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• Mobile Robot Path Planning Based on Ant Colony Algorithm With A* Heuristic Method
  This paper proposes an improved ant colony algorithm to achieve efficient searching capabilities of path planning in complicated maps for mobile robot. The improved ant colony algorithm uses the characteristics of A* algorithm and MAX_MIN Ant system. Firstly, …
  openalex Xiaolin Dai, Shuai Long, Zhiwen Zhang, Dawei Gong 2019-04-16 置信度 0.72 Computer scienceAnt colony optimization algorithmsMotion planningMobile robotHeuristic
• A Neurorobotic Approach of Emotion: Implemented Neurodynamics Mediate a Coupling Between Top-Down Abductive Inference and Bottom-Up Sensations
  Frontiers Events is a rapidly growing calendar management system dedicated to the scheduling of academic events. This includes announcements and invitations, participant listings and search functionality, abstract handling and publication, related events and p…
  openalex Saito Moeka, Tripathi Gyanendra, Hiroaki Wagatsuma 2014-01-01 置信度 0.72 Computer scienceCognitive scienceArtificial intelligencePsychologyInference
• A Neurorobotic Embodiment for Exploring the Dynamical Interactions of a\n Spiking Cerebellar Model and a Robot Arm During Vision-based Manipulation\n Tasks
  While the original goal for developing robots is replacing humans in\ndangerous and tedious tasks, the final target shall be completely mimicking the\nhuman cognitive and motor behaviour. Hence, building detailed computational\nmodels for the human brain is on…
  openalex Omar Zahra, David Navarro-Alarcón, Silvia Tolu 2021-02-03 置信度 0.72 Computer scienceArtificial intelligenceCerebellumMotor controlMotor learning
• A two-dimensional mid-infrared optoelectronic retina enabling simultaneous perception and encoding
  Infrared machine vision system for object perception and recognition is becoming increasingly important in the Internet of Things era. However, the current system suffers from bulkiness and inefficiency as compared to the human retina with the intelligent and …
  openalex Fakun Wang, Fangchen Hu, Mingjin Dai, Song Zhu 等 2023-04-06 置信度 0.72 Neuromorphic engineeringComputer scienceMNIST databaseArtificial intelligenceEncoding (memory)
• Real-time cortical simulation on neuromorphic hardware
  Real-time simulation of a large-scale biologically representative spiking neural network is presented, through the use of a heterogeneous parallelization scheme and SpiNNaker neuromorphic hardware. A published cortical microcircuit model is used as a benchmark…
  openalex Oliver Rhodes, Luca Peres, Andrew Rowley, Andrew Gait 等 2019-12-23 置信度 0.72 Neuromorphic engineeringSpiking neural networkComputer scienceArtificial neural networkCorrectness
• Robotic interfaces for cognitive psychology and embodiment research: A research roadmap
  Advanced human-machine interfaces render robotic devices applicable to study and enhance human cognition. This turns robots into formidable neuroscientific tools to study processes such as the adaptation between a human operator and the operated robotic device…
  openalex Philipp Beckerle, Claudio Castellini, Bigna Lenggenhager 2018-11-28 置信度 0.72 PsychologyCognitionCognitive scienceHuman–computer interactionPsychological research
• Artificial intelligence and machine learning
  Abstract Within the last decade, the application of “artificial intelligence” and “machine learning” has become popular across multiple disciplines, especially in information systems. The two terms are still used inconsistently in academia and industry—sometim…
  openalex Niklas Kühl, Max Schemmer, Marc Goutier, Gerhard Satzger 2022-11-09 置信度 0.72 TypologyCLARITYArtificial intelligenceComputer sciencePoint (geometry)
• 2A1-M07 Design of Brain Machine Interface using potable Near-InfraRed Spectroscopy system(Neurorobotics & Cognitive Robotics)
  Recently, Brain-Machine Interface (BMI) system is focused in robotics and medical science. In this research, we aim to design a BMI system using Near-InfraRed Spectroscopy (NIRS) which measures brain blood flow change. This time, we discuss a method of classif…
  openalex Tomotaka Ito, Hideki Akiyama, Yoshihiro Mitsui, Tokihisa Hirano 2012-01-01 置信度 0.72 RoboticsPotable waterInterface (matter)Artificial intelligenceCognition
• Bundled-Optode Method in Functional Near-Infrared Spectroscopy
  In this paper, a theory for detection of the absolute concentrations of oxy-hemoglobin (HbO) and deoxy-hemoglobin (HbR) from hemodynamic responses using a bundled-optode configuration in functional near-infrared spectroscopy (fNIRS) is proposed. The proposed m…
  openalex Hoang-Dung Nguyen, Keum‐Shik Hong, Yong‐Il Shin 2016-10-27 置信度 0.72 Functional near-infrared spectroscopyThumbOptodeHemodynamicsHaemodynamic response
• Exploratory Tactile Servoing With Active Touch
  A key unsolved problem in tactile robotics is how to combine tactile perception and control to interact robustly and intelligently with the surroundings. Here, we focus on a prototypical task of tactile exploration over surface features such as edges or ridges…
  openalex Nathan F. Lepora, Kirsty Aquilina, Luke Cramphorn 2017-01-31 置信度 0.72 Artificial intelligenceComputer visionVisual servoingActive perceptionComputer science
• Augmented Reality for Robotics: A Review
  Augmented reality (AR) is used to enhance the perception of the real world by integrating virtual objects to an image sequence acquired from various camera technologies. Numerous AR applications in robotics have been developed in recent years. The aim of this …
  openalex Zhanat Makhataeva, Hüseyin Atakan Varol 2020-04-02 置信度 0.72 RoboticsArtificial intelligenceRobotAugmented realityTeleoperation
• Natural and Artificial Intelligence: A brief introduction to the interplay between AI and neuroscience research
  Neuroscience and artificial intelligence (AI) share a long history of collaboration. Advances in neuroscience, alongside huge leaps in computer processing power over the last few decades, have given rise to a new generation of in silico neural networks inspire…
  openalex Tom Macpherson, Anne K. Churchland, Terry Sejnowski, James J. DiCarlo 等 2021-09-28 置信度 0.72 Computational neuroscienceCognitive neuroscienceSystems neuroscienceCognitive scienceNeuroinformatics
• 1P1-B05 Design of musculoskeletal infant robot for constructive study on environmental condition that facilitates motor development(Neurorobotics & Cognitive Robotics)
  In this study, we built an infant size robot with a vision system and a musculoskeletal system in order to investigate the effect of the interaction between a sensory system, a musculoskeletal system, and an environment on development of crawling motion. We fo…
  openalex Soichiro MORIYAMA, Kenichi Narioka, Koh Hosoda 2013-01-01 置信度 0.72 CrawlingRobotDevelopmental roboticsArtificial intelligenceMotion (physics)
• Frontal midline theta and N 200 amplitude reflect complementary information about expectancy and outcome evaluation
  Feedback ERN (fERN) and frontal midline theta have both been proposed to index a dopamine-like reinforcement learning signal in anterior cingulate cortex (ACC). We investigated these proposals by comparing fERN amplitude and theta power with respect to their s…
  openalex Azadeh HajiHosseini, Clay B. Holroyd 2013-03-22 置信度 0.72 PsychologyFernAnterior cingulate cortexAmplitudeNeuroscience
• Recent Progress in Transistor‐Based Optoelectronic Synapses: From Neuromorphic Computing to Artificial Sensory System
  Neuromorphic electronics draw attention as innovative approaches that facilitate hardware implementation of next‐generation artificial intelligent system including neuromorphic in‐memory computing, artificial sensory perception, and humanoid robotics. Among th…
  openalex Sung Woon Cho, Sung Min Kwon, Yong‐Hoon Kim, Sung Kyu Park 2021-02-05 置信度 0.72 Neuromorphic engineeringComputer scienceElectronicsComputer architectureTransistor
• Biological underpinnings for lifelong learning machines
  openalex Dhireesha Kudithipudi, Mario Aguilar-Simon, Jonathan Babb, Maxim Bazhenov 等 2022-03-23 置信度 0.72 Lifelong learningComputer scienceArtificial intelligenceSet (abstract data type)Bridge (graph theory)
• Enhanced Drowsiness Detection Using Deep Learning: An fNIRS Study
  In this paper, a deep-learning-based driver-drowsiness detection for brain-computer interface (BCI) using functional near-infrared spectroscopy (fNIRS) is investigated. The passive brain signals from drowsiness were acquired from 13 healthy subjects while driv…
  openalex M. Asjid Tanveer, Muhammad Jawad Khan, Mohsin Qureshi, Noman Naseer 等 2019-01-01 置信度 0.72 Brain–computer interfaceComputer scienceConvolutional neural networkFunctional near-infrared spectroscopyArtificial intelligence
• Self-clocking fast and variation tolerant true random number generator based on a stochastic mott memristor
  Abstract The intrinsic stochasticity of the memristor can be used to generate true random numbers, essential for non-decryptable hardware-based security devices. Here, we propose a novel and advanced method to generate true random numbers utilizing the stochas…
  openalex Gwangmin Kim, Jae Hyun In, Young Seok Kim, Hakseung Rhee 等 2021-05-18 置信度 0.72 MemristorRandom number generationComputer scienceVariation (astronomy)Topology (electrical circuits)
• 1P1-B07 Inteligence of humanoid robot which associate sentence with motion using large database in cloud computer(Neurorobotics & Cognitive Robotics)
  This paper proposes methods to generate sentences from motions by using a large word dataset, and to distribute the computations to cloud computers. These methods make it possible for humanoid robots to understand human motions in various sentences in real tim…
  openalex Ikuo Kusajima, Wataru Takano, Yoshihiko Nakamura 2013-01-01 置信度 0.72 SentenceComputer scienceMotion (physics)Word (group theory)Humanoid robot
• Neuromorphic Vision Datasets for Pedestrian Detection, Action Recognition, and Fall Detection
  DATA REPORT article Front. Neurorobot., 18 June 2019 Volume 13 - 2019 | https://doi.org/10.3389/fnbot.2019.00038
  openalex Shu Miao, Guang Chen, Xiangyu Ning, Yang Zi 等 2019-06-18 置信度 0.72 Computer sciencePedestrian detectionNeuromorphic engineeringAction recognitionArtificial intelligence
• A Soft Neuromorphic Approach for Contact Spatial Shape Sensing Based on Vision-Based Tactile Sensor
  openalex Xiaoxin Wang, Yicheng Yang, Ziliang Zhou, Guiyao Xiang 等 2022-01-01 置信度 0.72 Neuromorphic engineeringTactile sensorSpike (software development)Computer scienceArtificial intelligence
• 3P2-Q04 The Role of Visual Saliency Model in Coordinative Eye and Hand Movement : Towards Applications to Retinal Prostheses(Neurorobotics & Cognitive Robotics)
  Sight is important for our motion generation such as walking and reaching for an object. However, it is not evident which visual features give helpful information for motion generation. In this paper, we examine the prior visual features used for coordinative …
  openalex Takaomi Kanda, Hiroyuki Kanda, Yukie Nagai, Takashi Fujikado 等 2014-01-01 置信度 0.72 Artificial intelligenceComputer visionComputer scienceSightMotion (physics)
• Diabetic Retinopathy Detection from Fundus Images of the Eye Using Hybrid Deep Learning Features
  Diabetic Retinopathy (DR) is a medical condition present in patients suffering from long-term diabetes. If a diagnosis is not carried out at an early stage, it can lead to vision impairment. High blood sugar in diabetic patients is the main source of DR. This …
  openalex M. Mohsin Butt, D. N. F. Awang Iskandar, Sherif E. Abdelhamid, Ghazanfar Latif 等 2022-07-01 置信度 0.72 Diabetic retinopathyArtificial intelligenceFundus (uterus)Computer scienceConvolutional neural network
• SDRL: Interpretable and Data-Efficient Deep Reinforcement Learning Leveraging Symbolic Planning
  Deep reinforcement learning (DRL) has gained great success by learning directly from high-dimensional sensory inputs, yet is notorious for the lack of interpretability. Interpretability of the subtasks is critical in hierarchical decision-making as it increase…
  openalex Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson 2019-07-17 置信度 0.72 InterpretabilityReinforcement learningComputer scienceArtificial intelligencePlanner
• Robot-Assisted Therapy for Autism Spectrum Disorders with (Partially) Autonomous Control: Challenges and Outlook
  Abstract Robot-assisted therapy (RAT) is an emerging field that has already seen some success and is likely to develop in the future. One particular application area is within therapies for autism spectrum disorders, in which the viability of the approach has …
  openalex Serge Thill, Cristina Pop, Tony Belpaeme, Tom Ziemke 等 2012-01-01 置信度 0.72 AutismRobotAutonomyField (mathematics)Computer science
• Embodied working memory during ongoing input streams
  Sensory stimuli endow animals with the ability to generate an internal representation. This representation can be maintained for a certain duration in the absence of previously elicited inputs. The reliance on an internal representation rather than purely on t…
  openalex Nareg Berberian, Matt Ross, Sylvain Chartier 2021-01-05 置信度 0.72 Working memoryEmbodied cognitionSensory systemComputer scienceNeuroscience
• Towards a General Theory of Information
  Contemporary society is an information society, based on Information Sciences and Information Technology. Technical information is therefore the most accessed and further promoted. This article aims to push toward completeness the study of information by analy…
  openalex Laura L. Pană 2017-06-20 置信度 0.72 HierarchyGroup information managementInformation mappingVariety (cybernetics)Information science
• 1P1-B06 Analysis of insect odor source localization behavior by manipulating sensory feedback using a brain-machine hybrid system(Neurorobotics & Cognitive Robotics)
  We analyzed properties of a brain responding to unnatural sensory feedback by using a brain-machine hybrid system. The brain-machine hybrid system is a two-wheeled mobile robot with an insect's head as a controller. On the robot, we recorded neural signals rel…
  openalex Ryo Minegishi, Yosuke Takahashi, A. Takashima, Daisuke Kurabayashi 等 2013-01-01 置信度 0.72 Sensory systemArtificial intelligenceComputer scienceRobotOdor
• Autonomous Driving Architectures: Insights of Machine Learning and Deep Learning Algorithms
  Research in Autonomous Driving is taking momentum due to the inherent advantages of autonomous driving systems. The main advantage being the disassociation of the driver from the vehicle reducing the human intervention. However, the Autonomous Driving System i…
  openalex Mrinal Bachute, Javed Subhedar 2021-09-21 置信度 0.72 Artificial intelligenceComputer scienceDeep learningFault detection and isolationFalse positive paradox
• The Path Planning of Mobile Robot by Neural Networks and Hierarchical Reinforcement Learning
  Existing mobile robots cannot complete some functions. To solve these problems, which include autonomous learning in path planning, the slow convergence of path planning, and planned paths that are not smooth, it is possible to utilize neural networks to enabl…
  crossref Jinglun Yu, Yuancheng Su, Yifan Liao 2020-10-02T04:19:56Z 置信度 0.70
• A 3D Musculo-Mechanical Model of the Salamander for the Study of Different Gaits and Modes of Locomotion
  Computer simulation has been used to investigate several aspects of locomotion in salamanders. Here we introduce a three-dimensional forward dynamics mechanical model of a salamander, with physically realistic weight and size parameters. Movements of the four …
  crossref Nalin Harischandra, Jean-Marie Cabelguen, Örjan Ekeberg 2010-12-22T03:31:56Z 置信度 0.70
• A neural network-based exploratory learning and motor planning system for co-robots
  Collaborative robots, or co-robots, are semi-autonomous robotic agents designed to work alongside humans in shared workspaces. To be effective, co-robots require the ability to respond and adapt to dynamic scenarios encountered in natural environments. One way…
  crossref Byron V. Galbraith, Frank H. Guenther, Massimiliano Versace 2015-07-23T04:14:44Z 置信度 0.70
• The super-resolution reconstruction algorithm of multi-scale dilated convolution residual network
  Aiming at the problems of traditional image super-resolution reconstruction algorithms in the image reconstruction process, such as small receptive field, insufficient multi-scale feature extraction, and easy loss of image feature information, a super-resoluti…
  crossref Shanqin Wang, Miao Zhang, Mengjun Miao 2024-08-16T12:55:20Z 置信度 0.70
• Inference of affordances and active motor control in simulated agents
  Flexible, goal-directed behavior is a fundamental aspect of human life. Based on the free energy minimization principle, the theory of active inference formalizes the generation of such behavior from a computational neuroscience perspective. Based on the theor…
  crossref Fedor Scholz, Christian Gumbsch, Sebastian Otte, Martin V. Butz 2022-08-11T12:51:11Z 置信度 0.70
• A Correlation Analysis of Geomagnetic Field Characteristics in Geomagnetic Perceiving Navigation
  It is well-known that geomagnetic fields have multiple components or parameters, and that these geomagnetic parameters are related to each other. In this paper, a parameter selection method is proposed, and this paper mainly discusses the correlation of geomag…
  crossref Hong Li, Junsuo Qu, Xiangkui Jiang, Yun Niu 2021-12-23T08:53:40Z 置信度 0.70
• On Differential Mechanisms for Underactuated, Lightweight, Adaptive Prosthetic Hands
  Over the last decade underactuated, adaptive robot grippers and hands have received an increased interest from the robotics research community. This class of robotic end-effectors can be used in many different fields and scenarios with a very promising applica…
  crossref Geng Gao, Mojtaba Shahmohammadi, Lucas Gerez, George Kontoudis 等 2021-10-18T21:59:26Z 置信度 0.70
• Hierarchical Control of Visually-Guided Movements in a 3D-Printed Robot Arm
  The control architecture guiding simple movements such as reaching toward a visual target remains an open problem. The nervous system needs to integrate different sensory modalities and coordinate multiple degrees of freedom in the human arm to achieve that go…
  crossref Adam Matić, Pavle Valerjev, Alex Gomez-Marin 2021-10-29T11:25:45Z 置信度 0.70
• Editorial: How can wearable robotic and sensor technology advance neurorehabilitation?
  EDITORIAL article Front. Neurorobot., 11 October 2022 Volume 16 - 2022 | https://doi.org/10.3389/fnbot.2022.1033516
  crossref Shuo-Hsiu Chang, Shih-Chiao Tseng, Hao Su, Gerard E. Francisco 2022-10-11T11:31:41Z 置信度 0.70
• A multi-scale robotic tool grasping method for robot state segmentation masks
  As robots begin to collaborate with humans in their daily work spaces, they need to have a deeper understanding of the tasks of using tools. In response to the problem of using tools in collaboration between humans and robots, we propose a modular system based…
  pubmed Tao Xue, Deshuai Zheng, Jin Yan, Yong Liu 等 2022 置信度 0.82
• SentiMedQAer: A Transfer Learning-Based Sentiment-Aware Model for Biomedical Question Answering
  Recent advances have witnessed a trending application of transfer learning in a broad spectrum of natural language processing (NLP) tasks, including question answering (QA). Transfer learning allows a model to inherit domain knowledge obtained from an existing…
  crossref Xian Zhu, Yuanyuan Chen, Yueming Gu, Zhifeng Xiao 2022-03-10T15:00:31Z 置信度 0.70
• BEAN: Interpretable and Efficient Learning With Biologically-Enhanced Artificial Neuronal Assembly Regularization
  Deep neural networks (DNNs) are known for extracting useful information from large amounts of data. However, the representations learned in DNNs are typically hard to interpret, especially in dense layers. One crucial issue of the classical DNN model such as m…
  crossref Yuyang Gao, Giorgio A. Ascoli, Liang Zhao 2021-06-01T05:47:03Z 置信度 0.70
• Editorial: Explainable Artificial Intelligence and Neuroscience: Cross-Disciplinary Perspectives
  EDITORIAL article Front. Neurorobot., 03 August 2021 | https://doi.org/10.3389/fnbot.2021.731733
  crossref Jeffrey L. Krichmar, James Leland Olds, Juan V. Sanchez-Andres, Huajin Tang 2021-08-03T07:39:56Z 置信度 0.70
• Siamese hierarchical feature fusion transformer for efficient tracking
  Object tracking is a fundamental task in computer vision. Recent years, most of the tracking algorithms are based on deep networks. Trackers with deeper backbones are computationally expensive and can hardly meet the real-time requirements on edge platforms. L…
  pubmed Jiahai Dai, Yunhao Fu, Songxin Wang, Yuchun Chang 等 2022 置信度 0.82
• How Cognitive Models of Human Body Experience Might Push Robotics
  In the last decades, cognitive models of multisensory integration in human beings have been developed and applied to model human body experience. Recent research indicates that Bayesian and connectionist models might push developments in various branches of ro…
  crossref Tim Schürmann, Betty Jo Mohler, Jan Peters, Philipp Beckerle 2019-04-11T13:45:15Z 置信度 0.70
• FusionU10: enhancing pedestrian detection in low-light complex tourist scenes through multimodal fusion
  With the rapid development of tourism, the concentration of visitor flows poses significant challenges for public safety management, especially in low-light and highly occluded environments, where existing pedestrian detection technologies often struggle to ac…
  crossref Xuefan Zhou, Jiapeng Li, Yingzheng Li 2025-01-10T01:12:57Z 置信度 0.70
• Self-Learning Event Mistiming Detector Based on Central Pattern Generator
  A repetitive movement pattern of many animals, a gait, is controlled by the Central Pattern Generator (CPG), providing rhythmic control synchronous to the sensed environment. As a rhythmic signal generator, the CPG can control the motion phase of biomimetic le…
  crossref Rudolf Szadkowski, Miloš Prágr, Jan Faigl 2021-02-04T08:20:28Z 置信度 0.70
• LST-EMG-Net: Long short-term transformer feature fusion network for sEMG gesture recognition
  With the development of signal analysis technology and artificial intelligence, surface electromyography (sEMG) signal gesture recognition is widely used in rehabilitation therapy, human-computer interaction, and other fields. Deep learning has gradually becom…
  pubmed Wenli Zhang, Tingsong Zhao, Jianyi Zhang, Yufei Wang 等 2023 置信度 0.82
• Case report: Quantitative recognition of virtual human technology acceptance based on efficient deep neural network algorithm
  With the advancement of artificial intelligence, robotics education has been a significant way to enhance students' digital competency. In turn, the willingness of teachers to embrace robotics education is related to the effectiveness of robotics education imp…
  pubmed Xu Wang, Charles Chen, Wang X, Chen C 2022 置信度 0.82
• Cross-Subject EEG Feature Selection for Emotion Recognition Using Transfer Recursive Feature Elimination
  Using machine-learning methodologies to analyze EEG signals becomes increasingly attractive for recognizing human emotions because of the objectivity of physiological data and the capability of the learning principles on modeling emotion classifiers from heter…
  crossref Zhong Yin, Yongxiong Wang, Li Liu, Wei Zhang 等 2017-04-10T03:46:39Z 置信度 0.70
• Multi-Target Coordinated Search Algorithm for Swarm Robotics Considering Practical Constraints
  In order to deal with the multi-target search problems for swarm robots in unknown complex environments, a multi-target coordinated search algorithm for swarm robots considering practical constraints is proposed in this paper. Firstly, according to the target …
  crossref You Zhou, Anhua Chen, Xinjie He, Xiaohui Bian 2021-12-06T04:43:13Z 置信度 0.70
• Effective cloth folding trajectories in simulation with only two parameters
  Robotic cloth folding remains challenging for robots due to its highly deformable nature. In order to deal with these deformations, several strategies with varying amounts of adaptability have been proposed. We study robotic cloth folding by simulating and eva…
  crossref Victor-Louis De Gusseme, Francis wyffels 2022-09-08T10:59:15Z 置信度 0.70
• UAV Based Indoor Localization and Objection Detection
  This article targets fast indoor positioning and 3D target detection for unmanned aerial vehicle (UAV) real-time task implementation. With the combined direct method and feature method, a method is proposed for fast and accurate position estimation of the UAV.…
  crossref Yimin Zhou, Zhixiong Yu, Zhuang Ma 2022-07-08T08:43:17Z 置信度 0.70
• Editorial: Human inspired robotic intelligence and structure in demanding environments
  EDITORIAL article Front. Neurorobot., 14 September 2022 https://doi.org/10.3389/fnbot.2022.1026917
  crossref Jiahao Chen, Hang Su, Juan Sandoval, Longbin Zhang 等 2022-09-14T09:47:57Z 置信度 0.70
• Continuous Timescale Long-Short Term Memory Neural Network for Human Intent Understanding
  Understanding of human intention by observing a series of human actions has been a challenging task. In order to do so, we need to analyze longer sequences of human actions related with intentions and extract the context from the dynamic features. The multiple…
  crossref Zhibin Yu, Dennis S. Moirangthem, Minho Lee 2017-08-23T03:56:52Z 置信度 0.70
• sEMG-Based Gesture Classifier for a Rehabilitation Glove
  Human hand gesture recognition from surface electromyography (sEMG) signals is one of the main paradigms for prosthetic and rehabilitation device control. The accuracy of gesture recognition is correlated with the control mechanism. In this work, a new classif…
  crossref Dorin Copaci, Janeth Arias, Marcos Gómez-Tomé, Luis Moreno 等 2022-05-30T15:16:52Z 置信度 0.70
• Is It Necessary to Integrate Evo-Devo to the Analysis and Construction of Artificial Emotional Systems?
  OPINION article Front. Neurorobot., 31 May 2022 https://doi.org/10.3389/fnbot.2022.728829
  crossref Jorge Luis Hernández-Ochoa, Francisco Vergara-Silva 2022-05-31T06:57:17Z 置信度 0.70
• Same movies, different stories: aberrant brain state dynamics during naturalistic emotional stimuli in depression.
  pubmed Liu Q, Zhang X, Zhang H, Chen K 等 2025 Dec 5 置信度 0.82
• Somatosensory restoration and neural control strategies in lower-limb prostheses.
  pubmed Mariscal DM, Driscoll B, Huang H, Fisher LE 2025 置信度 0.82
• The application of artificial intelligence in the acute and sub-acute phases of spinal cord injury- a systematic review.
  pubmed Gebeyehu TF, Sabbaghalvani MA, Failla G, Kabani AS 等 2026 Jan 置信度 0.82
• Technical development and user experience evaluation of the Computerised version of the Sydney Test of Activities of daily living in Memory disorders (C-STAM).
  pubmed Ginige JA, Rana K, Belcastro M, Gunaratne P 等 2025 置信度 0.82
• Impact of Physical Therapy on Empowering Neurological Aging: A Narrative Review.
  pubmed Baladaniya M, Baldania S, Gandhi NV, Hait A 2025 Oct 置信度 0.82
• Technology-assisted interventions for neuropsychiatric disorders.
  pubmed Fliti T, Shhaytli A, Serhal A, Takesh Z 等 2025 置信度 0.82
• Corticomuscular coupling study for post-stroke rehabilitation: a scoping review.
  pubmed Feng S, Yu X, Guo Y, Zheng B 等 2025 Nov 28 置信度 0.82
• Mapping meaning in the brain's language.
  pubmed Brouwer H 2026 Jan 置信度 0.82
• The future of psychiatry: clinical practice, diagnosis, and treatment.
  pubmed Turner S, Yadav P, Morrin H, Bhat A 2026 Feb-May 置信度 0.82
• Emerging Implantable Sensor Technologies at the Intersection of Engineering and Brain Science.
  pubmed Qi L, Wang Y, Liang X 2025 Nov 17 置信度 0.82
• Mapping EEG Metrics to Human Affective and Cognitive Models: An Interdisciplinary Scoping Review from a Cognitive Neuroscience Perspective.
  pubmed Gkintoni E, Halkiopoulos C 2025 Nov 1 置信度 0.82
• Adaptive neuromodulation dialogues: navigating current challenges and emerging innovations in neuromodulation system development.
  pubmed Lampert F, Baker MR, Jensen MA, Ayyoubi AH 等 2025 Dec 19 置信度 0.82
• A Computational Perspective on NeuroAI and Synthetic Biological Intelligence.
  pubmed Patel D, Tanveer MS, Gonzalez-Ferrer J, Loeffler A 等 2025 Oct 9 置信度 0.82
• Microglial TREM2 and cognitive impairment: insights from Alzheimer's disease with implications for spinal cord injury and AI-assisted therapeutics.
  pubmed Wu Z, Yu S, Tian D, Cheng L 等 2025 置信度 0.82
• Effects of exogenous oxytocin on human brain function are regulated by oxytocin gene expression: A meta-analysis of 20 years of oxytocin neuroimaging and transcriptomic analyses.
  pubmed Wang J, Gan X, Han M, Dong W 等 2026 Jan 置信度 0.82
• Ethical, legal, and sociocultural considerations in neural device explantation: a systematic review.
  pubmed Vooijs M, Bassil K, van den Brink A, van Stuijvenberg OC 等 2025 置信度 0.82
• Single-molecule quantum tunnelling sensors.
  pubmed Yi L, Yang Y, Zeng BF, Liu X 等 2026 Jan 26 置信度 0.82
• Feature Interpretability in Motor Imagery Brain Computer Interfaces: A Meta-Analysis Across Connectivity, Spatial Filtering, and Riemannian Methods.
  pubmed Gonzalez-Astudillo J, de Vico Fallani F 2026 Feb 置信度 0.82
• Next-Generation Neurotechnologies Inspired by Motor Primitive Model for Restoring Human Natural Movement.
  pubmed Chen ZJ, Huang XL, Xia N, Gu MH 等 2025 置信度 0.82
• Mapping the white-matter functional connectome: a personal perspective.
  pubmed Li J, Chen H, Liao W 2025 置信度 0.82
• The fatigue status feature of bicycle movement based on deep learning and signal processing technology.
  pubmed He Y, Jan YH, Yang F, Ma Y 等 2025 Nov 10 置信度 0.82
• Multitarget neurostimulation of the deep brain: clinical opportunities, challenges, and emerging technologies.
  pubmed Del Sesto MJ, Negoita S, Bruzzone Giraldez M, LaJoie Z 等 2025 Oct 29 置信度 0.82
• [Promote the application and innovation of artificial intelligence in pediatric neurological diseases].
  pubmed Wang Y 2025 Oct 2 置信度 0.82
• Implantable Neural Speech Decoders: Recent Advances, Future Challenges.
  pubmed Jhilal S, Marchesotti S, Thirion B, Soudrie B 等 2026 Feb 置信度 0.82
• Spinal Cord Injury 2.0: Bridging the Gap Between Neurobiology, Technology, and Hope in the Era of Precision Medicine.
  pubmed Wang T, Yi T, Chen T, Khan NU 等 2025 Nov 置信度 0.82
• CAMK2G in subcellular Ca(2+) homeostasis: Molecular mechanisms and therapeutic targeting.
  pubmed Cao Y, Pan Z, Shen X, Xu Z 等 2025 Dec 置信度 0.82
• Systematic review and meta-analysis of the relationships between real-time neurofeedback training parameters and acquisition of neural modulation.
  pubmed Galang EV, Velásquez MA, Elcin D, O'Connell S 等 2025 置信度 0.82
• Wearable devices in neurological disorders: a narrative review of status quo and perspectives.
  pubmed Cai H, Hu J, Zhao C, Lin J 2025 Aug 31 置信度 0.82
• Conductive and Semiconductive 2D Materials for Neural Interfaces, Biosensors, and Therapeutic Modulation.
  pubmed Shin CJ, Lee K, Langford L, Bai W 2025 Nov 置信度 0.82
• Conductive Hydrogel-Enabled Electrode for Scalp Electroencephalography Monitoring.
  pubmed Ji Z, Li L, Zheng M, Ye X 等 2026 Apr 置信度 0.82
• Cutting-edge technologies in neural regeneration.
  pubmed Li CP, Wang YY, Zhou CW, Ding CY 等 2025 Sep 5 置信度 0.82
• Engineered Hydrogels as Functional Components in Controllable Neuromodulation for Translational Therapeutics.
  pubmed Zhao Y, Sun R, Wang Z, Ma S 等 2025 Sep 15 置信度 0.82
• Advanced neuroimaging techniques to decipher brain connectivity networks in patients with disorder of consciousness: a narrative review.
  pubmed Zhu S, Cao T, He Q, Wang N 等 2025 置信度 0.82
• Artificial Intelligence Approaches for EEG Signal Acquisition and Processing in Lower-Limb Motor Imagery: A Systematic Review.
  pubmed Moreno-Castelblanco SR, Vélez-Guerrero MA, Callejas-Cuervo M 2025 Aug 13 置信度 0.82
• Current Mechanobiological Pathways and Therapies Driving Spinal Health.
  pubmed Kumar R, Sporn K, Kaur H, Khanna A 等 2025 Aug 20 置信度 0.82
• Fear Detection Using Electroencephalogram and Artificial Intelligence: A Systematic Review.
  pubmed Serna B, Salazar R, Alonso-Silverio GA, Baltazar R 等 2025 Jul 29 置信度 0.82
• Wheelchair-mounted robotic arms: a systematic review of technical design and activities of daily living outcomes.
  pubmed Rahman MM, Banik N, Sunny MSH, Zarif MII 等 2025 Oct 置信度 0.82
• Gut: The gate and key to brain.
  pubmed Zhang X, Yang Y 2025 Sep 20 置信度 0.82
• Potential saviour of pulmonary fibrosis: multi-pathway treatment of natural products.
  pubmed Weng Y, He B, Zhou J, Luo P 等 2025 Nov 置信度 0.82
• An exhaustive examination of the research progress in identifying potential JAK inhibitors from natural products: a comprehensive overview.
  pubmed Yang W, Lu J, Luo P, Xu Z 等 2025 Aug 21 置信度 0.82
• Multifunctional Hydrogel Materials for Advanced Neural Interfaces.
  pubmed Ma C, Li W, Gao C, Li X 等 2025 Sep 置信度 0.82
• Decoding brain signals: A comprehensive review of EEG-Based BCI paradigms, signal processing and applications.
  pubmed Yadav H, Maini S 2025 Sep 置信度 0.82
• Advances in Ischemic Stroke Treatment: Current and Future Therapies.
  pubmed Lo BWY, Fukuda H 2025 Oct 置信度 0.82
• Mind the gap: bridging ethical considerations and regulatory oversight in implantable BCI human subjects research.
  pubmed Wilkins RB, Coffin T, Pham M, Klein E 等 2025 置信度 0.82