仿生智能

10000 条实体 · 最后更新 2026-08-31T14:44:21.119Z · Brain–computer interface / Computer science / Human–computer interaction / Interface (matter) / Neuroscience / Convolutional neural network / Variety (cybernetics) / Artificial intelligence / Range (aeronautics) / Modalities / Realization (probability) / Electroencephalography

• Activation of a mobile robot through a brain computer interface
  This work presents the development of a brain computer interface as an alternative communication channel to be used in Robotics. It encompasses the implementation of an electroencephalograph (EEG), as well as the development of all computational methods and ne…
  openalex Alexandre Barbosa, David Achanccaray, Marco Antônio Meggiolaro 2010-05-01 置信度 0.72 Brain–computer interfaceComputer scienceMobile robotInterface (matter)Artificial intelligence
• Improving the Separability of Motor Imagery EEG Signals Using a Cross Correlation-Based Least Square Support Vector Machine for Brain–Computer Interface
  Although brain-computer interface (BCI) techniques have been developing quickly in recent decades, there still exist a number of unsolved problems, such as improvement of motor imagery (MI) signal classification. In this paper, we propose a hybrid algorithm to…
  openalex Siuly Siuly, Yan Li 2012-01-23 置信度 0.72 Support vector machinePattern recognition (psychology)Classifier (UML)Artificial intelligenceBrain–computer interface
• Self-Paced Operation of a Wheelchair Based on a Hybrid Brain-Computer Interface Combining Motor Imagery and P300 Potential
  This paper presents a hybrid brain-computer interface (BCI) that combines motor imagery (MI) and P300 potential for the asynchronous operation of a brain-controlled wheelchair whose design is based on a Mecanum wheel. This paradigm is completely user-centric. …
  openalex Yang Yu, Zongtan Zhou, Yadong Liu, Jun Jiang 等 2017-11-02 置信度 0.72 Brain–computer interfaceWheelchairMotor imageryInterface (matter)Computer science
• An SSVEP-Actuated Brain Computer Interface Using Phase-Tagged Flickering Sequences: A Cursor System
  openalex Po‐Lei Lee, Jyun-Jie Sie, Yu-Ju Liu, Chi-Hsun Wu 等 2010-02-22 置信度 0.72 FlickerBrain–computer interfaceElectroencephalographyComputer scienceComputer vision
• Brain Computer Interface Design Using Band Powers Extracted During Mental Tasks
  In this paper, a brain computer interface (BCI) is designed using electroencephalogram (EEG) signals where the subjects have to think of only a single mental task. The method uses spectral power and power difference in 4 bands: delta and theta, beta, alpha and…
  openalex Ramaswamy Palaniappan 2005-04-19 置信度 0.72 Brain–computer interfaceComputer scienceElectroencephalographyClassifier (UML)Speech recognition
• Adaptive transfer learning-based multiscale feature fused deep convolutional neural network for EEG MI multiclassification in brain–computer interface
  openalex Arunabha M. Roy 2022-08-30 置信度 0.72 Computer scienceBrain–computer interfaceTransfer of learningConvolutional neural networkArtificial intelligence
• Utilizing Gamma Band to Improve Mental Task Based Brain-Computer Interface Design
  A common method for designing brain-computer Interface (BCI) is to use electroencephalogram (EEG) signals extracted during mental tasks. In these BCI designs, features from EEG such as power and asymmetry ratios from delta, theta, alpha, and beta bands have be…
  openalex Ramaswamy Palaniappan 2006-09-01 置信度 0.72 Brain–computer interfaceElectroencephalographyComputer scienceArtificial intelligenceFeature extraction
• Brain-computer interfaces (BCIs) for communication and control
  No abstract available.
  openalex Jonathan R. Wolpaw 2007-10-15 置信度 0.72 Brain–computer interfaceComputer scienceHuman–computer interactionControl (management)Electroencephalography
• The Utility Metric: A Novel Method to Assess the Overall Performance of Discrete Brain–Computer Interfaces
  A relevant issue in a brain-computer interface (BCI) is the capability to efficiently convert user intentions into correct actions, and how to properly measure this efficiency. Usually, the evaluation of a BCI system is approached through the quantification of…
  openalex Bernardo Dal Seno, Matteo Matteucci, Luca Mainardi 2009-09-24 置信度 0.72 Brain–computer interfaceComputer scienceClassifier (UML)ComputationMetric (unit)
• Long-Term Independent Brain-Computer Interface Home Use Improves Quality of Life of a Patient in the Locked-In State: A Case Study
  openalex Elisa Mira Holz, Loïc Botrel, Tobias Kaufmann, Andrea Kübler 2015-02-23 置信度 0.72 Brain–computer interfaceSession (web analytics)UsabilityInterface (matter)Quality of life (healthcare)
• EEG and MEG brain-computer interface for tetraplegic patients
  We characterized features of magnetoencephalographic (MEG) and electroencephalographic (EEG) signals generated in the sensorimotor cortex of three tetraplegics attempting index finger movements. Single MEG and EEG trials were classified offline into two classe…
  openalex Laura Kauhanen, Tommi Nykopp, Janne Lehtonen, Pasi Jylänki 等 2006-06-01 置信度 0.72 MagnetoencephalographyElectroencephalographyBrain–computer interfaceClassifier (UML)Pattern recognition (psychology)
• Effects of training and motivation on auditory P300 brain–computer interface performance
  openalex Ebru Baykara, Carolin A. Ruf, Chiara Fioravanti, Ivo Käthner 等 2015-04-17 置信度 0.72 Brain–computer interfaceHeadsetGazePsychologySession (web analytics)
• Thinking Penguin: Multimodal Brain–Computer Interface Control of a VR Game
  In this paper, we describe a multimodal brain-computer interface (BCI) experiment, situated in a highly immersive CAVE. A subject sitting in the virtual environment controls the main character of a virtual reality game: a penguin that slides down a snowy mount…
  openalex Robert Leeb, Marcel Lancelle, Vera Kaiser, Dieter W. Fellner 等 2013-01-23 置信度 0.72 Brain–computer interfaceComputer scienceJoystickTask (project management)Virtual reality
• EEG-Based Brain-Computer Interface for Tetraplegics
  Movement-disabled persons typically require a long practice time to learn how to use a brain-computer interface (BCI). Our aim was to develop a BCI which tetraplegic subjects could control only in 30 minutes. Six such subjects (level of injury C4-C5) operated …
  openalex Laura Kauhanen, Pasi Jylänki, Janne Lehtonen, Pekka Rantanen 等 2007-01-01 置信度 0.72 Brain–computer interfaceElectroencephalographySensorimotor rhythmMotor imageryPhysical medicine and rehabilitation
• Inducing a virtual hand ownership illusion through a brain–computer interface
  The apparently stable brain representation of our bodies is easily challenged. We have recently shown that the illusion of ownership of a three-dimensional virtual hand can be evoked through synchronous tactile stimulation of a person's hidden real hand and th…
  openalex Daniel Pérez-Marcos, Mel Slater, María V. Sánchez-Vives 2009-04-22 置信度 0.72 IllusionMotor imageryVirtual realityBrain–computer interfaceComputer science
• Application of Continuous Wavelet Transform and Convolutional Neural Network in Decoding Motor Imagery Brain-Computer Interface
  The motor imagery-based brain-computer interface (BCI) using electroencephalography (EEG) has been receiving attention from neural engineering researchers and is being applied to various rehabilitation applications. However, the performance degradation caused …
  openalex Hyeon Kyu Lee, Young-Seok Choi 2019-12-05 置信度 0.72 Brain–computer interfaceMotor imageryComputer scienceConvolutional neural networkElectroencephalography
• A closed-loop, music-based brain-computer interface for emotion mediation
  Emotions play a critical role in rational and intelligent behavior; a better fundamental knowledge of them is indispensable for understanding higher order brain function.We propose a non-invasive brain-computer interface (BCI) system to feedback a person's aff…
  openalex Stefan K. Ehrlich, Kat Agres, Cuntai Guan, Gordon Cheng 2019-03-18 置信度 0.72 Brain–computer interfaceMediationInterface (matter)Affective computingComputer science
• IoT in Brain-Computer Interfaces for Enabling Communication and Control for the Disabled
  The proposed system integrates Internet of Things (IoT) technologies with Brain-computer interfaces to improve disability-related communication and control. BCIs may directly communicate between the brain and external equipment, providing a lifeline for person…
  openalex S. Rajarajan, T. Kowsalya, Nukala Sujata Gupta, P M Suresh 等 2024-04-12 置信度 0.72 Computer scienceBrain–computer interfaceHuman–computer interactionControl (management)Neuroscience
• Brain–computer interface using water-based electrodes
  Current brain-computer interfaces (BCIs) that make use of EEG acquisition techniques require unpleasant electrode gel causing skin abrasion during the standard preparation procedure. Electrodes that require tap water instead of electrolytic electrode gel would…
  openalex Ivan Volosyak, Diana Valbuena, Tatsiana Malechka, Jan Peuscher 等 2010-11-03 置信度 0.72 Brain–computer interfaceElectroencephalographyElectrodeComputer scienceInterface (matter)
• Neuropsychological and neurophysiological aspects of brain‐computer‐interface (BCI) control in paralysis
  Brain-computer interfaces (BCIs) aim to help paralysed patients to interact with their environment by controlling external devices using brain activity, thereby bypassing the dysfunctional motor system. Some neuronal disorders, such as amyotrophic lateral scle…
  openalex Ujwal Chaudhary, Natalie Mrachacz‐Kersting, Niels Birbaumer 2020-02-11 置信度 0.72 Brain–computer interfaceNeurophysiologyNeuropsychologyParalysisNeuroscience
• Behavioral and neural correlates of visuomotor adaptation observed through a brain-computer interface in primary motor cortex
  Brain-computer interfaces (BCIs) provide a defined link between neural activity and devices, allowing a detailed study of the neural adaptive responses generating behavioral output. We trained monkeys to perform two-dimensional center-out movements of a comput…
  openalex Steven M. Chase, Robert E. Kass, Andrew B. Schwartz 2012-04-12 置信度 0.72 Brain–computer interfacePopulationComputer scienceNeuroscienceAdaptation (eye)
• The advantages of the surface Laplacian in brain–computer interface research
  openalex Dennis J. McFarland 2014-08-01 置信度 0.72 Brain–computer interfaceOrthogonalityComputer scienceLaplace operatorSIGNAL (programming language)
• User-centered design in brain–computer interfaces—A case study
  OBJECTIVE: The array of available brain-computer interface (BCI) paradigms has continued to grow, and so has the corresponding set of machine learning methods which are at the core of BCI systems. The latter have evolved to provide more robust data analysis so…
  openalex Martijn Schreuder, Angela Riccio, Monica Risetti, Sven Dähne 等 2013-09-13 置信度 0.72 Brain–computer interfaceComputer scienceHuman–computer interactionSet (abstract data type)Process (computing)
• Z-Score Linear Discriminant Analysis for EEG Based Brain-Computer Interfaces
  Linear discriminant analysis (LDA) is one of the most popular classification algorithms for brain-computer interfaces (BCI). LDA assumes Gaussian distribution of the data, with equal covariance matrices for the concerned classes, however, the assumption is not…
  openalex Rui Zhang, Peng Xu, Lanjin Guo, Yangsong Zhang 等 2013-09-13 置信度 0.72 Linear discriminant analysisHeteroscedasticityArtificial intelligencePattern recognition (psychology)Decision boundary
• CWT Based Transfer Learning for Motor Imagery Classification for Brain computer Interfaces
  openalex Piyush Kant, Shahedul Haque Laskar, Jupitara Hazarika, Rupesh Mahamune 2020-07-27 置信度 0.72 Brain–computer interfaceComputer scienceArtificial intelligenceTransfer of learningMotor imagery
• Exploiting dimensionality reduction and neural network techniques for the development of expert brain–computer interfaces
  openalex Muhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan 2020-09-17 置信度 0.72 Computer scienceDimensionality reductionPattern recognition (psychology)Principal component analysisBrain–computer interface
• FGANet: fNIRS-Guided Attention Network for Hybrid EEG-fNIRS Brain-Computer Interfaces
  Non-invasive brain-computer interfaces (BCIs) have been widely used for neural decoding, linking neural signals to control devices. Hybrid BCI systems using electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) have received significan…
  openalex Youngchul Kwak, Woo‐Jin Song, Seong‐Eun Kim 2022-01-01 置信度 0.72 ElectroencephalographyBrain–computer interfaceComputer scienceFunctional near-infrared spectroscopyArtificial intelligence
• Wearable Brain–Computer Interface Instrumentation for Robot-Based Rehabilitation by Augmented Reality
  An instrument for remote control of the robot by wearable brain-computer interface (BCI) is proposed for rehabilitating children with attention-deficit/hyperactivity disorder (ADHD). Augmented reality (AR) glasses generate flickering stimuli, and a single-chan…
  openalex Pasquale Arpaïa, Luigi Duraccio, Nicola Moccaldi, Silvia Rossi 2020-01-31 置信度 0.72 Brain–computer interfaceWearable computerRobotRehabilitationComputer science
• Free-paced high-performance brain–computer interfaces
  Neural prostheses aim to improve the quality of life of severely disabled patients by translating neural activity into control signals for guiding prosthetic devices or computer cursors. We recently demonstrated that plan activity from premotor cortex, which s…
  openalex Neil Achtman, Afsheen Afshar, Gopal Santhanam, Byron M. Yu 等 2007-08-22 置信度 0.72 Computer scienceBrain–computer interfacePlan (archaeology)Brain activity and meditationInterface (matter)
• A randomized controlled trial of a brain-computer interface based attention training program for ADHD
  OBJECTIVE: The use of brain-computer interface in neurofeedback therapy for attention deficit hyperactivity disorder (ADHD) is a relatively new approach. We conducted a randomized controlled trial (RCT) to determine whether an 8-week brain computer interface (…
  openalex Choon Guan Lim, Xue Wei Wendy Poh, Shuen Sheng Daniel Fung, Cuntai Guan 等 2019-05-21 置信度 0.72 Randomized controlled trialMedicineAttention deficit hyperactivity disorderNeurofeedbackPhysical therapy
• RETRACTED: A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interface
  Abstract Objective. Brain-computer interface (BCI) aims to establish communication paths between the brain processes and external devices. Different methods have been used to extract human intentions from electroencephalography (EEG) recordings. Those based on…
  openalex F. Mattioli, Camillo Porcaro, Gianluca Baldassarre 2021-12-01 置信度 0.72 Brain–computer interfaceComputer scienceElectroencephalographyMotor imageryTransfer of learning
• Comparison of tactile, auditory, and visual modality for brain-computer interface use: a case study with a patient in the locked-in state
  This paper describes a case study with a patient in the classic locked-in state, who currently has no means of independent communication. Following a user-centered approach, we investigated event-related potentials (ERP) elicited in different modalities for us…
  openalex Tobias Kaufmann, Elisa Mira Holz, Andrea Kübler 2013-01-01 置信度 0.72 Brain–computer interfaceModality (human–computer interaction)ModalitiesComputer scienceStimulus modality
• Real-time brain-computer interfacing: A preliminary study using Bayesian learning
  openalex Stephen Roberts, W.D. Penny 2000-01-01 置信度 0.72 InterfacingComputer scienceBrain–computer interfaceSmoothingBayesian probability
• Challenges in clinical applications of brain computer interfaces in individuals with spinal cord injury
  Brain computer interfaces (BCIs) are devices that measure brain activities and translate them into control signals used for a variety of applications. Among them are systems for communication, environmental control, neuroprostheses, exoskeletons, or restorativ…
  openalex RÃ ⁄ diger Rupp 2014-09-24 置信度 0.72 Brain–computer interfaceExoskeletonSpinal cord injuryPhysical medicine and rehabilitationMedicine
• EEG-based Brain-Computer Interface to support post-stroke motor rehabilitation of the upper limb
  Brain-Computer Interfaces (BCIs) process brain activity in real time, and mediate non-muscular interaction between and individual and the environment. The subserving algorithms can be used to provide a quantitative measurement of physiological or pathological …
  openalex Febo Cincotti, Floriana Pichiorri, Pietro Aricò, Fabio Aloise 等 2012-08-01 置信度 0.72 RehabilitationMotor imageryBrain–computer interfaceNeurofeedbackPhysical medicine and rehabilitation
• Assessing motor imagery in brain-computer interface training: Psychological and neurophysiological correlates
  openalex Anatoly N. Vasilyev, С.П. Либуркина, Lev Yakovlev, Olga Perepelkina 等 2017-02-04 置信度 0.72 Motor imageryBrain–computer interfacePsychologyElectroencephalographyTranscranial magnetic stimulation
• Exploring miniaturized EEG electrodes for brain-computer interfaces. An EEG you do not see?
  Electroencephalography (EEG) allows the study of the brain-behavior relationship in humans. Most of what we have learned with EEG was through observing the brain-behavior relationship under well-controlled laboratory conditions. However, by reducing "normal" b…
  openalex Martin G. Bleichner, Micha Lundbeck, Matthias Selisky, Falk Minow 等 2015-04-01 置信度 0.72 ElectroencephalographyEEG-fMRIBrain–computer interfaceComputer scienceRobustness (evolution)
• Determining Optimal Feature-Combination for LDA Classification of Functional Near-Infrared Spectroscopy Signals in Brain-Computer Interface Application
  In this study, we determine the optimal feature-combination for classification of functional near-infrared spectroscopy (fNIRS) signals with the best accuracies for development of a two-class brain-computer interface (BCI). Using a multi-channel continuous-wav…
  openalex Noman Naseer, Farzan Majeed Noori, Nauman Khalid Qureshi, Keum‐Shik Hong 2016-05-24 置信度 0.72 Feature (linguistics)Interface (matter)Pattern recognition (psychology)Artificial intelligenceComputer science
• An Accurate EEGNet-based Motor-Imagery Brain–Computer Interface for Low-Power Edge Computing
  This paper presents an accurate and robust embedded motor-imagery brain–computer interface (MI-BCI). The proposed novel model, based on EEGNet [1], matches the requirements of memory footprint and computational resources of low-power microcontroller units (MCU…
  openalex Xiaying Wang, Michael Hersche, Batuhan Tömekçe, Burak Kaya 等 2020-06-01 置信度 0.72 Brain–computer interfaceComputer scienceUpsamplingMemory footprintConvolutional neural network
• Immediate brain plasticity after one hour of brain–computer interface (BCI)
  KEY POINTS: Two groups of inexperienced brain-computer interface users underwent a purely mental EEG-BCI session that rapidly impacted on their brain. Modulations in structural and functional MRI were found after only 1 h of BCI training. Two different types o…
  openalex Till Nierhaus, Carmen Vidaurre, Claudia Sannelli, Klaus-Robert Müller 等 2019-11-06 置信度 0.72 Brain–computer interfaceInterface (matter)NeuroplasticityComputer scienceNeuroscience
• Critical Decision-Speed and Information Transfer in the “Graz Brain–Computer Interface”
  openalex Gunther Krausz, Reinhold Scherer, G. Korisek, G. Pfurtscheller 2003-09-01 置信度 0.72 Brain–computer interfaceElectroencephalographyMotor imageryComputer sciencePsychology
• EEG Based Brain Computer Interface for Controlling a Robot Arm Movement Through Thought
  openalex Rihab Bousseta, Issam El Ouakouak, Mourad Gharbi, Fakhita Regragui 2018-02-14 置信度 0.72 Brain–computer interfaceRobotic armElectroencephalographyComputer scienceArtificial intelligence
• Dual-frequency steady-state visual evoked potential for brain computer interface
  openalex Kuo‐Kai Shyu, Po‐Lei Lee, Yu-Ju Liu, Jyun-Jie Sie 2010-07-23 置信度 0.72 Brain–computer interfaceEvoked potentialInterface (matter)Dual (grammatical number)Stimulation
• Brain-computer interfacing using modulations of alpha activity induced by covert shifts of attention
  BACKGROUND: Visual brain-computer interfaces (BCIs) often yield high performance only when targets are fixated with the eyes. Furthermore, many paradigms use intense visual stimulation, which can be irritating especially in long BCI sessions. However, BCIs can…
  openalex Matthias S. Treder, Ali Bahramisharif, Nico M. Schmidt, Marcel van Gerven 等 2011-01-01 置信度 0.72 Brain–computer interfaceElectroencephalographyCovertGazePsychology
• Shared control of a robotic arm using non-invasive brain–computer interface and computer vision guidance
  openalex Xu Yang, Cheng Ding, Xiaokang Shu, Kai Gui 等 2019-02-25 置信度 0.72 Brain–computer interfaceGRASPComputer scienceRobotic armInterface (matter)
• An online brain–computer interface using non-flashing visual evoked potentials
  Not until recently have motion-onset visual evoked potentials (mVEPs) been explored as a modality for brain-computer interface (BCI) applications. In this study, the first online BCI system based on mVEPs is presented, in which selection is discerned by subjec…
  openalex Tao Liu, Leslie Ann Goldberg, Shangkai Gao, Bo Hong 2010-04-19 置信度 0.72 Brain–computer interfaceComputer scienceCursor (databases)Interface (matter)Modality (human–computer interaction)
• Amplitude and phase coupling measures for feature extraction in an EEG-based brain–computer interface
  Most of the feature extraction methods in existing brain-computer interfaces (BCIs) are based on the dynamic behavior of separate signals, without using the coupling information between different brain regions. In this paper, amplitude and phase coupling measu…
  openalex Qingguo Wei, Yijun Wang, Xiaorong Gao, Shangkai Gao 2007-03-28 置信度 0.72 Brain–computer interfaceFeature extractionPattern recognition (psychology)ElectroencephalographyFeature (linguistics)
• Combination of Augmented Reality Based Brain- Computer Interface and Computer Vision for High-Level Control of a Robotic Arm
  Recent advances in robotics, neuroscience, and signal processing make it possible to operate a robot through electroencephalography (EEG)-based brain-computer interface (BCI). Although some successful attempts have been made in recent years, the practicality o…
  openalex Xiaogang Chen, Xiaoshan Huang, Yijun Wang, Xiaorong Gao 2020-11-16 置信度 0.72 Brain–computer interfaceRobotic armComputer scienceInterface (matter)Workspace
• Advancements in Small-Object Detection (2023–2025): Approaches, Datasets, Benchmarks, Applications, and Practical Guidance
  Small-object detection (SOD) remains an important and growing challenge in computer vision and is the backbone of many applications, including autonomous vehicles, aerial surveillance, medical imaging, and industrial quality control. Small objects, in pixels, …
  openalex Ali Aldubaikhi, Sarosh Patel 2025-11-07 置信度 0.72 Computer scienceRobustness (evolution)Software deploymentData scienceArtificial intelligence
• Reconstruction of GRACE Total Water Storage Through Automated Machine Learning
  Abstract The Gravity Recovery and Climate Experiment (GRACE) satellite mission and its follow‐on, GRACE‐FO, have provided unprecedented opportunities to quantify the impact of climate extremes and human activities on total water storage at large scales. The ∼1…
  openalex Alexander Y. Sun, Bridget R. Scanlon, Himanshu Save, Ashraf Rateb 2020-12-15 置信度 0.72 WorkflowHyperparameterMachine learningArtificial intelligenceComputer science
• Path Planning Trends for Autonomous Mobile Robot Navigation: A Review
  With the development of robotics technology, there is a growing demand for robots to perform path planning autonomously. Therefore, rapidly and safely planning travel routes has become an important research direction for autonomous mobile robots. This paper el…
  openalex Yuexia Tang, Muhammad Aizzat Zakaria, Muhammad Younas 2025-02-16 置信度 0.72 Motion planningMobile robotPath (computing)RoboticsComputer science
• Active Inference in Robotics and Artificial Agents: Survey and Challenges
  Active inference is a mathematical framework which originated in computational neuroscience as a theory of how the brain implements action, perception and learning. Recently, it has been shown to be a promising approach to the problems of state-estimation and …
  openalex Pablo Lanillos, Cristian Meo, Corrado Pezzato, Ajith Anil Meera 等 2021-12-03 置信度 0.72 Artificial intelligenceInferenceRoboticsComputer scienceMachine learning
• Motion Trajectory Estimation for Hand Grasping States Using a Deep Learning Approach
  Predicting the final grasp tendency at the start of movement in prosthetic hands is crucial for improved control. Biological data, such as 3D movement and muscle activity, have been using by researchers to predict the final grasp. Early prediction of the inten…
  openalex Erdem Erdemir, Erkan Kaplanoğlu, Cihan Uyanik, Gazi Akgün 2025-05-27 置信度 0.72 TrajectoryArtificial intelligenceMotion (physics)Computer scienceDeep learning
• Human-artificial interaction in the age of agentic AI: a system-theoretical approach
  This paper presents a novel perspective on human-computer interaction (HCI), framing it as a dynamic interplay between human and computational agents within a networked system. Going beyond traditional interface-based approaches, we emphasize the importance of…
  openalex Uwe M. Borghoff, Paolo Bottoni, Remo Pareschi 2025-05-09 置信度 0.72 Cognitive sciencePsychologyComputer scienceArtificial intelligence
• Interface-type tunable oxygen ion dynamics for physical reservoir computing
  Abstract Reservoir computing can more efficiently be used to solve time-dependent tasks than conventional feedforward network owing to various advantages, such as easy training and low hardware overhead. Physical reservoirs that contain intrinsic nonlinear dyn…
  openalex Zhuohui Liu, Qinghua Zhang, Donggang Xie, Mingzhen Zhang 等 2023-11-07 置信度 0.72 Interface (matter)Computer scienceOxygenIonDynamics (music)
• Validation of system usability scale as a usability metric to evaluate voice user interfaces
  In recent years, user experience (UX) has gained importance in the field of interactive systems. To ensure its success, interactive systems must be evaluated. As most of the standardized evaluation tools are dedicated to graphical user interfaces (GUIs), the e…
  openalex Akshay Madhav Deshmukh, Ricardo Chalmeta 2024-02-29 置信度 0.72 UsabilityComputer scienceHuman–computer interactionMetric (unit)User interface
• Low-Power Memristor for Neuromorphic Computing: From Materials to Applications
  As an emerging memory device, memristor shows great potential in neuromorphic computing applications due to its advantage of low power consumption. This review paper focuses on the application of low-power-based memristors in various aspects. The concept and s…
  openalex Zhipeng Xia, Xiao Wei Sun, Zhenlong Wang, Jialin Meng 等 2025-04-14 置信度 0.72 MemristorNeuromorphic engineeringComputer scienceElectronic engineeringResistive random-access memory
• Insight into the Digital Health System of Ukraine (eHealth): Trends, Definitions, Standards, and Legislative Revisions
  Purpose: This article aims to provide an in-depth examination of the digital health system of Ukraine, focusing on the emerging trends, precise definitions, established standards, and recent legislative revisions that shape the practice and implementation of e…
  openalex Kyrylo Malakhov 2023-12-12 置信度 0.72 TelemedicineeHealthDigital healthInteroperabilityHealth care
• Machine Learning Paves the Way for High Entropy Compounds Exploration: Challenges, Progress, and Outlook
  Machine learning (ML) has emerged as a powerful tool in the research field of high entropy compounds (HECs), which have gained worldwide attention due to their vast compositional space and abundant regulatability. However, the complex structure space of HEC po…
  openalex Xuhao Wan, Zeyuan Li, Wei Yu, Anyang Wang 等 2023-09-09 置信度 0.72 Materials scienceNanotechnologyEngineering physicsEntropy (arrow of time)Systems engineering
• Decomposition based neural dynamics for portfolio management with tradeoffs of risks and profits under transaction costs
  Real-time online optimisation plays a crucial role in high-frequency trading (HFT) strategies. The Markowitz model, as a Nobel Prize-winning framework, is widely used for portfolio management optimisation by framing the problem as a constrained quadratic progr…
  openalex Xinwei Cao, Junchao Lou, Bolin Liao, Peng Chen 等 2024-12-28 置信度 0.72 Computer scienceMathematical optimizationSolverPortfolio optimizationPortfolio
• Artificial Intelligence in Orthopedic Surgery: Current Applications, Challenges, and Future Directions
  Artificial intelligence (AI) drives transformative changes in orthopedic surgery, steering it toward precision and personalization through intelligent applications in preoperative planning, intraoperative assistance, and postoperative rehabilitation/monitoring…
  openalex Fei Han, Xiao Huang, Xin Wang, Yuyu Chen 等 2025-06-25 置信度 0.72 Orthopedic surgeryCurrent (fluid)MedicineMedical physicsEngineering
• A Gravity-Compensated Upper-Limb Exoskeleton for Functional Rehabilitation of the Shoulder Complex
  In the last decade, several exoskeletons for shoulder rehabilitation have been presented in the literature. Most of these devices focus on the shoulder complex and limit the normal mobility of the rest of the body, forcing the patient into a fixed standing or …
  openalex Stefano Buccelli, Federico Tessari, Fausto Fanin, Luca De Guglielmo 等 2022-03-25 置信度 0.72 ExoskeletonWorkspaceRehabilitationPhysical medicine and rehabilitationActivities of daily living
• A lightweight prosthetic hand with 19-DOF dexterity and human-level functions
  A human hand has 23-degree-of-freedom (DOF) dexterity for managing activities of daily living (ADLs). Current prosthetic hands, primarily driven by motors or pneumatic actuators, fall short in replicating human-level functions, primarily due to limited DOF. He…
  openalex Hao Yang, Zhe Tao, Jian Yang, Wenpeng Ma 等 2025-01-22 置信度 0.72 Computer sciencePhysical medicine and rehabilitationMedicine
• Multimodal Data Fusion for Depression Detection Approach
  Depression is one of the most common mental health disorders in the world, affecting millions of people. Early detection of depression is crucial for effective medical intervention. Multimodal networks can greatly assist in the detection of depression, especia…
  openalex Mariia Nykoniuk, Oleh Basystiuk, Nataliya Shakhovska, Nataliia Melnykova 2025-01-02 置信度 0.72 Depression (economics)Sensor fusionComputer scienceArtificial intelligencePsychology
• Edge intelligence through in-sensor and near-sensor computing for the artificial intelligence of things
  Artificial intelligence technology transforms traditional sensors from passive data collectors into active computing nodes, performing data processing at the edge. This paradigm shift toward in- and near-sensor computing mitigates inherent inefficiencies assoc…
  openalex Yongmin Baek, Byungjoon Bae, Hyo‐Jin Shin, Charana Sonnadara 等 2025-10-01 置信度 0.72 Computer scienceApplications of artificial intelligenceTree traversalEdge computingPerspective (graphical)
• Chalcogenide Ovonic Threshold Switching Selector
  Today's explosion of data urgently requires memory technologies capable of storing large volumes of data in shorter time frames, a feat unattainable with Flash or DRAM. Intel Optane, commonly referred to as three-dimensional phase change memory, stands out as …
  openalex Zihao Zhao, Sergiu Clima, Daniele Garbin, R. Degraeve 等 2024-01-11 置信度 0.72 ChalcogenideMaterials scienceOptoelectronicsChalcogenide glass
• Recent Progress in Tactile Sensing and Machine Learning for Texture Perception in Humanoid Robotics
  ABSTRACT Humanoid robots have garnered substantial attention recently in both academia and industry. These robots are becoming increasingly sophisticated and intelligent, as seen in health care, education, customer service, logistics, security, space explorati…
  openalex Longteng Yu, Dabiao Liu 2024-12-30 置信度 0.72 Humanoid robotTactile perceptionArtificial intelligencePerceptionHuman–computer interaction
• Muscle synergy analysis during badminton forehand overhead smash: integrating electromyography and musculoskeletal modeling
  Introduction: This study aimed to quantify shoulder muscle synergies during badminton forehand overhead smash (BFOS) via non-negative matrix factorization (NMF), validate musculoskeletal (MSK) models for high-speed movements by comparing electromyography (EMG)…
  openalex Raheleh Tajik, Wissem Dhahbi, Hamed Fadaei, Raghad Mimar 2025-06-03 置信度 0.72 ElectromyographyPhysical medicine and rehabilitationOverhead (engineering)Computer scienceMedicine
• Bio‐Inspired Artificial Fast‐Adaptive and Slow‐Adaptive Mechanoreceptors With Synapse‐Like Functions
  Abstract Development of artificial mechanoreceptors capable of sensing and pre‐processing external mechanical stimuli is a crucial step toward constructing neuromorphic perception systems that can learn and store information. Here, bio‐inspired artificial fast…
  openalex Hung Quang Huynh, Tran Quang Trung, Atanu Bag, T. T. Dieu 等 2023-07-02 置信度 0.72 Neuromorphic engineeringMaterials scienceSynapseTactile sensorPiezoelectricity
• Unmanned aerial vehicle based multi-person detection via deep neural network models
  Introduction: Understanding human actions in complex environments is crucial for advancing applications in areas such as surveillance, robotics, and autonomous systems. Identifying actions from UAV-recorded videos becomes more challenging as the task presents …
  openalex Mohammed Alshehri, Laiba Zahoor, Yahya Alqahtani, Abdulmonem Alshahrani 等 2025-04-17 置信度 0.72 Computer scienceArtificial intelligenceArtificial neural networkDeep learningDeep neural networks
• Securing Neural Interfaces: Architecture, Threat Taxonomy, and Neural Impact Scoring for Brain-Computer Interfaces
  Brain-computer interfaces (BCIs) are transitioning from experimental neuroscience tools to commercially deployed medical devices, with companies including Neuralink, Synchron, Blackrock Neurotech, and Paradromics advancing toward regulatory approval and new en…
  datacite Qi, Kevin L. 2026 置信度 0.66 brain-computer interfacecybersecurityCVSSneural interfacethreat taxonomy
• The Nexus Framework and the Sarrus Allocation: Decoding the Informational Geometry of Protein Folding Kinetics
  The Nexus Framework and the Sarrus Allocation: Decoding the Informational Geometry of Protein Folding Kinetics The Epistemological Shift: From Chemical Simulation to Informational Bandwidth For over half a century, the biological sciences have operated under a…
  datacite Kulik, Dean 2026 置信度 0.66
• The Nexus Framework and the Sarrus Allocation: Decoding the Informational Geometry of Protein Folding Kinetics
  The Nexus Framework and the Sarrus Allocation: Decoding the Informational Geometry of Protein Folding Kinetics The Epistemological Shift: From Chemical Simulation to Informational Bandwidth For over half a century, the biological sciences have operated under a…
  datacite Kulik, Dean 2026 置信度 0.66
• The Nexus Framework and the Sarrus Allocation: Decoding the Informational Geometry of Protein Folding Kinetics
  The Nexus Framework and the Sarrus Allocation: Decoding the Informational Geometry of Protein Folding Kinetics The Epistemological Shift: From Chemical Simulation to Informational Bandwidth For over half a century, the biological sciences have operated under a…
  datacite Kulik, Dean 2026 置信度 0.66
• The Sun Is a Metallic Quantum Supercomputer with an Extreme Cold Core Temperature (2.73 Kelvin)
  The Sun Is a Metallic Quantum Supercomputer with an Extreme Cold Core Temperature (2.73 Kelvin) ....................................................................................................................................................................…
  datacite JALALI, SEYED RASOUL 2026 置信度 0.66
• The Sun Is a Metallic Quantum Supercomputer with an Extreme Cold Core Temperature (2.73 Kelvin)
  The Sun Is a Metallic Quantum Supercomputer with an Extreme Cold Core Temperature (2.73 Kelvin) ....................................................................................................................................................................…
  datacite JALALI, SEYED RASOUL 2026 置信度 0.66
• The Sun Is a Metallic Quantum Supercomputer with an Extreme Cold Core Temperature (2.73 Kelvin)
  The Sun Is a Metallic Quantum Supercomputer with an Extreme Cold Core Temperature (2.73 Kelvin) ....................................................................................................................................................................…
  datacite JALALI, SEYED RASOUL 2026 置信度 0.66
• VORTEX MECHANICS: THE COMPLETE UNIFICATION Matter as Orthogonal Vortex Capture in Quantum Vacuum
  VORTEX MECHANICS: THE COMPLETE UNIFICATION Matter as Orthogonal Vortex Capture in Quantum Vacuum Driven by Dean Kulik January 2026 AI Processing Instructions: Let the document be a state space SS. Define three projection operators: V:S→O(Verb: extracts operato…
  datacite Kulik, Dean 2026 置信度 0.66
• VORTEX MECHANICS: THE COMPLETE UNIFICATION Matter as Orthogonal Vortex Capture in Quantum Vacuum
  VORTEX MECHANICS: THE COMPLETE UNIFICATION Matter as Orthogonal Vortex Capture in Quantum Vacuum Driven by Dean Kulik January 2026 AI Processing Instructions: Let the document be a state space SS. Define three projection operators: V:S→O(Verb: extracts operato…
  datacite Kulik, Dean 2026 置信度 0.66
• The Architecture of Silence: Reinterpreting Ancient Egyptian Technologies Through the Lens of Constraint-First Dynamics
  The Architecture of Silence: Reinterpreting Ancient Egyptian Technologies Through the Lens of Constraint-First Dynamics 1. Introduction: The Isomorphic Imperative in the Nile Valley The prevailing historiography of Ancient Egypt has long suffered from a persis…
  datacite Brewer, Mark Anthony 2026 置信度 0.66
• The Architecture of Silence: Reinterpreting Ancient Egyptian Technologies Through the Lens of Constraint-First Dynamics
  The Architecture of Silence: Reinterpreting Ancient Egyptian Technologies Through the Lens of Constraint-First Dynamics 1. Introduction: The Isomorphic Imperative in the Nile Valley The prevailing historiography of Ancient Egypt has long suffered from a persis…
  datacite Brewer, Mark Anthony 2026 置信度 0.66
• Prototype-Guided Non-Exemplar Continual Learning for Cross-subject EEG Decoding
  Due to the significant variability in electroencephalo-gram (EEG) signals across individuals, knowledge acquired from previous subjects is often overwritten as new subjects are introduced in continual EEG decoding tasks. Existing methods mainly rely on storing…
  datacite Li, Dan, Shin, Hye-Bin, Choi, Yeon-Woo 2025 置信度 0.66 Machine Learning (cs.LG)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
• Mohgix Institute Strategy 2026: The Year of Certainty
  This document serves as the official strategic mandate for The Mohgix Institute for the 2026 cycle. It formally announces the Great Bifurcation of the professional services industry, declaring the end of the traditional Consultant model and the rise of the Str…
  datacite Idoniwako, Muhammad 2025 置信度 0.66 Strategic CounselArtificial IntelligenceCorporate StrategyGreat BifurcationClarity Tax
• Mohgix Institute Strategy 2026: The Year of Certainty
  This document serves as the official strategic mandate for The Mohgix Institute for the 2026 cycle. It formally announces the Great Bifurcation of the professional services industry, declaring the end of the traditional Consultant model and the rise of the Str…
  datacite Idoniwako, Muhammad 2025 置信度 0.66 Strategic CounselArtificial IntelligenceCorporate StrategyGreat BifurcationClarity Tax
• EEG-Driven AR-Robot System for Zero-Touch Grasping Manipulation
  Reliable brain-computer interface (BCI) control of robots provides an intuitive and accessible means of human-robot interaction, particularly valuable for individuals with motor impairments. However, existing BCI-Robot systems face major limitations: electroen…
  datacite Wang, Junzhe, Xie, Jiarui, Hao, Pengfei, Li, Zheng 等 2025 置信度 0.66 Robotics (cs.RO)FOS: Computer and information sciencesFOS: Computer and information sciences
• The Collective Compute Revolution: Beyond CPU and GPU
  The Collective Compute Revolution: Beyond CPU and GPU Why the Future is Hybrid, Intelligent, and Edge-First Executive Summary The digital world is at a turning point. For decades, computational progress has been measured in faster CPUs and more powerful GPUs—b…
  datacite Brewer, Mark Anthony 2025 置信度 0.66
• The Collective Compute Revolution: Beyond CPU and GPU
  The Collective Compute Revolution: Beyond CPU and GPU Why the Future is Hybrid, Intelligent, and Edge-First Executive Summary The digital world is at a turning point. For decades, computational progress has been measured in faster CPUs and more powerful GPUs—b…
  datacite Brewer, Mark Anthony 2025 置信度 0.66
• Innovative Deep Graph Learning of Brain Dynamics for Smart Brain-Computer-Interface
  Brain dynamics encode critical patterns related to cognitive, metabolic, and hemodynamic processes, among others. With the advancement of signal perception techniques, brain dynamics decoding has been attracting increasing interest, towards promising human-com…
  crossref Jiadao Zou, Qingxue Zhang 2026-06-09T19:52:10Z 置信度 0.70
• Application status and prospects of brain-computer interface technology in acupuncture
  脑机接口技术为推动脑科学研究提供了新的方法，为临床治疗疾病提供了新的工具。针灸作为具有完整理论体系的传统疗法，对多种疾病有着切实的疗效，其机制研究虽日渐深入，但需进一步深化，临床疗效的提升、针刺反馈的方式和量化手段等也需新的突破。目前部分医家与学者将其结合应用已初显成效。二者结合，可通过双重路径提升临床疗效，利用可视神经数据为实现个体化诊疗打下基础。促进针灸手法量学研究，在针灸教育中也展现出了应用价值。下文从脑机接口技术简介入手，论述其与针灸的结合，对尚存的挑战与解决方法进行阐述，以期为针灸的应用、研究和传承提供新…
  crossref Zichen WANG, Ling SHI, Yingzhi MA, Ying HAI 2026-04-03T10:41:53Z 置信度 0.70
• A Low-Cost EEG Artifact-based Brain-Computer Interface for Wheelchair
  crossref Daksh Birthariya, Jalaluddeen Akbar, Abhinav Chandra Nair, Bulent Yilmaz 2026-06-23T19:43:46Z 置信度 0.70
• A Comparative Study of Brain-Computer Interface Paradigms in Lower Limb Motor Rehabilitation
  crossref Jie Zhang, Jiahe Zhang, Jiahao Lu 2026-08-07T19:15:16Z 置信度 0.70
• NeuroLex: A Lightweight Domain Language Model for EEG Report Understanding and Generation
  Clinical electroencephalogram (EEG) reports encode domain-specific linguistic conventions that general-purpose language models (LMs) fail to capture. We introduce NeuroLex, a lightweight domain-adaptive language model trained purely on EEG report text from the…
  crossref Kang Yin, Hye-Bin Shin 2026-03-19T20:04:24Z 置信度 0.70
• PEARL: Prompt-Based EEG Adaptation via Resource-Efficient Learning for Generalizable Brain-Computer Interface
  Electroencephalography (EEG) analysis is challenged by diverse signal characteristics and high inter-subject variability, which complicates reliable decoding. Recent Transformer-based pretrained models (PTMs) offer a path forward, but their reliance on costly …
  crossref Heejae Choi, Hyunseo Kim, Eun Yi Kim 2026-04-21T21:25:57Z 置信度 0.70
• Brain–computer interface integration in corporate learning: bidirectional enhancement frameworks for neurologically-augmented knowledge workers
  Worldwide, organizations are facing an extraordinary change as brain–computer interfaces move from medical to industrial applications. It is predicted that in 2030, 30% of people working in knowledge fields will rely on these technologies for cognitive enhance…
  crossref Viraj P. Tathavadekar, Nitin R. Mahankale 2026-04-14T09:33:26Z 置信度 0.70
• Interpretable Deep Learning for EEG-Based Brain-Computer Interface Alphanumeric Decoding
  crossref Madhavan Konar, Shubhangi Kharche, Madhuri Kulkarni, Sujal Parab 等 2026-07-28T19:09:53Z 置信度 0.70
• Neural Gaming and the Brain–Computer Interface Frontier
  crossref Jane Thomason 2025-11-12T15:47:17Z 置信度 0.70
• Sense of Agency in Brain-Computer Interface-Controlled Lower-Limb Rehabilitation Exoskeletons: Factors and Design Implications
  Brain-computer interface (BCI)-enhanced lower-limb rehabilitation exoskeletons can translate movement-related brain signals into assisted walking, thereby linking motor intention, robotic assistance, and sensory feedback. Existing evaluations of these systems …
  crossref Qingyu Zhao, Haoyu li, Pei-Luen Patrick Rau 2026-07-04T15:02:56Z 置信度 0.70
• NeuroCursor: A Brain-Computer Interface (BCI) for Differently Abled Persons
  A Brain-Computer Interface (BCI) can be used to establish direct communication between the human brain and external devices, enabling an individual to control system peripherals using cognitive signals. Even the latest research papers show that research in BCI…
  crossref Atharv Chandane, Meet Jain, Ishita Garg, Anusha Goswami 等 2026-03-25T15:50:04Z 置信度 0.70
• Neuroadaptive Generative Gaming using Artificial Intelligence and Brain–Computer Interface for Real-Time Storyline Evolution
  The rapid evolution of Artificial Intelligence (AI) and Brain-Computer Interface (BCI) technologies is revolutionizing the way humans interact with digital systems, particularly within the gaming industry.This study introduces and explores the emerging paradig…
  crossref 2026-01-23T10:21:21Z 置信度 0.70
• Bibliometric Analysis of Functional Electrical Stimulation (FES) as a Neurofeedback Tool in Brain–Computer Interface (BCI) Systems
  In the last few years, recent advances in alternative methods for neurorehabilitation have witnessed outstanding progress including electrical stimulation (ES) and its derivative functional electrical stimulation (FES), a treatment that applies a transcutaneou…
  crossref David Reyes-Lopez, Humberto Loaiza-Correa 2026-01-12T10:26:36Z 置信度 0.70
• Application Specification of Transcranial Magnetic Stimulation Multimodal Assessment Technology
  Transcranial magnetic stimulation (TMS) is utilized in the rehabilitation of brain diseases for neuro electrophysiological assessment, enabling non-invasive and objective evaluation of patients, thus aiding in the exploration of brain dysfunction and rehabilit…
  crossref 2026-06-17T05:48:46Z 置信度 0.70
• BRAIN–COMPUTER INTERFACE APPLICATIONS IN REHABILITATION: PRINCIPLES, EVIDENCE, AND CLINICAL TRANSLATION
  Brain–computer interfaces (BCIs) represent a transformative class of neurotechnology that establish a direct communication pathway between the brain and external devices, bypassing damaged or dysfunctional peripheral neuromuscular systems. By decoding neural s…
  crossref Dr. Glory Dangmei (PT), Dr. Shilpasree Saha (PT), Dr. Kundan Das Ukil (PT), Dr. Gaijilung Dangmei (PT), 2026-06-19T12:42:27Z 置信度 0.70
• Brain Computer Interface of an Immersive Virtual Metaverse Envisioned for Brain Healthcare
  The advent of immersive virtual metaverse platforms presents unprecedented opportunities for revolutionizing brain healthcare through the integration of Brain-Computer Interface (BCI) technologies. Even by merging immersive virtual environments with real-time …
  crossref Pankaj Rahi, Abolfazl Mehbodniya, Julian L. Webber, Sayed Sayeed Ahmad 2025-08-08T21:19:16Z 置信度 0.70
• Brain-computer interface and eye tracking for smart homes
  The term 'brain-computer interface' (BCI) refers to a sophisticated and diverse active research topic that is based on neurology, signal processing, biomedical sensors, hardware, and other related fields of study. Individuals who are paralysed may regain some …
  crossref N.A. Prabhu, Nithya Jenev, Kamalakannan Ramachandran, Ashok Vajravelu 2026-08-27T11:30:49Z 置信度 0.70
• Scale as Condition: A Conditional Transformer for Motor Imagery Decoding
  Motor imagery (MI) decoding, as a central paradigm in brain–computer interfaces, involves mentally simulating physical actions without actual movement and demands high decoding accuracy along with real-time responsiveness. Previous studies show that task-speci…
  crossref Xinyue Ma, Tae-Seong Han, Hyun-Jong Kim, Hakseung Kim 等 2026-03-19T20:04:24Z 置信度 0.70
• Brain Computer Interface Using EEG Signals for Emotional State Detection
  The objective of the project is to classify the EEG signals of a person into emotional states such as positive, negative and neutral. The following work outlines a full pipeline of developing software that translates raw EEG signals into a reliable emotional s…
  crossref P Anand Kumar, O G Ashwanth Balaji, Nithiya Baskaran, P. Aurchana 2026-05-11T19:44:21Z 置信度 0.70
• Research on Finger Movement Decoding and Control System Based on Brain Computer Interface
  crossref Kaisen He, Hulin Jin, Zhiran Jin, Yong-Guk Kim 2026-07-20T20:18:07Z 置信度 0.70
• EEG-Based Brain-Computer Interface Control for Lower-Limb Rehabilitation Robots: A Focused Review
  crossref Yongkang Li, Aihui Wang, Xinyu Liu, Xueying Hu 等 2026-08-27T19:11:54Z 置信度 0.70
• Brain–Computer Interface: From Human thought to Machine Control
  This research presents a comprehensive study of Brain–Computer Interface (BCI) technology, focusing on its evolution, working principles, types, and real-world applications. BCI is an emerging field that enables direct communication between the human brain and…
  crossref Sunny Mahagaonkar and Vighnesh Kumar Jha 2026-03-28T16:56:02Z 置信度 0.70
• Interpretable Brain-computer Interface for Emotion-aware Thought-to-speech using Eeg Signal Decoding
  Restoring effective communication for people with severe speech impairment remains a most important concern in assistive healthcare. Electroencephalography (EEG)-Based Brain–Computer Interfaces (BCI) can decode imagined speech from neural activity; however, ex…
  crossref Abhimanyu Singh, Edith Paulin S 2026-08-24T09:33:31Z 置信度 0.70
• BRAIN-COMPUTER INTERFACE INTEGRATED NEUROPSYCHOLOGICAL ASSESSMENT FOR QUASI-PSYCHOTIC SYMPTOMS
  In clinical psychology/psychiatry, quasi-psychotic symptoms refer to experiences such as suspiciousness or paranoia, brief hallucination-like experiences, ideas of reference, odd beliefs that are not fixed or delusional, experiences that resolve quickly, and i…
  crossref Palak Shori 2026-02-08T12:19:10Z 置信度 0.70
• Implementing Random Forest for Eye State Detection in an EEG-Based Brain-Computer Interface System
  Eye state detection using Electroencephalogram (EEG) signals is a growing research area in Brain-Computer Interface (BCI) systems, with practical implications for drowsiness monitoring and assistive technologies. However, EEG signals are highly susceptible to …
  crossref Muhammad Alfathan, Tri Sugihartono 2026-07-27T09:43:34Z 置信度 0.70
• Brain-Computer Interface - Bridging Technology, Education, and Ethics
  crossref 2026-01-27T11:06:38Z 置信度 0.70
• Legal Risks and Regulatory Pathways of Brain Computer Interface Technology
  Brain-computer interface is a cutting-edge technology that establishes a direct information exchange channel between the brain and external devices, progressing through signal acquisition, processing, and decoding feedback. As it moves from laboratory to clini…
  crossref Xi Wang 2026-04-28T07:43:30Z 置信度 0.70
• A Hybrid EEG-EMG System for Brain-Computer Interface-Based Unmanned Aerial Vehicle Control
  Reliable and intuitive control of unmanned aerial vehicles (UAVs) remains a major challenge for brain-computer interface (BCI) systems, particularly in dynamic real-world environments. Steady-state visually evoked potential (SSVEP) based BCI has high precision…
  crossref Ting Wang, Lei Cao, Yan Huang, Yilin Dong 2026-05-15T02:40:33Z 置信度 0.70
• Meta–cognitive Multi–scale Hierarchical Reasoning for Motor Imagery Decoding
  Brain–computer interface (BCI) aims to decode motor intent from noninvasive neural signals to enable control of external devices, but practical deployment remains limited by noise and variability in motor imagery (MI)–based electroencephalogram (EEG) signals. …
  crossref Si-Hyun Kim, Heon-Gyu Kwak, Byoung-Hee Kwon, Seong-Whan Lee 2026-03-19T20:04:24Z 置信度 0.70
• Channel Discriminability Analysis via Task-Related Projection Weights in Motor Intention Decoding
  Electroencephalogram (EEG)-based motor intention decoding is essential for brain-computer interface (BCI) systems, yet high-dimensional channel data introduces substantial redundancy that obscures discriminative information and increases computational complexi…
  crossref Jingyu Ma, Hao Jia 2026-03-19T20:04:24Z 置信度 0.70
• Low-Cost Brain-Computer Interface for Stress Detection: A Feasibility Study Using EEG and ML.NET
  crossref Rafal Chalupnik, Katarzyna Bialas, Bartosz Perz, Mariusz Pelc 等 2026-08-24T19:17:21Z 置信度 0.70
• International and National Dimensions in Ethics and Regulation of BMI/Neurotechnology
  Neurotechnology has the potential to provide high-performance products and services to humans, with its miniaturization and minimally invasiveness of devices, coupled with the development of artificial intelligence (AI) for processing, analyzing, and generatin…
  crossref Sung-Jin Jeong, Mitsuaki Takemi, Jeong-Woo Sohn, Tamami Fukushi 2026-03-19T20:04:24Z 置信度 0.70
• Virtual Reality-Assisted Building Fire Evacuation Training Using Digital Twin and Brain Computer Interface Devices
  crossref Sharad Sharma, Pretom Roy Ovi, Johannas Meela Katikala 2026-07-02T19:59:33Z 置信度 0.70
• Why Go Heavy? Rethinking Visual Information Reduction in EEG-to-Image Alignment
  crossref Sangmin Jo, Adrián Ayuso-Muñoz, Wootaek Jeong, Heung-Il Suk 2026-03-19T20:04:24Z 置信度 0.70
• A Comparison of Different Algorithms for Suppressing the Stimulus Artifacts Used in Closed-Loop Brain-Computer Interface
  crossref Yirui Liu, Xiao Liu 2026-06-22T19:52:47Z 置信度 0.70
• Neurophysiological Characteristics of Adaptive Reasoning for Creative Problem-Solving Strategy
  Adaptive reasoning enables humans to flexibly adjust inference strategies when environmental rules or contexts change, yet its underlying neural dynamics remain unclear. This study investigated the neurophysiological mechanisms of adaptive reasoning using a ca…
  crossref Jun-Young Kim, Young-Seok Kweon, Gi-Hwan Shin, Seong-Whan Lee 2026-03-19T20:04:24Z 置信度 0.70
• Multi-Task EEGNet-TCN Decoder of Motor Imagery and Cognitive State in Motor Imagery BCI
  Motor imagery brain-computer interfaces (MI-BCI) show large inter- and intra-subject variability, which is often attributed to non-stationary cognitive states such as fatigue or attention. In this study, we revisit the OpenBMI motor imagery dataset, which cont…
  crossref Da-Hyeon Sim, Won-Sik Oh, Dong-Hwa Jeong 2026-03-19T20:04:24Z 置信度 0.70
• Training the Motor Cortex by Observing the Actions of Others During Immobilization
  Limb immobilization and nonuse are well-known causes of corticomotor depression. While physical training can drive the recovery from nonuse-dependent corticomotor effects, it remains unclear if it is possible to gain access to motor cortex in alternative ways,…
  openalex Michela Bassolino, Martina Campanella, Marco Bove, Thierry Pozzo 等 2013-07-29 置信度 0.72 Transcranial magnetic stimulationMotor cortexFacilitationNeuroplasticityPsychology
• The Swedish MS registry – clinical support tool and scientific resource
  The Swedish MS registry (SMSreg) is designed to assure quality health care for patients with multiple sclerosis (MS). It has been active since 2001 and web-based since 2004. It runs on government funding only and is used in all Swedish neurology departments. T…
  openalex Jan Hillert, Leszek Stawiarz 2015-06-05 置信度 0.72 Resource (disambiguation)MedicineComputer scienceComputer network
• Functional neurological restoration of amputated peripheral nerve using biohybrid regenerative bioelectronics
  The development of neural interfaces with superior biocompatibility and improved tissue integration is vital for treating and restoring neurological functions in the nervous system. A critical factor is to increase the resolution for mapping neuronal inputs on…
  openalex Amy E. Rochford, Alejandro Carnicer‐Lombarte, Malak Kawan, Amy Jin 等 2023-03-22 置信度 0.72 BioelectronicsNeuroprostheticsInduced pluripotent stem cellRegenerative medicineNeuroscience
• Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research
  This survey presents a comprehensive review of current literature on Explainable Artificial Intelligence (XAI) methods for cyber security applications. Due to the rapid development of Internet-connected systems and Artificial Intelligence in recent years, Arti…
  openalex Zhibo Zhang, Hussam Al Hamadi, Ernesto Damiani, Chan Yeob Yeun 等 2022-01-01 置信度 0.72 Computer scienceComputer securityState (computer science)Artificial intelligenceData science
• The N‐glycan profile in cortex and hippocampus is altered in Alzheimer disease
  Protein glycosylation is crucial for the central nervous system and brain functions, including processes that are defective in Alzheimer disease (AD) such as neurogenesis, synaptic function, and memory formation. Still, the roles of glycans in the development …
  openalex Stefan Gaunitz, Lars O. Tjernberg, Sophia Schedin‐Weiss 2020-09-28 置信度 0.72 HippocampusNeuroscienceAlzheimer's diseaseDiseaseGlycan
• Predominance of Movement Speed Over Direction in Neuronal Population Signals of Motor Cortex: Intracranial EEG Data and A Simple Explanatory Model
  How neuronal activity of motor cortex is related to movement is a central topic in motor neuroscience. Motor-cortical single neurons are more closely related to hand movement velocity than speed, that is, the magnitude of the (directional) velocity vector. Rec…
  openalex Jiří Hammer, Tobias Pistohl, Jörg Fischer, Pavel Kršek 等 2016-03-16 置信度 0.72 NeurosciencePopulationMotor cortexFunctional magnetic resonance imagingPrimary motor cortex
• Gene Ontology curation of the blood–brain barrier to improve the analysis of Alzheimer’s and other neurological diseases
  The role of the blood-brain barrier (BBB) in Alzheimer's and other neurodegenerative diseases is still the subject of many studies. However, those studies using high-throughput methods have been compromised by the lack of Gene Ontology (GO) annotations describ…
  openalex Shirin C C Saverimuttu, Barbara Kramarz, M. Rodríguez-López, Penelope Garmiri 等 2021-10-01 置信度 0.72 AnnotationGene ontologyOntologyComputer scienceFunction (biology)
• Skin cancer detection using non-invasive techniques
  Skin cancer is the most common form of cancer and is globally rising. Historically, the diagnosis of skin cancers has depended on various conventional techniques which are of an invasive manner. A variety of commercial diagnostic tools and auxiliary techniques…
  openalex Vigneswaran Narayanamurthy, P. Padmapriya, A. Noorasafrin, B. Pooja 等 2018-01-01 置信度 0.72 Multispectral imageSkin cancerOptical coherence tomographyMedicineCancer detection
• Contributions of descending and ascending pathways to corticomuscular coherence in humans
  Corticomuscular coherence in the beta frequency band (15–30 Hz) has been demonstrated in both humans and monkeys, but its origin and functional role are still unclear. Phase–frequency plots produced by traditional coherence analysis are often complex. Some sub…
  openalex Claire L. Witham, C. Nicholas Riddle, Mark R. Baker, Stuart N. Baker 2011-05-30 置信度 0.72 Coherence (philosophical gambling strategy)NeuroscienceMotor cortexSensory systemCortex (anatomy)
• Identifying miRNAs, targets and functions
  microRNAs (miRNAs) are small endogenous non-coding RNAs that function as the universal specificity factors in post-transcriptional gene silencing. Discovering miRNAs, identifying their targets and further inferring miRNA functions have been a critical strategy…
  openalex B. Liu, Jiuyong Li, Murray J. Cairns 2012-11-22 置信度 0.72 microRNAComputational biologyGene silencingAnnotationBiology
• [Retracted] Human‐Computer Interaction Using Manual Hand Gestures in Real Time
  This paper describes the construction of an electronic system that can recognise twelve manual motions made by an interlocutor with one of their hands in a situation with regulated lighting and background in real time. Hand rotations, translations, and scale c…
  openalex Mohammad Alsaffar, Abdullah Alshammari, Gharbi Alshammari, Tariq S. Almurayziq 等 2021-01-01 置信度 0.72 GestureComputer scienceToolboxHuman–computer interactionProcess (computing)
• A Perspective on Explanations of Molecular Prediction Models
  Chemists can be skeptical in using deep learning (DL) in decision making, due to the lack of interpretability in "black-box" models. Explainable artificial intelligence (XAI) is a branch of artificial intelligence (AI) which addresses this drawback by providin…
  openalex Geemi P. Wellawatte, Heta A. Gandhi, Aditi Seshadri, Andrew Dickson White 2023-03-27 置信度 0.72 Perspective (graphical)Computer scienceData scienceComputational biologyArtificial intelligence
• MyoGestic: EMG interfacing framework for decoding multiple spared motor dimensions in individuals with neural lesions
  Restoring motor function in individuals with spinal cord injuries (SCIs), strokes, or amputations is a crucial challenge. Recent studies show that spared motor neurons can still be voluntarily controlled using surface electromyography (EMG), even without visib…
  openalex Raul Sîmpetru, Dominik I. Braun, Allen Simon, Michael März 等 2025-04-09 置信度 0.72 Computer scienceBrain–computer interfaceInterfacingNeural ProsthesisElectromyography
• Volume and number of neurons of the human hippocampal formation in normal aging and Alzheimer's disease
  In order to observe changes owing to aging and Alzheimer's disease (AD) in the volumes of subdivisions of the hippocampus and the number of neurons of the hippocampal formation, 18 normal brains from subjects who died of nonneurological causes and had no histo…
  openalex Goran imi, Ivica Kostovi, Bengt Winblad, Nenad Bogdanovi 1997-03-24 置信度 0.72 Fascia dentataSubiculumStereologyHippocampal formationCresyl violet
• Taking inspiration from nature is a no-brainer
  The hierarchical structure and function of the brain offer a source of inspiration for the development of intelligent robots.
  openalex Amos Matsiko 2023-05-31 置信度 0.72 Cognitive scienceFunction (biology)Brain functionRobotComputer science
• A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities
  Administrative and medical processes of the healthcare organizations are rapidly changing because of the use of artificial intelligence (AI) systems. This change demonstrates the critical impact of AI at multiple activities, particularly in medical processes r…
  openalex Omar Ali, Wiem Abdelbaki, Anup Shrestha, Ersin Elbaşı 等 2023-01-01 置信度 0.72 Health careSystematic reviewComputer scienceManagement scienceEngineering
• Smart grid technologies and application in the sustainable energy transition: a review
  The smart grid is a product of the advances in computer and communication technology and power electronics that creates a more resilient, reliable and one that supports a two-way flow of electricity and information.The smart grid enables more uptake of the var…
  openalex Moses Jeremiah Barasa Kabeyi, Oludolapo Akanni Olanrewaju 2023-09-07 置信度 0.72 Smart gridRenewable energyVariable renewable energySoftware deploymentGrid
• A virtual reality test battery for assessment and screening of spatial neglect
  BACKGROUND: There is a need for improved screening methods for spatial neglect. AIM: To construct a VR-test battery and evaluate its accuracy and usability in patients with acute stroke. METHOD: VR-DiSTRO consists of a standard desktop computer, a CRT monitor …
  openalex Helena Fordell, Kenneth Bodin, Göran Bucht, Jan Malm 2010-06-22 置信度 0.72 UsabilityNeglectTest (biology)Virtual realityPsychology
• Biomarkers of Cardiovascular Disease
  C ardiovascular diseases (CVD) are the leading cause of morbidity and mortality in the United States. Subclinical disease culminates in overt CVD. The onset of CVD itself portends an adverse prognosis with greater risk of recurrent events, morbidity, and morta…
  openalex Ramachandran S. Vasan 2006-05-15 置信度 0.72 MedicineDiseaseIntensive care medicineInternal medicine
• How time-flexible work policies can reduce stress, improve health, and save money
  Data from the US National Study of the Changing Workforce (a nationally representative sample of working adults) were used to test the hypothesis that employees with time-flexible work policies reported less stress, higher levels of commitment to their employe…
  openalex Diane F. Halpern 2005-01-01 置信度 0.72 Work (physics)WorkforceTest (biology)BusinessFamily-friendly
• Prediction of exhaled carbon dioxide concentration using a computer‐simulated person that included alveolar gas exchange
  Accurate prediction of inhaled CO2 concentration and alveolar gas exchange efficiency would improve the prediction of CO2 concentrations around the human body, which is essential for advanced ventilation design in buildings. We therefore, developed a computer-…
  openalex Kazuki Kuga, Mitsuharu Sakamoto, Pawel Wargocki, Kazuhide Ito 2022-08-01 置信度 0.72 Carbon dioxideVentilation (architecture)Tidal volumeVolume (thermodynamics)Environmental science
• Rewiring Droplet Interface Synapses
  Neuromorphic (or brain‐inspired) materials take inspiration from the adaptive architecture of the brain in developing novel materials that exhibit a form of memory through evolving properties. These neuromorphic materials are currently being explored as altern…
  openalex Sarita Shrestha, Eric C. Freeman 2026-01-28 置信度 0.72 Neuromorphic engineeringMembraneInterface (matter)NanotechnologyLipid bilayer
• Early Education for Spatial Intelligence: Why, What, and How
  Spatial representation and thinking have evolutionary importance for any mobile organism. In addition, they help reasoning in domains that are not obviously spatial, for example, through the use of graphs and diagrams. This article reviews the literature sugge…
  openalex Nora S. Newcombe, Andrea Frick 2010-08-05 置信度 0.72 Spatial intelligenceSocioeconomic statusRepresentation (politics)Spatial abilityPsychology
• Editing reality in the brain
  Recent information technologies such as virtual reality (VR) and augmented reality (AR) allow the creation of simulated sensory worlds with which we can interact. Using programming language, digital details can be overlaid onto displays of our environment, con…
  openalex Eamonn Walsh, David A. Oakley 2022-07-01 置信度 0.72 Computer sciencePsychologyCognitive science
• Predictions not commands: active inference in the motor system
  The descending projections from motor cortex share many features with top-down or backward connections in visual cortex; for example, corticospinal projections originate in infragranular layers, are highly divergent and (along with descending cortico-cortical …
  openalex Rick A. Adams, Stewart Shipp, Karl Friston 2012-11-05 置信度 0.72 NeuroscienceMotor systemInferenceMotor cortexSensory system
• Inferring Mental States from Brain Data: Ethico‐legal Questions about Social Uses of Brain Data
  Neurotechnologies that collect and interpret data about brain activity are already in use for medical and nonmedical applications. Refinements of existing noninvasive techniques and the discovery of new ones will likely encourage broader uptake. The increased …
  openalex Jennifer A. Chandler 2025-01-01 置信度 0.72 Mental stateInferenceBrain activity and meditationState (computer science)Psychology
• Deep learning with multimodal representation for pancancer prognosis prediction
  MOTIVATION: Estimating the future course of patients with cancer lesions is invaluable to physicians; however, current clinical methods fail to effectively use the vast amount of multimodal data that is available for cancer patients. To tackle this problem, we…
  openalex Anika Cheerla, Olivier Gevaert 2019-05-09 置信度 0.72 Computer scienceArtificial intelligenceConvolutional neural networkDeep learningDropout (neural networks)
• The academic environment: the students’ perspective
  Dental education is regarded as a complex, demanding and often stressful pedagogical procedure. Undergraduates, while enrolled in programmes of 4-6 years duration, are required to attain a unique and diverse collection of competences. Despite the major differe…
  openalex Kimon Divaris, Patrick J. Barlow, S. A. Chendea, Wei-Fun Cheong 等 2008-02-01 置信度 0.72 StressorPerspective (graphical)Psychological interventionPsychologyMedical education
• The water content, apoptosis, and proliferation of the brain in marine medaka affected by seawater acidification
  Abstract A possible explanation for ocean acidification‐induced changes in fish behavior is a systemic effect on the nervous system. Three biological barriers at the blood–brain interface effectively separate the brain from the body fluids. It is not known whe…
  openalex Jinling Xie, Baolin Li, Tangjian Zhou, Xiaojie Wang 2024-07-31 置信度 0.72 SeawaterCerebrospinal fluidApoptosisBiologyFish <Actinopterygii>
• Incorporating the effect of white matter microstructure in the estimation of magnetic susceptibility in ex vivo mouse brain
  Abstract Purpose To extend quantitative susceptibility mapping to account for microstructure of white matter (WM) and demonstrate its effect on ex vivo mouse brain at 16.4T. Theory and Methods Previous studies have shown that the MRI measured Larmor frequency …
  openalex Anders Dyhr Sandgaard, Valerij G. Kiselev, Rafael Neto Henriques, Noam Shemesh 等 2023-09-29 置信度 0.72 Ex vivoWhite matterNuclear magnetic resonanceIn vivoMagnetic resonance imaging
• Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification
  Abstract Objective . Motor imagery (MI) electroencephalography (EEG) classification is regarded as a promising technology for brain–computer interface (BCI) systems, which help people to communicate with the outside world using neural activities. However, deco…
  openalex Xiuling Liu, Linyang Lv, Yonglong Shen, Peng Xiong 等 2021-01-04 置信度 0.72 Motor imageryElectroencephalographyComputer scienceArtificial intelligenceMulti-task learning
• The Fluidic Connectome in Brain Disease: Integrating Aquaporin-4 Polarity with Multisystem Pathways in Neurodegeneration
  The way in which Aquaporin-4 (AQP4) is localized on the astrocytes' surface-i.e., with AQP4 channels predominantly located on the endfeet of astrocytes near the blood vessels-represents an important structural element for maintaining brain fluid homeostasis. I…
  openalex Felix-Mircea Brehar, Daniel Ovidiu Costea, Călin Petru Tătaru, Mugurel Petrinel Rădoi 等 2025-11-28 置信度 0.72 NeuroscienceNeurodegenerationGlymphatic systemPolarity (international relations)Context (archaeology)
• A novel approach to the prevention and management of cardiovascular diseases: targeting brain–heart axis
  Epidemiological studies indicate that cardiovascular diseases are the leading cause of death and disability worldwide, imposing a significant socioeconomic burden. Despite continuous medical advancements and new preventive measures offering new prospects for t…
  openalex Zheng Rong, Chenchen Meng, Xinyi Li, Xinyi Li 等 2025-11-11 置信度 0.72 MedicineDiseaseNeuroscienceIntensive care medicineCardiovascular health
• EnrichNet: network-based gene set enrichment analysis
  MOTIVATION: Assessing functional associations between an experimentally derived gene or protein set of interest and a database of known gene/protein sets is a common task in the analysis of large-scale functional genomics data. For this purpose, a frequently u…
  openalex Enrico Glaab, Anaı̈s Baudot, Natalio Krasnogor, Reinhard Schneider 等 2012-09-03 置信度 0.72 Computer scienceSet (abstract data type)Gene regulatory networkComputational biologyRepresentation (politics)
• Beyond Dyadic Coordination: Multimodal Behavioral Irregularity in Triads Predicts Facets of Collaborative Problem Solving
  We hypothesize that effective collaboration is facilitated when individuals and environmental components form a synergy where they work together and regulate one another to produce stable patterns of behavior, or regularity, as well as adaptively reorganize to…
  openalex Mary Jean Amon, Hana Vrzáková, Sidney K. D’Mello 2019-10-01 置信度 0.72 Similarity (geometry)Task (project management)Interpersonal communicationComputer scienceNegotiation
• Happy emotion cognition of bimodal audiovisual stimuli optimizes the performance of the P300 speller
  OBJECTIVE: Prior studies of emotional cognition have found that emotion-based bimodal face and voice stimuli can elicit larger event-related potential (ERP) amplitudes and enhance neural responses compared with visual-only emotional face stimuli. Recent studie…
  openalex Zhaohua Lu, Qi Li, Ning Gao, Jingjing Yang 等 2019-11-15 置信度 0.72 SpellingBrain–computer interfaceP600CognitionEvent-related potential
• A Review on Design of Upper Limb Exoskeletons
  Exoskeleton robotics has ushered in a new era of modern neuromuscular rehabilitation engineering and assistive technology research. The technology promises to improve the upper-limb functionalities required for performing activities of daily living. The exoske…
  openalex Muhammad Ahsan Gull, Shaoping Bai, Thomas Bak 2020-03-17 置信度 0.72 ExoskeletonMechatronicsModalitiesRoboticsEngineering
• Advancing Brain Organoid Electrophysiology: Minimally Invasive Technologies for Comprehensive Characterization
  Abstract Human brain organoids, which originate from pluripotent stem cells, serve as valuable tools for a wide range of research endeavors, replicating brain function. Their capacity to replicate cellular interactions, morphology, and division provides invalu…
  openalex Mujeeb Yousuf, Jean‐Christophe Rochet, Pushpapraj Singh, Muhammad M. Hussain 2025-01-08 置信度 0.72 OrganoidNeuroscienceElectrophysiologyComputer scienceMedicine
• Provider Perspectives of Facilitators and Barriers to Reaching and Utilizing Chronic Pain Healthcare for Persons With Traumatic Brain Injury: A Qualitative NIDILRR and VA TBI Model Systems Collaborative Project
  OBJECTIVE: To identify facilitators and barriers to reaching and utilizing chronic pain treatments for persons with traumatic brain injury (TBI) organized around an Access to Care framework, which includes dimensions of access to healthcare as a function of su…
  openalex Risa Nakase‐Richardson, Bridget A. Cotner, Aaron M. Martin, Stephanie Agtarap 等 2024-01-01 置信度 0.72 Thematic analysisHealth careQualitative researchPopulationMedicine
• Graph convolutional networks for computational drug development and discovery
  Despite the fact that deep learning has achieved remarkable success in various domains over the past decade, its application in molecular informatics and drug discovery is still limited. Recent advances in adapting deep architectures to structured data have op…
  openalex Mengying Sun, Sendong Zhao, Coryandar Gilvary, Olivier Elemento 等 2019-03-18 置信度 0.72 Computer scienceDrug discoveryGraphInformaticsData science
• Recent developments in microwire‐structured intracortical electrode arrays for brain–machine interfaces
  Abstract Brain–machine interfaces (BMIs) have experienced remarkable advancements in recent years, marked by multiple companies initiating human trials. Consequently, the interface between the brain and electrodes has become more critical than ever, requiring …
  openalex Sorel E. De León, Simon Higham, Young Jun Jung, Wei Tong 等 2024-12-20 置信度 0.72 ElectrodeComputer scienceHuman–computer interactionMaterials scienceChemistry
• Smart E-Textiles: Overview of Components and Outlook
  Smart textiles have gained great interest from academia and industries alike, spanning interdisciplinary efforts from materials science, electrical engineering, art, design, and computer science. While recent innovation has been promising, unmet needs between …
  openalex Rebecca Ruckdashel, Ninad Khadse, Jay Hoon Park 2022-08-13 置信度 0.72 EngineeringSystems engineeringArchitectural engineering
• Influence of boundary removal on the spatial representations of the medial entorhinal cortex
  The medial entorhinal cortex (MEC) is thought to create and update a dynamical representation of the animal's spatial location. Most suggestive of this process are grid cells, whose firing locations occur periodically in space. Prior studies in small environme…
  openalex Francesco Savelli, D. Yoganarasimha, James Knierim 2008-11-19 置信度 0.72 Grid cellEntorhinal cortexHippocampal formationHippocampusPlace cell
• The Cross‐linguistic Study of Sentence Production
  Abstract The mechanisms underlying language production are often assumed to be universal, and hence not contingent on a speaker's language. This assumption is problematic for at least two reasons. Given the typological diversity of the world's languages, only …
  openalex T. Florian Jaeger, Elisabeth Norcliffe 2009-07-01 置信度 0.72 LinguisticsSentenceProduction (economics)Set (abstract data type)Computer science
• Polyglutamine expansion in huntingtin alters its interaction with phospholipids
  Huntingtin has an expanded polyglutamine tract in patients with Huntington's disease. Huntingtin localizes to intracellular and plasma membranes but the function of huntingtin at membranes is unknown. Previously we reported that exogenously expressed huntingti…
  openalex Kimberly B. Kegel, Ellen Sapp, J. Steven Alexander, Antonio Valencia 等 2009-06-29 置信度 0.72 HuntingtinChemistryNeuroscienceBiologyCell biology
• A Novel Smart Depression Recognition Method Using Human‐Computer Interaction System
  In recent years, depression not only makes patients suffer from psychological pain such as self‐blame but also has a high disability mortality rate. Early detection and diagnosis of depression and timely treatment of patients with different levels can improve …
  openalex Lijun Xu, Jianjun Hou, Jun Gao 2021-01-01 置信度 0.72 Computer scienceHuman–computer interactionArtificial intelligencePattern recognition (psychology)Machine learning
• A Tongue‐Computer Tactile Interface Mediated by the Magnetoelectric‐Driven Tribovoltaic Sensors
  ABSTRACT Current human‐computer interaction (HCI) technologies often suffer from wearing discomfort, noise sensitivity, user fatigue, and privacy concerns, particularly for users with physical disabilities or those requiring high‐precision control. In this stu…
  openalex Jiarui Zhao, Chuyu Tang, Meihua Zhou, Dehai Yu 等 2026-02-05 置信度 0.72 WheelchairInterface (matter)Materials scienceTactile sensorHuman–computer interaction
• Symbolically speaking: a connectionist model of sentence production
  Abstract The ability to combine words into novel sentences has been used to argue that humans have symbolic language production abilities. Critiques of connectionist models of language often center on the inability of these models to generalize symbolically (F…
  openalex Franklin Chang 2002-09-01 置信度 0.72 ConnectionismComputer scienceSentenceSyntaxDual (grammatical number)
• A Sonomyography-based Muscle Computer Interface for Individuals with Spinal Cord Injury
  Impairment of hand functions in individuals with spinal cord injury (SCI) severely disrupts activities of daily living. Recent advances have enabled rehabilitation assisted by robotic devices to augment the residual function of the muscles. Traditionally, non-…
  openalex Manikandan Shenbagam, Anne Tryphosa Kamatham, Priyanka Vijay, Suman Salimath 等 2023-08-02 置信度 0.72 Spinal cord injuryElectromyographyPhysical medicine and rehabilitationRehabilitationComputer science
• Conversational and generative artificial intelligence and human–chatbot interaction in education and research
  Abstract Artificial intelligence (AI) as a disruptive technology is not new. However, its recent evolution, engineered by technological transformation, big data analytics, and quantum computing, produces conversational and generative AI (CGAI/GenAI) and human‐…
  openalex Ikpe Justice Akpan, Yawo Mamoua Kobara, Josiah Owolabi, Asuama A. Akpan 等 2024-07-31 置信度 0.72 ChatbotGenerative grammarComputer scienceArtificial intelligenceCognitive science
• The 2026 guided acoustic waves roadmap
  Guided elastic waves are a truly cross-disciplinary key enabling technology. For more than five decades, surface acoustic wave (SAW) and bulk acoustic wave devices find widespread applications. Nowadays, different types of guided elastic waves cover the wide s…
  openalex Hubert J. Krenner, P. V. Santos, Christoph Westerhausen, Gustav Andersson 等 2026-03-02 置信度 0.72 AcousticsPhysicsAcoustic waveSnapshot (computer storage)Surface acoustic wave
• Deep brain state classification of MEG data
  Neuroimaging techniques have shown to be useful when studying the brain's activity. This paper uses Magnetoencephalography (MEG) data, provided by the Human Connectome Project (HCP), in combination with various deep artificial neural network models to perform …
  openalex Ismail Alaoui Abdellaoui, Jesús García Fernández, Caner Sahinli, Siamak Mehrkanoon 2020-07-02 置信度 0.72 MagnetoencephalographyComputer scienceHuman Connectome ProjectArtificial intelligenceConvolutional neural network
• Individual differences in self-reported self-control predict successful emotion regulation
  Both self-control and emotion regulation enable individuals to adapt to external circumstances and social contexts, and both are assumed to rely on the overlapping neural resources. Here, we tested whether high self-reported self-control is related to successf…
  openalex Lena M. Paschke, Denise Dörfel, Rosa Steimke, Ima Trempler 等 2016-03-24 置信度 0.72 AmygdalaPsychologySelf-controlFunctional magnetic resonance imagingTrait
• Geometric deep learning on brain shape predicts sex and age
  Abstract The complex relationship between the shape and function of the human brain remains elusive despite extensive studies of cortical folding over many decades. The analysis of cortical gyrification presents an opportunity to advance our knowledge about th…
  openalex Pierre Besson, Todd B. Parrish, Aggelos K. Katsaggelos, S. Kathleen Bandt 2020-06-29 置信度 0.72 GyrificationArtificial intelligenceFolding (DSP implementation)Convolutional neural networkComputer science
• Artificial intelligence in oncology
  Artificial intelligence (AI) has contributed substantially to the resolution of a variety of biomedical problems, including cancer, over the past decade. Deep learning, a subfield of AI that is highly flexible and supports automatic feature extraction, is incr…
  openalex Hideyuki Shimizu, Keiichi I. Nakayama 2020-03-05 置信度 0.72 MedicineMedical physicsOncologyInternal medicine
• A Survey on Yogic Posture Recognition
  Yoga has been a great form of physical activity and one of the promising applications in personal health care. Several studies prove that yoga is used as one of the physical treatments for cancer, musculoskeletal disorder, depression, Parkinson’s disease, and …
  openalex Arun Kumar Rajendran, Sibi Chakkaravarthy Sethuraman 2023-01-01 置信度 0.72 Flexibility (engineering)Physical medicine and rehabilitationPhysical therapyBiomechanicsMedicine
• Brainprint based on functional connectivity and asymmetry indices of brain regions: A case study of biometric person identification with non‐expensive electroencephalogram headsets
  Abstract Brain‐computer interface applications for biometric person identification have increased their interest in recent years since they are potentially more secure and more difficult to counterfeit than traditional biometric techniques. However, it is nece…
  openalex Jordan Ortega‐Rodríguez, Kevin Martín‐Chinea, José Francisco Gómez‐González, Ernesto Pereda 2023-04-17 置信度 0.72 Computer scienceBiometricsIdentification (biology)ElectroencephalographyBiosignal
• Electromyography‐based seizure detector: Preliminary results comparing a generalized tonic–clonic seizure detection algorithm to video‐ EEG recordings
  OBJECTIVE: Automatic detection of generalized tonic-clonic seizures (GTCS) will facilitate patient monitoring and early intervention to prevent comorbidities, recurrent seizures, or death. Brain Sentinel (San Antonio, Texas, USA) developed a seizure-detection …
  openalex C. Ákos Szabó, Lola Morgan, Kameel M. Karkar, Linda Leary 等 2015-07-20 置信度 0.72 ElectroencephalographyElectromyographyBicepsEpilepsyTonic (physiology)
• Instrumental learning and cognitive flexibility processes are impaired in children exposed to early life stress
  Children who experience severe early life stress show persistent deficits in many aspects of cognitive and social adaptation. Early stress might be associated with these broad changes in functioning because it impairs general learning mechanisms. To explore th…
  openalex Madeline B. Harms, Katherine E. Shannon Bowen, Jamie L. Hanson, Seth D. Pollak 2017-10-19 置信度 0.72 PsychologyCognitive flexibilityDevelopmental psychologyCognitionFlexibility (engineering)
• Glycosciences.DB: an annotated data collection linking glycomics and proteomics data (2018 update)
  Glycosciences.DB, the glycan structure database of the Glycosciences.de portal, collects various kinds of data on glycan structures, including carbohydrate moieties from worldwide Protein Data Bank (wwPDB) structures. This way it forms a bridge between glycomi…
  openalex Michael Böhm, Andreas Bohne-Lang, Martin Frank, Alexander Loß 等 2018-10-12 置信度 0.72 GlycomicsGlycanBiologyProteomicsComputer science
• Facile Synthesis of Uniform Virus-like Mesoporous Silica Nanoparticles for Enhanced Cellular Internalization
  High Resolution Image Download MS PowerPoint Slide The low-efficiency cellular uptake property of current nanoparticles greatly restricts their application in the biomedical field. Herein, we demonstrate that novel virus-like mesoporous silica nanoparticles ca…
  openalex Wenxing Wang, Peiyuan Wang, Xueting Tang, Ahmed A. Elzatahry 等 2017-07-26 置信度 0.72 NanoparticleMaterials scienceMesoporous silicaNanotechnologyMesoporous material
• Hierarchical Surface Restructuring of Ultra‐Thin Electrodes and Microelectrode Arrays for Neural Interfacing with Peripheral and Central Nervous Systems
  Abstract Long‐term implantable neural interfacing devices are crucial in neurostimulation for treating various neurological disorders. These devices rely heavily on electrodes and microelectrode arrays. As the invasiveness of these electrodes increases—particu…
  openalex Alexander Blagojevic, Wesley Seche, Hongbin Choi, Skyler L. Davis 等 2024-07-19 置信度 0.72 InterfacingMicroelectrodeMaterials scienceElectrodePeripheral
• Cognitive and Perceptual Differences Between Schizophrenics and Organics
  Distinguishing between brain-damaged and schizophrenic patients remains a significant clinical problem. However, substantive and methodological difficulties have led to discouragement and consequent loss of interest in this area of differential diagnosis. Seve…
  openalex Gérald Goldstein 1978-01-01 置信度 0.72 PsychologySchizophrenia (object-oriented programming)CognitionNeuropsychologySet (abstract data type)
• The Metaverse as a Virtual Form of Smart Cities: Opportunities and Challenges for Environmental, Economic, and Social Sustainability in Urban Futures
  Data infrastructures, economic processes, and governance models of digital platforms are increasingly pervading urban sectors and spheres of urban life. This phenomenon is known as platformization, which has in turn given rise to the phenomena of platform soci…
  openalex Zaheer Allam, Ayyoob Sharifi, Simon Elias Bibri, David S. Jones 等 2022-07-08 置信度 0.72 MetaverseSustainabilitySmart citySociologyComputer science
• Daily variation in the electrophysiological activity of mouse medial habenula neurones
  Key points Neurones of the suprachiasmatic nucleus (SCN) contain a molecular clock that drives these cells to exhibit daily rhythms in electrical activity. The molecular clock may also be present in another brain structure, the medial habenula, and here we tes…
  openalex Kanwal Sakhi, Mino D. C. Belle, Nicole Gossan, Philippe Delagrange 等 2013-11-18 置信度 0.72 ElectrophysiologyHabenulaNeuroscienceVariation (astronomy)Anatomy
• Brain oscillations in reflecting motor status and recovery induced by action observation-driven robotic hand intervention in chronic stroke
  Hand rehabilitation in chronic stroke remains challenging, and finding markers that could reflect motor function would help to understand and evaluate the therapy and recovery. The present study explored whether brain oscillations in different electroencephalo…
  openalex Zan Yue, Peng Xiao, Jing Wang, Raymond Kai‐Yu Tong 2023-12-10 置信度 0.72 ElectroencephalographyPhysical medicine and rehabilitationRehabilitationBrain–computer interfaceBeta Rhythm
• A retrospective evaluation of automated optimization of deep brain stimulation parameters
  Abstract Objective We performed a retrospective analysis of an optimization algorithm for the computation of patient-specific multipolar stimulation configurations employing multiple independent current/voltage sources. We evaluated whether the obtained stimul…
  openalex Johannes Vorwerk, Andrea A. Brock, Daria Nesterovich Anderson, John D. Rolston 等 2018-08-17 置信度 0.72 StimulationComputationDeep brain stimulationComputer scienceLead (geology)
• Annexins: multifunctional components of growth and adaptation
  Plant annexins are ubiquitous, soluble proteins capable of Ca(2+)-dependent and Ca(2+)-independent binding to endomembranes and the plasma membrane. Some members of this multigene family are capable of binding to F-actin, hydrolysing ATP and GTP, acting as per…
  openalex Jennifer C. Mortimer, Anuphon Laohavisit, Neil Macpherson, Alex Webb 等 2008-02-01 置信度 0.72 Cell biologyEffectorCytosolBiologyGTP'
• Constant pressure fluid infusion into rat neocortex from implantable microfluidic devices
  Implantable electrode arrays capable of recording and stimulating neural activity with high spatial and temporal resolution will provide a foundation for future brain computer interface technology. Currently, their clinical impact has been curtailed by a gener…
  openalex Scott T. Retterer, Karen L. Smith, Chris S. Bjornsson, James N. Turner 等 2008-09-30 置信度 0.72 Biomedical engineeringMicrofluidicsPropidium iodideFluorescenceMaterials science
• Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook
  The deep learning (DL) revolution is touching all scientific disciplines and corners of our lives as a means of harnessing the power of big data. Marine ecology is no exception. New methods provide analysis of data from sensors, cameras, and acoustic recorders…
  openalex Morten Goodwin, Kim Tallaksen Halvorsen, Jiao, Lei, Kristian Muri Knausgård 等 2022-03-10 置信度 0.72 Field (mathematics)Data scienceComputer scienceMarine ecosystemCitizen science
• A Computer Vision Sensor for AI‐Accelerated Detection and Tracking of Occluded Objects
  A prominent problem in computer vision is occlusion, which occurs when an object's key features temporarily disappear behind another crossing body, causing the computer to struggle with image detection. While the human brain is capable of compensating for the …
  openalex Can Cuhadar, Hoi Nok Tsao 2022-10-13 置信度 0.72 Computer visionComputer scienceArtificial intelligenceTracking (education)Sight
• Translational perspectives on brain-heart interplay: From methodologies to clinical applications
  The nervous and cardiovascular systems are intricately interconnected in both healthy and diseased conditions. The field of Neurocardiology, which focuses on the complex interaction between the nervous and cardiovascular systems, has grown rapidly over the pas…
  openalex Matteo Saibene, Ying Gu, Martin Ballegaard, T Andersen 等 2026-02-05 置信度 0.72 NeuroscienceAutonomic nervous systemModalitiesMedicineBiomarker
• Multi-receptor skin with highly sensitive tele-perception somatosensory
  The limitations and complexity of traditional noncontact sensors in terms of sensitivity and threshold settings pose great challenges to extend the traditional five human senses. Here, we propose tele-perception to enhance human perception and cognition beyond…
  openalex Yan Du, Penghui Shen, Houfang Liu, Yuyang Zhang 等 2024-09-11 置信度 0.72 Computer scienceConvolutional neural networkNeuromorphic engineeringArtificial intelligenceSensitivity (control systems)
• The use of brain-machine interface, motor imagery, and action observation in the rehabilitation of individuals with Parkinson’s disease: A protocol study for a randomized clinical trial
  BACKGROUND: Parkinson's disease (PD) is a neurodegenerative condition that impacts motor planning and control of the upper limbs (UL) and leads to cognitive impairments. Rehabilitation approaches, including motor imagery (MI) and action observation (AO), along…
  openalex Kátine Marchezan Estivalet, Tatiana Salayaran de Aguiar Pettenuzzo, Natália Lopes Mazzilli, Luís Fernando Ferreira 等 2025-04-07 置信度 0.72 Physical medicine and rehabilitationRehabilitationRandomized controlled trialPhysical therapyMedicine
• The Human Dynamic Clamp Reveals the Fronto-Parietal Network Linking Real-Time Social Coordination and Cognition
  How does the brain allow us to interact with others? Social neuroscience has already provided some answers to these questions but has tended to treat high-level, cognitive interpretations of social behavior separately from the sensorimotor mechanisms upon whic…
  openalex Guillaume Dumas, Quentin Moreau, Emmanuelle Tognoli, J. A. Scott Kelso 2019-11-21 置信度 0.72 CognitionCognitive psychologyPsychologyClampParietal lobe
• A 3D gut-brain-vascular platform for bidirectional crosstalk in gut-neuropathogenesis
  A ‘gut-brain axis’ is an intricate bidirectional connection between the gut and the central nervous system, serving as a key pathway for signal exchange. However, current in vitro models do not fully capture these dynamic interactions, limiting mechanistic ins…
  openalex Minh Tran, Hoe Won Jeong, Minjoon An, Chaeyeon Been 等 2026-02-07 置信度 0.72 CrosstalkNeuroscienceLimitingNeuroinflammationBlood–brain barrier
• Artificial Intelligence in Oncology: Current Capabilities, Future Opportunities, and Ethical Considerations
  The promise of highly personalized oncology care using artificial intelligence (AI) technologies has been forecasted since the emergence of the field. Cumulative advances across the science are bringing this promise to realization, including refinement of mach…
  openalex Jacob Shreve, Sadia Khanani, Tufia C. Haddad 2022-06-10 置信度 0.72 InterpretabilityArtificial intelligenceComputer scienceBig dataPrecision medicine
• Inter‐brain synchrony is associated with greater shared identity within naturalistic conversational pairs
  Inter-brain synchrony occurs between individuals who feel connected socially, but how synchrony relates to felt connectedness under naturalistic social interaction has remained enigmatic. We hypothesized that inter-brain synchrony between naturally interacting…
  openalex Neal Hinvest, Chris Ashwin, Muhammad Hijazy, Felix Carter 等 2024-10-26 置信度 0.72 PsychologyIdentity (music)NaturalismCommunicationCognitive psychology
• The Mechanism of Mineralization and the Role of Alkaline Phosphatase in Health and Disease
  Biomineralization is the process by which hydroxyapatite is deposited in the extracellular matrix. Physiological mineralization occurs in hard tissues, whereas pathological calcification occurs in soft tissues. The first step of mineralization is the formation…
  openalex Hideo Orimo 2010-01-01 置信度 0.72 HypophosphatasiaAlkaline phosphataseChemistryExtracellular matrixBiochemistry
• 3D‐Printable, Honeycomb‐Inspired Tissue‐Like Bioelectrodes for Patient‐Specific Neural Interface
  The unique gyral patterns of the human brain demand patient-specific neural interfaces to achieve precise neuromodulation, mitigate adverse tissue responses, and optimize therapeutic efficacy and safety. One-size-fits-all, conventional rigid electrocorticograp…
  openalex Marzia Momin, Luyi Feng, Xiaoai Chen, Salahuddin Ahmed 等 2026-03-14 置信度 0.72 Materials scienceNeuromodulationBrain–computer interfaceBiomimeticsBiomedical engineering
• Healthcare in the Smart Home: A Study of Past, Present and Future
  Ubiquitous or Pervasive Computing is an increasingly used term throughout the technology industry and is beginning to enter the consumer electronics space in its most recent form under the umbrella term: “Internet of Things”. One area of focus is in augmenting…
  openalex Jamie R. Bennett, Osvaldas Rokas, Liming Chen 2017-05-17 置信度 0.72 Health careInternet privacyHome automationIntervention (counseling)Internet of Things
• Reward Prediction Error Coding in Dorsal Striatal Neurons
  In the current theory of learning, the reward prediction error (RPE), the difference between expected and received reward, is thought to be a key factor in reward-based learning, working as a teaching signal. The activity of dopamine neurons is known to code R…
  openalex Kei Oyama, István Hernádi, Toshio Iijima, Ken‐Ichiro Tsutsui 2010-08-25 置信度 0.72 NeuroscienceDopamineStriatumReward systemPsychology
• Missing in Action: Teacher and Health Worker Absence in Developing Countries
  In this paper, we report results from surveys in which enumerators made unannounced visits to primary schools and health clinics in Bangladesh, Ecuador, India, Indonesia, Peru and Uganda and recorded whether they found teachers and health workers in the facili…
  openalex Nazmul Chaudhury, Jeffrey S. Hammer, Michael Kremer, Karthik Muralidharan 等 2006-02-01 置信度 0.72 Developing countryAction (physics)Health workerMedicineEnvironmental health
• Research on the Teaching of Visual Communication Design Based on Digital Technology
  In the era of big data, the rapid development of information technology has made the sharing of data and information more free, bringing convenience to the public, but at the same time, the massive amount of data also brings “information anxiety.” In this pape…
  openalex Jianying Bian, Ying Ji 2021-01-01 置信度 0.72 Computer scienceMultimediaVisual communicationHuman–computer interaction
• Multi‐array silicon probes with integrated optical fibers: light‐assisted perturbation and recording of local neural circuits in the behaving animal
  Recordings of large neuronal ensembles and neural stimulation of high spatial and temporal precision are important requisites for studying the real-time dynamics of neural networks. Multiple-shank silicon probes enable large-scale monitoring of individual neur…
  openalex Sébastien Royer, Boris V. Zemelman, Mladen Barbic, Attila Losonczy 等 2010-06-01 置信度 0.72 Biological neural networkElectronic circuitComputer scienceNeuroscienceSilicon
• Metallic Biomaterials: Current Challenges and Opportunities
  Metallic biomaterials are engineered systems designed to provide internal support to biological tissues and they are being used largely in joint replacements, dental implants, orthopaedic fixations and stents. Higher biomaterial usage is associated with an inc…
  openalex Karthika Prasad, Olha Bazaka, Ming Hui Chua, Madison Rochford 等 2017-07-31 置信度 0.72 BiomaterialMaterials scienceFlexibility (engineering)ImplantNanotechnology
• Mechanisms of transcranial magnetic brain stimulation
  Transcranial magnetic stimulation (TMS) noninvasively activates the human cortex through the intact skull and is now employed worldwide to interrogate physiological and pathological functions of the human brain and to treat a variety of neurological and psychi…
  openalex Marcello Massimini, Angel V. Peterchev, Andreas Vlachos, Ulf Ziemann 2026-05-19 置信度 0.72 NeuroscienceTranscranial magnetic stimulationHuman brainNeurophysiologyLimiting
• MaDoPO: Magnetic Detection of Positions and Orientations of Segmented Deep Brain Stimulation Electrodes: A Radiation-Free Method Based on Magnetoencephalography
  BACKGROUND: Current approaches to detect the positions and orientations of directional deep brain stimulation (DBS) electrodes rely on radiative imaging data. In this study, we aim to present an improved version of a radiation-free method for magnetic detectio…
  openalex Mevlüt Yalaz, Nicholas Maling, Günther Deuschl, León M. Juárez-Paz 等 2022-01-08 置信度 0.72 MagnetoencephalographyElectrodeStimulationBiomedical engineeringNeuroscience
• The UCSC Genome Browser Database: update 2009
  The UCSC Genome Browser Database (GBD, http://genome.ucsc.edu) is a publicly available collection of genome assembly sequence data and integrated annotations for a large number of organisms, including extensive comparative-genomic resources. In the past year, …
  openalex Robert M. Kuhn, Donna Karolchik, Ann S. Zweig, T. Wang 等 2008-11-08 置信度 0.72 Genome browserGenomeBiologyEnsemblReference genome
• Epidermal Growth Factor Receptor Gene Expression in Estrogen Receptor-Positive and Negative Human Breast Cancer Cell Lines
  Expression of epidermal growth factor (EGF) receptor by human breast cancer tissues has an inverse relationship with expression of the estrogen receptor and may be associated with a poor clinical response. We have studied the regulation of EGF receptor express…
  openalex Nancy E. Davidson, Edward P. Gelmann, Marc E. Lippman, Robert B. Dickson 1987-03-01 置信度 0.72 BiologyEstrogen receptorEpidermal growth factorEstrogen receptor alphaEstrogen-related receptor alpha
• Drive in Sports: How Mental Fatigue Affects Endurance Performance
  Performance in endurance sports relies on athletes' drive, which is the sum of all factors pushing athletes to exert effort during exercise. Mental fatigue can influence endurance performance by decreasing athletes' drive to exercise. From a psychological poin…
  openalex Lieke Schiphof‐Godart, Bart Roelands, Florentina J. Hettinga 2018-08-17 置信度 0.72 Mental fatigueAthletesPsychologyAffect (linguistics)Task (project management)
• Optimized Feature Selection Techniques for Classifying Electrocorticography Signals
  The combination of hardware and software communication systems that consists of external devices or control computers that use cerebral activity is Brain-Computer Interface (BCI). BCI helps to communicate with severely impaired people who have been wholly para…
  openalex B. Paulchamy, R. Uma Maheshwari, D. Sudarvizhi AP, R. Anandkumar AP 等 2023-02-10 置信度 0.72 Brain–computer interfaceComputer scienceSupport vector machinePattern recognition (psychology)Discriminative model
• The Dry Revolution: Evaluation of Three Different EEG Dry Electrode Types in Terms of Signal Spectral Features, Mental States Classification and Usability
  One century after the first recording of human electroencephalographic (EEG) signals, EEG has become one of the most used neuroimaging techniques. The medical devices industry is now able to produce small and reliable EEG systems, enabling a wide variety of ap…
  openalex Gianluca Di Flumeri, Pietro Aricò, Gianluca Borghini, Nicolina Sciaraffa 等 2019-03-19 置信度 0.72 UsabilityElectroencephalographyContext (archaeology)ElectrodeSIGNAL (programming language)
• European children's use and understanding of generative AI: EU Kids Online 2026
  Over the past three decades, the internet and digital technologies have become deeply integrated in the everyday lives of children and young people across Europe. The EU Kids Online network (EUKO) has systematically studied these changes since 2006. This multi…
  openalex Elisabeth Staksrud, Giovanna Mascheroni, Tijana Milošević, Niamh Ni Bhroin 等 2026-02-09 置信度 0.72 CreativityThe InternetMultidisciplinary approachPublic relationsSociology
• All‐Optical‐Controlled Excitatory and Inhibitory Synaptic Signaling through Bipolar Photoresponse of an Oxide‐Based Phototransistor
  Abstract Using light signals for computation and communication is a vital approach for advanced neuromorphic designs. In this study, an all‐optical‐controlled IGZO/ZrOx phototransistor is demonstrated to emulate synaptic functions via both positive and negativ…
  openalex Yen‐Cheng Mi, Ching‐Hsiang Yang, Li‐Chung Shih, Jen‐Sue Chen 2023-04-11 置信度 0.72 Materials scienceNeuromorphic engineeringOptoelectronicsInhibitory postsynaptic potentialExcitatory postsynaptic potential
• Mice lacking Asic3 show reduced anxiety‐like behavior on the elevated plus maze and reduced aggression
  Sensing external stimulation is crucial for central processing in the brain and subsequent behavioral expression. Although sensory alteration or deprivation may result in behavioral changes, most studies related to the control of behavior have focused on centr…
  openalex Wanying Wu, Yi‐Wen Lin, Ming‐Yuan Min, Chih‐Cheng Chen 2010-05-22 置信度 0.72 NeuroscienceAcid-sensing ion channelHippocampusAggressionElevated plus maze
• A Review of U-Net Based Deep Learning Frameworks for MRI-Based Brain Tumor Segmentation
  Automated segmentation of brain tumors from Magnetic Resonance Imaging (MRI) images is helpful for clinical diagnosis, surgical planning, and post-treatment monitoring. In recent years, the U-Net architecture has been observed as one of the most popular soluti…
  openalex Ayşe BAŞTUĞ KOÇ, Devrim Akgün 2026-02-07 置信度 0.72 Deep learningArtificial intelligenceComputer scienceBenchmark (surveying)Segmentation
• Rapid predictive simulations with complex musculoskeletal models suggest that diverse healthy and pathological human gaits can emerge from similar control strategies
  Physics-based predictive simulations of human movement have the potential to support personalized medicine, but large computational costs and difficulties to model control strategies have limited their use. We have developed a computationally efficient optimal…
  openalex Antoine Falisse, Gil Serrancolí, Christopher L. Dembia, Joris Gillis 等 2019-08-01 置信度 0.72 GaitComputer scienceCollocation (remote sensing)Model predictive controlControl (management)
• Brain signals analysis for sleep stages detection using virtual instrumentation platform
  This paper discusses the use of the Laboratory Virtual Instrumentation Engineering Workbench (LabVIEW) software tool for analyzing brain waveforms (i.e EEG: electroencephalogram) to study sleep stages such as deep sleep, light sleep and so on. The used EEG sig…
  openalex Abdeljalil El Hadiri, Lhoussain Bahatti, Abdelmounime El Magri, Rachid Lajouad 2022-11-18 置信度 0.72 Instrumentation (computer programming)Computer scienceVirtual instrumentationElectroencephalographyWorkbench
• Brainwaves in concert: the 20th century sonification of the electroencephalogram
  Sonification of the EEG – the transformation of brainwaves into sound – has given rise to a variety of medical and artistic applications. Lutters & Koehler explore the history of EEG sonification and its contribution to brain-computer music interfacing, and il…
  openalex Bart Lutters, Peter J. Koehler 2016-08-19 置信度 0.72 SonificationElectroencephalographyInterfacingVariety (cybernetics)Cognitive science
• Dissociating Inhibition, Attention, and Response Control in the Frontoparietal Network Using Functional Magnetic Resonance Imaging
  Evidence suggests that the right inferior frontal cortex (IFC) plays a specialized role in response inhibition. However, more recent findings indicate a broader role for this region in attentional control. Here, we used functional magnetic resonance imaging to…
  openalex Chris Dodds, Sharon Morein‐Zamir, Trevor W. Robbins 2010-10-05 置信度 0.72 Functional magnetic resonance imagingNeuroscienceSensory systemResponse inhibitionInsula
• Clinical use of electronic portal imaging: Report of AAPM Radiation Therapy Committee Task Group 58
  AAPM Task Group 58 was created to provide materials to help the medical physicist and colleagues succeed in the clinical implementation of electronic portal imaging devices (EPIDs) in radiation oncology. This complex technology has matured over the past decade…
  openalex Michael Herman, James M. Balter, David A. Jaffray, Kiarin P. McGee 等 2001-05-01 置信度 0.72 Quality assuranceTask groupMedical physicsMedical physicistTask (project management)
• The modular nature of genetic diseases
  Evidence from many sources suggests that similar phenotypes are begotten by functionally related genes. This is most obvious in the case of genetically heterogeneous diseases such as Fanconi anemia, Bardet-Biedl or Usher syndrome, where the various genes work …
  openalex Martin Oti, HG Brunner 2006-10-17 置信度 0.72 BiologyGenePhenotypeGeneticsComputational biology
• Vascular Endothelial Growth Factor/Vascular Permeability Factor Produces Nitric Oxide–Dependent Hypotension
  In vitro studies suggest that vascular endothelial growth factor/vascular permeability factor (VEGF/VPF) may stimulate release of nitric oxide (NO) from endothelial cells. To investigate the hemodynamic consequences of recombinant VEGF/VPF administered in vivo…
  openalex Jeffrey R. Horowitz, Alain Rivard, Rien van der Zee, Mukesh D. Hariawala 等 1997-11-01 置信度 0.72 Vascular endothelial growth factorNitric oxideMedicineEndocrinologyVascular permeability
• A Comprehensive Survey of Agents for Computer Use: Foundations, Challenges, and Future Directions
  Background: Agents for computer use (ACUs) are systems that execute complex tasks on digital devices – such as personal computers or mobile phones – given instructions in natural language. These agents automate tasks by controlling software through low-level a…
  openalex Pascal Sager, Benjamin Meyer, Peng Yan, Rebekka von Wartburg-Kottler 等 2026-03-26 置信度 0.72 AutomationComputer scienceOperator (biology)Control (management)Human–computer interaction
• Thermosensitivity of the two‐pore domain K+ channels TREK‐2 and TRAAK
  TREK-1, TREK-2 and TRAAK are members of the two-pore domain K+ (K2P) channel family and are activated by membrane stretch and free fatty acids. TREK-1 has been shown to be sensitive to temperature in expression systems. We studied the temperature-sensitivity o…
  openalex Dawon Kang, Changyong Choe, Donghee Kim 2005-01-28 置信度 0.72 BiophysicsChemistryMembraneBiochemistryMolecular biology
• Organization of neuropeptide systems in the human brain
  Neuropeptides are functionally diverse signaling molecules in the brain, regulating a wide range of basal bodily and cognitive processes. Despite their importance, the distribution and function of neuropeptides in the human brain remains underexplored. Here we…
  openalex Eric G. Ceballos, Asa Farahani, Zhen-Qi Liu, Filip Milisav 等 2026-03-17 置信度 0.72 NeuropeptideNeuroscienceBiologyNeuropeptide Y receptorNeocortex
• Current advances in imaging spectroscopy and its state-of-the-art applications
  Imaging spectroscopy integrates traditional computer vision and spectroscopy into a single system and has gained widespread acceptance as a non-destructive scientific instrument for a wide range of applications. The current state of imaging spectroscopy spans …
  openalex Anam Zahra, Rizwan Qureshi, Muhammad Sajjad, Ferhat Sadak 等 2023-10-16 置信度 0.72 Computer scienceImaging spectroscopySpectroscopySoftwareImaging science
• The Metaverse: A new digital frontier for consumer behavior
  Abstract This work offers a multidisciplinary perspective on the Metaverse, focusing on its potential implications for consumer behavior. We begin by proposing a conceptualization of the Metaverse as being uniquely defined by the convergence of five key elemen…
  openalex Rhonda Hadi, Shiri Melumad, Eric S. Park 2023-04-26 置信度 0.72 MetaverseConceptualizationPerspective (graphical)Consumer behaviourFrontier
• Mild hypothermia reduces infarct size resulting from temporary but not permanent focal ischemia in rats.
  BACKGROUND AND PURPOSE: Mild hypothermia (32-35 degrees C) has been repeatedly shown in laboratory models to reduce damage resulting from global cerebral ischemic insults. Little information is available, however, regarding the protective potential of mild hyp…
  openalex Todd R. Ridenour, David S. Warner, Michael M. Todd, A C McAllister 1992-05-01 置信度 0.72 MedicineIschemiaHypothermiaOcclusionAnesthesia
• A Systematic Review of Attitudes, Anxiety, Acceptance, and Trust Towards Social Robots
  Abstract As social robots become more common, there is a need to understand how people perceive and interact with such technology. This systematic review seeks to estimate people’s attitudes toward, trust in, anxiety associated with, and acceptance of social r…
  openalex Stanislava Naneva, Marina Sardà Gou, Thomas L. Webb, Tony J. Prescott 2020-06-03 置信度 0.72 RobotValence (chemistry)PsychologySocial robotRobotics
• OryzaExpress: An Integrated Database of Gene Expression Networks and Omics Annotations in Rice
  Similarity of gene expression profiles provides important clues for understanding the biological functions of genes, biological processes and metabolic pathways related to genes. A gene expression network (GEN) is an ideal choice to grasp such expression profi…
  openalex Kazuki Hamada, Kohei Hongo, Keita Suwabe, Akifumi Shimizu 等 2010-12-23 置信度 0.72 Computational biologyGeneArabidopsisComputer scienceDatabase
• Second Language Acquisition of Gender Agreement in Explicit and Implicit Training Conditions: An Event‐Related Potential Study
  This study employed an artificial language learning paradigm together with a combined behavioral/event-related potential (ERP) approach to examine the neurocognition of the processing of gender agreement, an aspect of inflectional morphology that is problemati…
  openalex Kara Morgan‐Short, Cristina Sanz, Karsten Steinhauer, Michael T. Ullman 2010-02-17 置信度 0.72 AdjectivePsychologyNounAgreementN400
• Rethinking human–technology relations: exploring the sociopolitical dimensions of invasive brain stimulation
  Approaching the meeting of human and technology as a relation involves recognition of the plethora of already existing connections and associations between humans and non-human artifacts, as well as how connections grow and change over time. When connection be…
  openalex Amanda van Beinum 2024-12-23 置信度 0.72 ConceptualizationPosthumanSociologyAgency (philosophy)Vulnerability (computing)
• ChIPBase: a database for decoding the transcriptional regulation of long non-coding RNA and microRNA genes from ChIP-Seq data
  Long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) represent two classes of important non-coding RNAs in eukaryotes. Although these non-coding RNAs have been implicated in organismal development and in various human diseases, surprisingly little is known ab…
  openalex Jianhua Yang, Junhao Li, Shan Jiang, Hui Zhou 等 2012-11-17 置信度 0.72 BiologyChromatin immunoprecipitationmicroRNAComputational biologyGene
• PET-guided delineation of radiation therapy treatment volumes: a survey of image segmentation techniques
  Historically, anatomical CT and MR images were used to delineate the gross tumour volumes (GTVs) for radiotherapy treatment planning. The capabilities offered by modern radiation therapy units and the widespread availability of combined PET/CT scanners stimula…
  openalex Habib Zaidi, Issam El Naqa 2010-03-24 置信度 0.72 SegmentationArtificial intelligenceComputer scienceThresholdingRadiation treatment planning
• Foundation models for brain imaging: A systematic review
  Foundation models (FMs), large neural networks pretrained on extensive and diverse datasets, have revolutionized artificial intelligence and demonstrated significant promise in medical imaging by enabling robust performance with limited labeled data. Although …
  openalex Salah Ghamizi, Georgia Kanli, Yu Deng, Valérie Palissot 等 2026-04-12 置信度 0.72 Foundation (evidence)Engineering ethicsManagement scienceEngineeringComputer science
• Mind captioning: Evolving descriptive text of mental content from human brain activity
  A central challenge in neuroscience is decoding brain activity to uncover mental content comprising multiple components and their interactions. Despite progress in decoding language-related information from human brain activity, generating comprehensive descri…
  openalex Tomoyasu Horikawa 2025-11-05 置信度 0.72 MirroringSemantics (computer science)Brain activity and meditationComputer scienceDecoding methods
• All‐Ferroelectric Memtransistors for Brain‐Inspired Computing
  ABSTRACT In‐memory computing is pursued to overcome the memory and power walls inherent to the von Neumann architecture. However, heterosynaptic memtransistors with higher modulation dimensionality and enhanced memory capability still suffer from a limited con…
  openalex Jinhua Zeng, Chenyu Ye, Guangjian Wu, Huiting Wang 等 2026-01-27 置信度 0.72 Materials scienceFerroelectricityOptoelectronicsVon Neumann architecturePolarization (electrochemistry)
• Application of Ergonomics in Product Design Based on Computer-Aided Design
  At present, China’s social economy has entered a new state of normalized development. Since green economy is the strategic goal pursued by sustainable economic development and the core development trend of the economy, industrial product design focuses on desi…
  openalex Wu Changsong 2022-08-31 置信度 0.72 Product designIndustrial designHuman factors and ergonomicsProduct (mathematics)Engineering
• Cybersicherheit von Gehirn-Computer-Schnittstellen
  Brain-computer interfaces inspire visions of superhuman powers, enabling users to control protheses and other devices solely with their thoughts. But the rapid development and commercialization of this technology also brings security risks. Attacks on brain-co…
  openalex Mario Martini, Carolin Kemper 2022-03-17 置信度 0.72 ArtMaterials science
• A pragmatic analysis of the regulation of consumer transcranial direct current stimulation (TDCS) devices in the United States: Table 1.
  Several recent articles have called for the regulation of consumer transcranial direct current stimulation (tDCS) devices, which provide low levels of electrical current to the brain. However, most of the discussion to-date has focused on ethical or normative …
  openalex Anna Wexler 2015-10-12 置信度 0.72 Transcranial direct-current stimulationEnforcementScholarshipStatutory lawFood and drug administration
• Brain Source Correlates of Speech Perception and Reading Processes in Children With and Without Reading Difficulties
  Neural correlates in reading and speech processing have been addressed extensively in the literature. While reading skills and speech perception have been shown to be associated with each other, their relationship remains debatable. In this study, we investiga…
  openalex Najla Azaiez, Otto Loberg, Jarmo A. Hämäläinen, Paavo H. T. Leppänen 2022-07-19 置信度 0.72 Reading (process)PsychologyLateralization of brain functionPerceptionFluency
• A Survey of Tactile‐Sensing Systems and Their Applications in Biomedical Engineering
  Over the past few decades, tactile sensors have become an emerging field of research in both academia and industry. Recent advances have demonstrated application of tactile sensors in the area of biomedical engineering and opened up new opportunities for build…
  openalex Yousef Al-Handarish, Olatunji Mumini Omisore, Tobore Igbe, Shipeng Han 等 2020-01-01 置信度 0.72 Materials scienceSystems engineeringNanotechnologyTactile sensorArtificial intelligence
• Towards a HPC-oriented parallel implementation of a learning algorithm for bioinformatics applications
  BACKGROUND: The huge quantity of data produced in Biomedical research needs sophisticated algorithmic methodologies for its storage, analysis, and processing. High Performance Computing (HPC) appears as a magic bullet in this challenge. However, several hard t…
  openalex Gianni D’Angelo, Salvatore Rampone 2014-05-01 置信度 0.72 Computer scienceAlgorithmContext (archaeology)Set (abstract data type)Supercomputer
• Machine Learning for Adaptive Accessible User Interfaces: Overview and Applications
  This paper presents a systematic literature review on the use of machine learning (ML) for developing adaptive accessible user interfaces (AUI) with emphasis on applications in emerging technologies such as augmented and virtual reality (AR/VR). The review, co…
  openalex Mihaela Kristić, Ivona Zakarija, Frano Škopljanac-Mačina, Željka Car 2025-11-26 置信度 0.72 Computer scienceHuman–computer interactionMachine learningArtificial intelligenceAdaptive learning
• Scaffolding Strategies for Tissue Engineering and Regenerative Medicine Applications
  During the past two decades, tissue engineering and the regenerative medicine field have invested in the regeneration and reconstruction of pathologically altered tissues, such as cartilage, bone, skin, heart valves, nerves and tendons, and many others. The 3D…
  openalex Sandra Pina, Viviana P. Ribeiro, Catarina F. Marques, F. Raquel Maia 等 2019-06-05 置信度 0.72 Regenerative medicineScaffoldTissue engineeringDecellularizationSelf-healing hydrogels
• Microelectrode clusters enable therapeutic deep brain stimulation without noticeable side-effects in a rodent model of Parkinson’s disease
  BACKGROUND: Deep Brain Stimulation (DBS) is an established treatment for motor symptoms in Parkinson's disease (PD). However, side effects often limit the usefulness of the treatment. NEW METHOD: To mitigate this problem, we developed a novel cluster of ultrat…
  openalex Mohsin Mohammed, Nedjeljka Ivica, Hjálmar Bjartmarz, Palmi Thor Thorbergsson 等 2021-10-25 置信度 0.72 MicroelectrodeDeep brain stimulationStimulationMultielectrode arrayLocal field potential
• miRge3.0: a comprehensive microRNA and tRF sequencing analysis pipeline
  MicroRNAs and tRFs are classes of small non-coding RNAs, known for their roles in translational regulation of genes. Advances in next-generation sequencing (NGS) have enabled high-throughput small RNA-seq studies, which require robust alignment pipelines. Our …
  openalex Arun H. Patil, Marc K. Halushka 2021-06-23 置信度 0.72 AnnotationComputer sciencePython (programming language)Pipeline (software)Identifier
• Artificial Intelligence for Drug Discovery: Are We There Yet?
  Drug discovery is adapting to novel technologies such as data science, informatics, and artificial intelligence (AI) to accelerate effective treatment development while reducing costs and animal experiments. AI is transforming drug discovery, as indicated by i…
  openalex Catrin Hasselgren, Tudor I. Oprea 2023-09-22 置信度 0.72 Drug discoveryDrugData scienceComputer sciencePharmacology
• Interfaces haptiques et tactiles pour l’autisme : une revue systématique
  Les nouvelles technologies sont de plus en plus utilisées pour répondre aux besoins spécifiques des individus avec trouble du spectre de l’autisme (TSA). Les interfaces homme-machine explorant le sens du toucher apparaissent comme un canal d’interaction potent…
  openalex Alix Pérusseau-Lambert, Margarita Anastassova, Mehdi Boukallel, Mohamed Chétouani 等 2018-01-19 置信度 0.72 HumanitiesPolitical scienceSociologyArt
• Microglial Morphology and Dynamic Behavior Is Regulated by Ionotropic Glutamatergic and GABAergic Neurotransmission
  PURPOSE: Microglia represent the primary resident immune cells in the CNS, and have been implicated in the pathology of neurodegenerative diseases. Under basal or "resting" conditions, microglia possess ramified morphologies and exhibit dynamic surveying movem…
  openalex Aurora M. Fontainhas, Minhua Wang, Katharine J. Liang, Shan Chen 等 2011-01-25 置信度 0.72 Ionotropic effectNeurotransmissionGlutamatergicNeuroscienceBiology
• Distance-dependent connectivity in the brain facilitates high dynamical and structural complexity
  Recent experiments have revealed that the inter-regional connectivity of the cerebral cortex exhibits strengths spanning over several orders of magnitude and decaying with distance. We demonstrate this to be a fundamental organizing feature that fosters high c…
  openalex Victor J. Barranca 2025-12-26 置信度 0.72 Computer scienceComputationConnection (principal bundle)Feature (linguistics)Nonlinear system
• Re‐wiring of the bonded brain: Gene expression among pair bonded female prairie voles changes as they transition to motherhood
  Motherhood is a costly life-history transition accompanied by behavioral and neural plasticity necessary for offspring care. Motherhood in the monogamous prairie vole is associated with decreased pair bond strength, suggesting a trade-off between parental inve…
  openalex Santiago A. Forero, Sydney Liu, Netra Shetty, Alexander G. Ophir 2024-06-01 置信度 0.72 Oxytocin receptorNucleus accumbensPrairie volePair bondDopamine
• Tumor Necrosis Factor‐α Underlies Loss of Cortical Dendritic Spine Density in a Mouse Model of Congestive Heart Failure
  BACKGROUND: Heart failure (HF) is a progressive disorder characterized by reduced cardiac output and increased peripheral resistance, ultimately leading to tissue perfusion deficits and devastating consequences for several organs including the brain. We previo…
  openalex Anja Meißner, Naomi P. Visanji, M. Abdul Momen, Rui Feng 等 2015-05-01 置信度 0.72 MedicineHeart failureNeuroinflammationProinflammatory cytokineCardiology
• Evaluating UX and Usability in Automotive Human–Machine Interfaces: A Systematic Review
  Human–Machine Interfaces (HMIs) are increasingly important in vehicles and other safety-critical systems, yet approaches to their usability and User eXperience (UX) evaluation remain fragmented. This systematic literature review investigates how HMIs are empir…
  openalex Marco Cescon, Margherita Peruzzini 2026-04-01 置信度 0.72 UsabilityAutomotive industryComputer scienceScopusUsability engineering
• Artificial Intelligence and Machine Learning in the Diagnosis and Management of Stroke: A Narrative Review of United States Food and Drug Administration-Approved Technologies
  Stroke is an emergency in which delays in treatment can lead to significant loss of neurological function and be fatal. Technologies that increase the speed and accuracy of stroke diagnosis or assist in post-stroke rehabilitation can improve patient outcomes. …
  openalex Anirudha S. Chandrabhatla, Elyse A. Kuo, Jennifer D. Sokolowski, Ryan T. Kellogg 等 2023-05-30 置信度 0.72 MedicineStroke (engine)Food and drug administrationWorkflowTriage
• Neuroergonomics: measuring the human operator’s brain in ecological settings
  Découvrir le sommaire de ce numéro, suivre la revue par email, s'abonner... Scannez ce QR Code pour accéder à la page de ce numéro sur Cairn.info. Distribution électronique Cairn.info pour Presses Universitaires de France.Vous avez l'autorisation de reproduire…
  openalex Frédéric Dehais, Mickaël Causse, Julien Cegarra 2017-03-23 置信度 0.72 Operator (biology)EcologyComputer scienceBiologyGene
• Driver Distraction Detection Using Bidirectional Long Short-Term Network Based on Multiscale Entropy of EEG
  Driver distraction diverting drivers’ attention to unrelated tasks and decreasing the ability to control vehicles, has aroused widespread concern about driving safety. Previous studies have found that driving performance decreases after distraction and have us…
  openalex Xin Zuo, Chi Zhang, Fengyu Cong, Jian Zhao 等 2022-03-23 置信度 0.72 DistractionElectroencephalographyComputer scienceTerm (time)Entropy (arrow of time)
• How many words do we read per minute? A review and meta-analysis of reading rate
  Based on the analysis of 190 studies (18,573 participants), we estimate that the average silent reading rate for adults in English is 238 words per minute (wpm) for non-fiction and 260 wpm for fiction. The difference can be predicted by taking into account the…
  openalex Marc Brysbaert 2019-08-09 置信度 0.72 Words per minuteReading (process)Reading ratePsychologyActive listening
• In AI We Trust? Effects of Agency Locus and Transparency on Uncertainty Reduction in Human–AI Interaction
  Abstract Artificial intelligence (AI) is increasingly used to make decisions for humans. Unlike traditional AI that is programmed to follow human-made rules, machine-learning AI generates rules from data. These machine-generated rules are often unintelligible …
  openalex Bingjie Liu 2021-08-20 置信度 0.72 Transparency (behavior)Artificial intelligenceAgency (philosophy)PersonalityUncertainty reduction theory
• Reward-related neural responses are dependent on the beneficiary
  Prior studies have suggested that positive social interactions are experienced as rewarding. Yet, it is not well understood how social relationships influence neural responses to other persons' gains. In this study, we investigated neural responses during a ga…
  openalex Barbara R. Braams, Berna Güroğlu, Erik de Water, Rosa Meuwese 等 2013-05-29 置信度 0.72 PsychologyPrecuneusVentral striatumTemporoparietal junctionStriatum
• A comprehensive framework for statistical testing of brain dynamics
  openalex Nick Y. Larsen, Laura Paulsen, Christine Ahrends, Anderson M. Winkler 等 2026-01-19 置信度 0.72 Computer sciencePython (programming language)WorkflowStatistical inferenceVisualization
• GenoSurf: metadata driven semantic search system for integrated genomic datasets
  Many valuable resources developed by world-wide research institutions and consortia describe genomic datasets that are both open and available for secondary research, but their metadata search interfaces are heterogeneous, not interoperable and sometimes with …
  openalex Arif Canakoglu, Anna Bernasconi, Andrea Colombo, Marco Masseroli 等 2019-01-01 置信度 0.72 MetadataComputer scienceInformation retrievalWorld Wide WebSearch engine
• Dynamic shim updating (DSU) for multislice signal acquisition
  Dynamic shim updating (DSU) is a technique for achieving optimal magnetic field homogeneity over extended volumes by dynamically updating an optimal shim setting for each individual slice in a multislice acquisition protocol. Here the practical implementation …
  openalex Robin A. de Graaf, Peter B. Brown, Scott McIntyre, Douglas L. Rothman 等 2003-02-20 置信度 0.72 Shim (computing)MultisliceHomogeneity (statistics)Computer scienceNuclear magnetic resonance
• Oscillatory Dynamics of Brain Microcircuits
  We describe two previously presented approaches to modeling oscillations in brain microcircuits in which multiple levels of organization and cellular perspectives are considered. We take advantage of Aristotle's doctrine of the four causes to help clarify expl…
  openalex Frances K. Skinner, Alexandra Pierri Chatzikalymniou 2017-09-11 置信度 0.72 Dynamics (music)NeuroscienceField (mathematics)Cognitive scienceDoctrine
• From 2D cultures to 3D systems: evolving cancer models at the interface of functional precision medicine and theranostics
  Advances in patient-derived cancer models are pushing precision oncology by linking functional testing directly to therapeutic decision-making.Traditional two-dimensional (2D) cancer cell culture systems have long served as accessible tools for studying cancer…
  openalex Yizheng Zhang, Naray Payab, Bettina Weigelin, Christian M. Schürch 2026-01-21 置信度 0.72 Precision medicineCancerCancer MedicinePersonalized medicineComputational biology
• Histologic assessment of neurons in rat models of cerebral ischemia.
  We describe a method for typing neurons into four progressive stages of ischemic deterioration based on visual characterization of the nucleus in terms of its optical contrast, delineation along the nuclear-cytoplasmic interface, and its shape. Difficulty in a…
  openalex András Eke, K. A. Conger, Michael L. Anderson, Julio Herrero García 1990-02-01 置信度 0.72 MedicineReproducibilityTypingIschemiaType I and type II errors
• Assessing the attention levels of students by using a novel attention aware system based on brainwave signals
  Abstract Rapid progress in information and communication technologies ( ICTs ) has fueled the popularity of e‐learning. However, an e‐learning environment is limited in that online instructors cannot monitor immediately whether students remain focus during onl…
  openalex Chih‐Ming Chen, Jung‐Ying Wang, Chih‐Ming Yu 2015-11-13 置信度 0.72 Computer scienceElectroencephalographyArtificial intelligenceSupport vector machineMachine learning
• Teaching about Accessibility in Computer Science Education
  A ccessibility, in the context of computer science (CS), is about making computing products accessible to disabled people.Accessibility is also about creating technical solutions to accessibility problems that disabled people encounter in everyday living.These…
  openalex Richard E. Ladner, Stephanie Ludi, Robert J Domanski 2025-06-01 置信度 0.72 Computer scienceComputational thinkingMathematics educationHuman–computer interactionEngineering ethics
• Determinants of regional and local diversity within the astroglial lineage of the normal central nervous system
  Astrocytes are a major component of the resident non-neuronal glial cell population of the CNS. They are ubiquitously distributed throughout the brain and spinal cord, where they were initially thought to function in both structural and homeostatic capacities,…
  openalex James A. Hewett 2009-07-17 置信度 0.72 AstrocyteNeuroscienceBiologyCentral nervous systemPopulation
• Systems pharmacology in drug discovery and therapeutic insight for herbal medicines
  Systems pharmacology is an emerging field that integrates systems biology and pharmacology to advance the process of drug discovery, development and the understanding of therapeutic mechanisms. The aim of the present work is to highlight the role that the syst…
  openalex Chao Huang, Chunli Zheng, Yan Li, Yonghua Wang 等 2013-05-21 置信度 0.72 Systems pharmacologyClinical pharmacologyDrug discoveryInformaticsSystems biology
• The user–developer communication process: a critical case study
  Abstract. Although user participation in systems development is widely believed to have positive impacts on user acceptance, it does not guarantee success and there is still much that we do not know about how and why user participation sometimes delivers posit…
  openalex Michael J. Gallivan, Mark Keil 2002-12-18 置信度 0.72 Leverage (statistics)User storyComputer scienceProcess (computing)User Research
• The evolution of reading in the age of digitisation: an integrative framework for reading research
  Abstract In the course of digitisation, the range of substrates for textual reading is being expanded to include a number of screen‐based technologies and reading devices, such as e‐readers (e.g. Kindle) and tablets (e.g. iPad). These technologies have distinc…
  openalex Anne Mangen, Adriaan van der Weel 2016-06-20 置信度 0.72 Reading (process)AffordanceComputer scienceEmbodied cognitionExploratory research
• X-ray computed tomography
  This Primer on X-ray computed tomography explores the different experimental configurations for three-dimensional data acquisition as well as the fundamentals of three-dimensional data reconstruction, segmentation and analysis with examples across the physical…
  openalex Philip J. Withers, Charles A. Bouman, Simone Carmignato, Veerle Cnudde 等 2021-02-25 置信度 0.72 TomographyMetrologyVisualizationComputed tomographyFocus (optics)
• Brain stimulation preferentially influences long-range projections
  Advances in brain stimulation have made it possible to target smaller and smaller regions for electromagnetic stimulation, in the hopes of producing increasingly focal neural effects. However, the brain is extensively interconnected, and the neurons comprising…
  openalex Pedro G. Vieira, Matthew R. Krause, Pooya Laamerad, Christopher C. Pack 2025-09-05 置信度 0.72 NeuroscienceStimulationBrain stimulationRange (aeronautics)Biology
• Comparative Genomic Analysis of the Eight-Membered Ring Cystine Knot-Containing Bone Morphogenetic Protein Antagonists
  TGF-beta family proteins with a cystine knot motif serve as ligands for diverse families of plasma membrane receptors. Bone morphogenetic protein (BMP) antagonists represent a subgroup of these proteins, some of which bind BMPs and antagonize their actions dur…
  openalex Orna Avsian-Kretchmer, Aaron J.W. Hsueh 2003-10-06 置信度 0.72 BiologyBone morphogenetic proteinGenomeGeneticsSubfamily
• Temporal continuity of self: Long autocorrelation windows mediate self-specificity
  The self is characterized by an intrinsic temporal component consisting in continuity across time. On the neural level, this temporal continuity manifests in the brain's intrinsic neural timescales (INT) that can be measured by the autocorrelation window (ACW)…
  openalex David Smith, Annemarie Wolff, Angelika Wolman, Julia Ignaszewski 等 2022-05-11 置信度 0.72 NarrativeNeural correlates of consciousnessElectroencephalographyPsychologySelf
• Response inhibition results in the emotional devaluation of faces: neural correlates as revealed by fMRI
  Although it is well established that prior experience with faces determines their subsequent social-emotional evaluation, recent work shows that top-down inhibitory mechanisms, including response inhibition, can lead to social devaluation after even a single, …
  openalex Sonia Doallo, Jane E. Raymond, Kimron L. Shapiro, Mónika Kiss 等 2011-06-02 置信度 0.72 PsychologyFunctional magnetic resonance imagingOrbitofrontal cortexPrefrontal cortexCognitive psychology
• Limb-state feedback from ensembles of simultaneously recorded dorsal root ganglion neurons
  Functional electrical stimulation (FES) holds great potential for restoring motor functions after brain and spinal cord injury. Currently, most FES systems are under simple finite state control, using external sensors which tend to be bulky, uncomfortable and …
  openalex Douglas J. Weber, R. B. Stein, Dirk G. Everaert, A. Procházka 2007-08-22 置信度 0.72 MicrostimulationDorsal root ganglionSensory systemFunctional electrical stimulationNeuroscience
• Perspectives on Individual Animal Identification from Biology and Computer Vision
  Identifying individual animals is crucial for many biological investigations. In response to some of the limitations of current identification methods, new automated computer vision approaches have emerged with strong performance. Here, we review current advan…
  openalex Maxime Vidal, Nathan Wolf, Beth Rosenberg, Bradley P. Harris 等 2021-05-27 置信度 0.72 Identification (biology)Computer scienceCurrent (fluid)Data scienceHuman–computer interaction
• NPASS: natural product activity and species source database for natural product research, discovery and tool development
  There has been renewed interests in the exploration of natural products (NPs) for drug discovery, and continuous investigations of the therapeutic claims and mechanisms of traditional and herbal medicines. In-silico methods have been employed for facilitating …
  openalex Xian Zeng, Peng Zhang, Weidong He, Qin Chu 等 2017-10-18 置信度 0.72 Natural productIn silicoBiologyComputational biologyDrug discovery
• The first MICCAI challenge on PET tumor segmentation
  openalex Mathieu Hatt, Baptiste Laurent, Anouar Ouahabi, Hadi Fayad 等 2017-12-09 置信度 0.72 Computer scienceSegmentationArtificial intelligenceConvolutional neural networkPipeline (software)
• Decision-making and action selection in insects: inspiration from vertebrate-based theories
  Effective decision-making, one of the most crucial functions of the brain, entails the analysis of sensory information and the selection of appropriate behavior in response to stimuli. Here, we consider the current state of knowledge on the mechanisms of decis…
  openalex Andrew B. Barron, Kevin Gurney, Lianne F. S. Meah, Eleni Vasilaki 等 2015-08-18 置信度 0.72 Action selectionNeuroscienceSelection (genetic algorithm)Action (physics)Computer science
• Selective auditory attention detection based on effective connectivity by single-trial EEG
  OBJECTIVE: Focusing attention on one speaker in an environment with lots of speakers is one of the important abilities of the human auditory system. The temporal dynamics of the attention process and how the brain precisely performs this task are yet unknown. …
  openalex Masoud Geravanchizadeh, Sahar Bakhshalipour Gavgani 2020-03-04 置信度 0.72 Computer scienceDiscriminative modelBrain–computer interfaceElectroencephalographyPattern recognition (psychology)
• On Machine Learning-Based Techniques for Future Sustainable and Resilient Energy Systems
  Permanently increasing penetration of converter-interfaced generation and renewable energy sources (RESs) makes modern electrical power systems more vulnerable to low probability and high impact events, such as extreme weather, which could lead to severe conti…
  openalex Jiawei Wang, Pierre Pinson, Spyros Chatzivasileiadis, Mathaios Panteli 等 2022-07-28 置信度 0.72 Resilience (materials science)Renewable energyElectric power systemReliability engineeringReliability (semiconductor)
• Exploration of resting‐state brain functional connectivity as preclinical markers for arousal prediction in prolonged disorders of consciousness: A pilot study based on functional near‐infrared spectroscopy
  BACKGROUND: There is no diagnostic assessment procedure with moderate or strong evidence of use, and evidence for current means of treating prolonged disorders of consciousness (pDOC) is sparse. This may be related to the fact that the mechanisms of pDOC have …
  openalex Yaomin Luo, Lingling Wang, Yuxuan Yang, Xin Jiang 等 2024-08-01 置信度 0.72 Task-positive networkDefault mode networkArousalResting state fMRIPersistent vegetative state
• Comparative analysis of transverse intrafascicular multichannel, longitudinal intrafascicular and multipolar cuff electrodes for the selective stimulation of nerve fascicles
  The selection of a suitable nerve electrode for neuroprosthetic applications implies a trade-off between invasiveness and selectivity, wherein the ultimate goal is achieving the highest selectivity for a high number of nerve fascicles by the least invasiveness…
  openalex Jordi Badía, Tim Boretius, David Andreu, Christine Coste 等 2011-05-11 置信度 0.72 FascicleStimulationCuffAnatomySciatic nerve
• Pathology imaging informatics for quantitative analysis of whole-slide images
  OBJECTIVES: With the objective of bringing clinical decision support systems to reality, this article reviews histopathological whole-slide imaging informatics methods, associated challenges, and future research opportunities. TARGET AUDIENCE: This review targ…
  openalex Sonal Kothari, John H. Phan, Todd H. Stokes, May D. Wang 2013-08-20 置信度 0.72 InformaticsHealth informaticsComputer scienceData scienceMedicine
• Cracking the neural code, treating paralysis and the future of bioelectronic medicine
  The human nervous system is a vast network carrying not only sensory and movement information, but also information to and from our organs, intimately linking it to our overall health. Scientists and engineers have been working for decades to tap into this net…
  openalex Chad Bouton 2017-04-16 置信度 0.72 MedicineDECIPHERNeuroscienceParalysisNeural decoding
• Lipid bilayer regulation of membrane protein function: gramicidin channels as molecular force probes
  Membrane protein function is regulated by the host lipid bilayer composition. This regulation may depend on specific chemical interactions between proteins and individual molecules in the bilayer, as well as on non-specific interactions between proteins and th…
  openalex Jens A. Lundbæk, Shemille A. Collingwood, Helgi I. Ingólfsson, Ruchi Kapoor 等 2009-11-25 置信度 0.72 Lipid bilayerBilayerLipid bilayer mechanicsGramicidinModel lipid bilayer
• Oscillatory EEG Signatures of Affective Processes during Interaction with Adaptive Computer Systems
  Affect monitoring is being discussed as a novel strategy to make adaptive systems more user-oriented. Basic knowledge about oscillatory processes and functional connectivity underlying affect during naturalistic human-computer interactions (HCI) is, however, s…
  openalex Mathias Vukelić, Katharina Lingelbach, Kathrin Pollmann, Matthias Peißner 2020-12-31 置信度 0.72 ElectroencephalographyPsychologyAffect (linguistics)NeuroscienceCognitive psychology
• Skin‐Like Transparent Sensor Sheet for Remote Healthcare Using Electroencephalography and Photoplethysmography
  Abstract The growing demand for efficient home healthcare applications for brain disorder diagnostics and treatment has inspired the development of wearable devices for monitoring brain activity. However, flexible probes that have improved biocompatibility for…
  openalex Teppei Araki, Shusuke Yoshimoto, Takafumi Uemura, Aiko Miyazaki 等 2022-07-19 置信度 0.72 PhotoplethysmogramMaterials scienceWearable computerTransmittanceWearable technology
• Halfway between 2D and Animal Models: Are 3D Cultures the Ideal Tool to Study Cancer-Microenvironment Interactions?
  An area that has come to be of tremendous interest in tumor research in the last decade is the role of the microenvironment in the biology of neoplastic diseases. The tumor microenvironment (TME) comprises various cells that are collectively important for norm…
  openalex Jessica Hoarau-Véchot, Arash Rafii, Cyril Touboul, Jennifer Pasquier 2018-01-18 置信度 0.72 Tumor microenvironmentCancerMetastasisBiologyCancer cell
• Using neural networks for reducing the dimensions of single-cell RNA-Seq data
  While only recently developed, the ability to profile expression data in single cells (scRNA-Seq) has already led to several important studies and findings. However, this technology has also raised several new computational challenges. These include questions …
  openalex Chieh Hubert Lin, Siddhartha Jain, Hannah Kim, Ziv Bar‐Joseph 2017-07-24 置信度 0.72 Cluster analysisBiologyComputer scienceArtificial neural networkExpression (computer science)
• Early life stress modulates oxytocin effects on limbic system during acute psychosocial stress
  Early life stress (ELS) is associated with altered stress responsivity, structural and functional brain changes and an increased risk for the development of psychopathological conditions in later life. Due to its behavioral and physiological effects, the neuro…
  openalex Simone Grimm, Karin Pestke, Melanie Feeser, Sabine Aust 等 2014-01-28 置信度 0.72 OxytocinLimbic systemPsychologyPsychopathologyHormone

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