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• New Opportunities of Electrochemistry for Monitoring, Modulating, and Mimicking the Brain Signals
  High Resolution Image Download MS PowerPoint Slide In vivo electrochemistry is a powerful key for unlocking the chemical consequences in neural networks of the brain. The past half-century has witnessed the technology revolutionization in this field along with…
  openalex Fei Wu, Ping Yu, Lanqun Mao 2023-08-09 置信度 0.72 NeurochemicalNeuromodulationNanotechnologyBrain implantNeuroscience
• Commensal microbiota modulate murine behaviors in a strictly contamination‐free environment confirmed by culture‐based methods
  BACKGROUND: There is increasing evidence suggesting the existence of an interaction between commensal microbiota, the gut and the brain. The aim of this study was to examine the influence of commensal microbiota on the host behaviors in a contamination-free en…
  openalex Ryo Nishino, Katsunaka Mikami, Hidenori Takahashi, Shozo Tomonaga 等 2013-03-11 置信度 0.72 MonoaminergicOpen fieldBiologyMonoamine neurotransmitterColonization
• Physical Principles for Scalable Neural Recording
  Simultaneously measuring the activities of all neurons in a mammalian brain at millisecond resolution is a challenge beyond the limits of existing techniques in neuroscience. Entirely new approaches may be required, motivating an analysis of the fundamental ph…
  openalex Adam Henry Marblestone*, Bradley M Zamft*, Yael G Maguire, Yael G Maguire 等 2013-10-01 置信度 0.72 ScalabilityComputer scienceMicroscale chemistryMillisecondNeural activity
• When Are Tutorial Dialogues More Effective Than Reading?
  It is often assumed that engaging in a one-on-one dialogue with a tutor is more effective than listening to a lecture or reading a text. Although earlier experiments have not always supported this hypothesis, this may be due in part to allowing the tutors to c…
  openalex Kurt VanLehn, Arthur C. Graesser, G. Tanner Jackson, Pamela Jordan 等 2007-02-01 置信度 0.72 Computer scienceReading (process)Active listeningTUTORTask (project management)
• Differential representation of arm movement direction in relation to cortical anatomy and function
  Information about arm movement direction in neuronal activity of the cerebral cortex can be used for movement control mediated by a brain-machine interface (BMI). Here we provide a topographic analysis of the information related to arm movement direction that …
  openalex Tonio Ball, Andreas Schulze‐Bonhage, Ad Aertsen, Carsten Mehring 2009-01-20 置信度 0.72 NeurosciencePremotor cortexMotor cortexPosterior parietal cortexElectrocorticography
• Technology for deep brain stimulation at a gallop
  Along with levodopa and botulinum toxin, deep brain stimulation (DBS) has been a milestone achievement in the treatment of movement disorders. Although the hardware for DBS has undergone technological improvement, and more than one manufacturer has appeared in…
  openalex Alberto Priori 2015-05-23 置信度 0.72 Deep brain stimulationMilestoneMovement disordersMedicineDisease
• Mind Reading and Writing: The Future of Neurotechnology
  openalex Pieter R. Roelfsema, Damiaan Denys, P. Christiaan Klink 2018-05-02 置信度 0.72 PsychologyReading (process)Cognitive scienceMind-wanderingCognitive psychology
• A fully implantable 96-channel neural data acquisition system
  A fully implantable neural data acquisition system is a key component of a clinically viable brain-machine interface. This type of system must communicate with the outside world and obtain power without the use of wires that cross through the skin. We present …
  openalex Michael Rizk, Chad A Bossetti, Thomas Jochum, Stephen H Callender 等 2009-03-02 置信度 0.72 Interface (matter)Data acquisitionComputer scienceComputer hardwareChannel (broadcasting)
• Wearable super-resolution muscle–machine interfacing
  Muscles are the actuators of all human actions, from daily work and life to communication and expression of emotions. Myography records the signals from muscle activities as an interface between machine hardware and human wetware, granting direct and natural c…
  openalex Huxi Wang, Siming Zuo, María Cerezo‐Sánchez, Negin Ghahremani Arekhloo 等 2022-11-17 置信度 0.72 Computer scienceWearable computerInterface (matter)InterfacingElectrical impedance myography
• The growing field of digital psychiatry: current evidence and the future of apps, social media, chatbots, and virtual reality
  As the COVID-19 pandemic has largely increased the utilization of telehealth, mobile mental health technologies - such as smartphone apps, vir-tual reality, chatbots, and social media - have also gained attention. These digital health technologies offer the po…
  openalex John Torous, Sandra Bucci, Imogen Bell, Lars Vedel Kessing 等 2021-09-09 置信度 0.72 Mental healthSocial mediaContext (archaeology)Psychological interventionTelemedicine
• Modeling Cognitive Load as a Self-Supervised Brain Rate with Electroencephalography and Deep Learning
  The principal reason for measuring mental workload is to quantify the cognitive cost of performing tasks to predict human performance. Unfortunately, a method for assessing mental workload that has general applicability does not exist yet. This is due to the a…
  openalex Luca Longo 2022-10-21 置信度 0.72 WorkloadComputer scienceElectroencephalographyArtificial intelligenceCognition
• Coordination of Fusion and Trafficking of Pre-osteoclasts at the Marrow–Bone Interface
  openalex Kent Søe, Thomas Levin Andersen, Maja Hinge, Lars Rolighed 等 2019-06-25 置信度 0.72 Interface (matter)Bone marrowCell biologyChemistryMedicine
• Open architecture computer‐aided diagnosis system
  Abstract: In this study an approach to open architecture computer‐aided diagnosis (CAD) is presented. The traditional goal of a CAD system, to assist the physicians in performing the diagnosis and treatment, has been extended. The platform also supports the sy…
  openalex Ewa Piętka, Jacek Kawa, Paweł Badura, Dominik Spińczyk 2010-02-01 置信度 0.72 CADComputer scienceWorkflowComputer Aided DesignFlexibility (engineering)
• Preserved blood-brain barrier and neurovascular coupling in female 5xFAD model of Alzheimer’s disease
  Introduction Dysfunction of the cerebral vasculature is considered one of the key components of Alzheimer’s disease (AD), but the mechanisms affecting individual brain vessels are poorly understood. Methods Here, using in vivo two-photon microscopy in superfic…
  openalex О. Б. Жуков, Chen He, Rana Soylu-Kucharz, Changsi Cai 等 2023-05-05 置信度 0.72 Blood–brain barrierNeurovascular bundleDiseaseNeuroscienceMedicine
• Using mobile phones in English education in Japan
  AbstractWe present three studies in mobile learning. First, we polled 333 Japanese university students regarding their use of mobile devices. One hundred percent reported owning a mobile phone. Ninety‐nine percent send e‐mail on their mobile phones, exchanging…
  openalex Patricia M. Thornton, Chris Houser 2005-05-31 置信度 0.72 Mobile phoneVocabularyMeaning (existential)MultimediaMobile device
• Interactive visualization and analysis of morphological skeletons of brain vasculature networks with VessMorphoVis
  MOTIVATION: Accurate morphological models of brain vasculature are key to modeling and simulating cerebral blood flow in realistic vascular networks. This in silico approach is fundamental to revealing the principles of neurovascular coupling. Validating those…
  openalex Marwan Abdellah, Nadir Román Guerrero, Samuel Lapere, Jay S. Coggan 等 2020-05-04 置信度 0.72 VisualizationComputer scienceWorkflowRendering (computer graphics)Python (programming language)
• Self-adaptive shared control with brain state evaluation network for human-wheelchair cooperation
  OBJECTIVE: For the shared control systems, how to trade off the control weight between robot autonomy and human operator is an important issue, especially for BCI-based systems. However, most of existing shared controllers have paid less attention to the effec…
  openalex Xiaoyan Deng, Zhu Liang Yu, Canguang Lin, Zhenghui Gu 等 2020-05-15 置信度 0.72 Computer scienceControl (management)Controller (irrigation)RobotBrain–computer interface
• Proceedings of the Third Annual Deep Brain Stimulation Think Tank: A Review of Emerging Issues and Technologies
  The proceedings of the 3rd Annual Deep Brain Stimulation Think Tank summarize the most contemporary clinical, electrophysiological, imaging, and computational work on DBS for the treatment of neurological and neuropsychiatric disease. Significant innovations o…
  openalex P. Justin Rossi, Aysegul Gunduz, Jack W. Judy, Linda Wilson 等 2016-04-05 置信度 0.72 Deep brain stimulationMultidisciplinary approachEngineering ethicsNeuroscienceNeurologic disease
• Long termin vitrofunctional stability and recording longevity of fully integrated wireless neural interfaces based on the Utah Slant Electrode Array
  We evaluate the encapsulation and packaging reliability of a fully integrated wireless neural interface based on a Utah Slant Electrode Array/integrated neural interface-recording version 5 (USEA/INI-R5) system by monitoring the long term in vitro functional s…
  openalex Asha Sharma, Loren Rieth, Prashant Tathireddy, Reid R. Harrison 等 2011-07-20 置信度 0.72 WirelessBrain–computer interfaceComputer scienceMaterials scienceElectrode array
• Molecular scaffolds underpinning macroglial polarization: An analysis of retinal Müller cells and brain astrocytes in mouse
  Key roles of macroglia are inextricably coupled to specialized membrane domains. The perivascular endfoot membrane has drawn particular attention, as this domain contains a unique complement of aquaporin-4 (AQP4) and other channel proteins that distinguishes i…
  openalex Rune Enger, Georg Andreas Gundersen, Nadia Nabil Haj‐Yasein, Martine Eilert‐Olsen 等 2012-09-17 置信度 0.72 BiologyRetinalPathologyDystrophinAstrocyte
• Deep Learning With an Attention Mechanism for Differentiating the Origin of Brain Metastasis Using MR images
  BACKGROUND: Brain metastasis (BM) is a serious neurological complication of cancer of different origins. The value of deep learning (DL) to identify multiple types of primary origins remains unclear. PURPOSE: To distinguish primary site of BM and identify the …
  openalex Tianyu Jiao, Fuyan Li, Yi Cui, Xiao Wang 等 2023-03-25 置信度 0.72 MedicineLung cancerBrain metastasisReceiver operating characteristicBreast cancer
• Exploring the Darkverse: A Multi-Perspective Analysis of the Negative Societal Impacts of the Metaverse
  The Metaverse has the potential to form the next pervasive computing archetype that can transform many aspects of work and life at a societal level. Despite the many forecasted benefits from the metaverse, its negative outcomes have remained relatively unexplo…
  openalex Yogesh K. Dwivedi, Nir Kshetri, Laurie Hughes, Nripendra P. Rana 等 2023-06-02 置信度 0.72 Perspective (graphical)MetaverseSocial worldsComputer scienceSociology
• Model-Based Comparison of Deep Brain Stimulation Array Functionality with Varying Number of Radial Electrodes and Machine Learning Feature Sets
  Deep brain stimulation (DBS) leads with radially distributed electrodes have potential to improve clinical outcomes through more selective targeting of pathways and networks within the brain. However, increasing the number of electrodes on clinical DBS leads b…
  openalex Benjamin A. Teplitzky, Laura Zitella Verbick, YiZi Xiao, Matthew D. Johnson 2016-06-09 置信度 0.72 Feature (linguistics)Deep brain stimulationComputer scienceArtificial intelligenceStimulation
• Transcranial current stimulation focality using disc and ring electrode configurations: FEM analysis
  We calculated the electric fields induced in the brain during transcranial current stimulation (TCS) using a finite-element concentric spheres human head model. A range of disc electrode configurations were simulated: (1) distant-bipolar; (2) adjacent-bipolar;…
  openalex Abhishek Datta, Maged Elwassif, Fortunato Battaglia, Marom Bikson 2008-04-28 置信度 0.72 ConcentricElectrodeMaterials scienceModulation (music)Surface (topology)
• Structural inequality and temporal brain dynamics across diverse samples
  BACKGROUND: Structural income inequality - the uneven income distribution across regions or countries - could affect brain structure and function, beyond individual differences. However, the impact of structural income inequality on the brain dynamics and the …
  openalex Sandra Báez, Hernán Hernandez, Sebastián Moguilner, Jhosmary Cuadros 等 2024-10-01 置信度 0.72 Gini coefficientInequalityCognitionEconometricsPsychology
• Solid‐Phase Synthesis of Molecularly Imprinted Polymer Nanoparticles with a Reusable Template–“Plastic Antibodies”
  Abstract Molecularly imprinted polymers (MIPs) are generic alternatives to antibodies in sensors, diagnostics, and separations. To displace biomolecules without radical changes in infrastructure in device manufacture, MIPs should share their characteristics (s…
  openalex Alessandro Poma, António Guerreiro, Michael J. Whitcombe, Elena Piletska 等 2013-01-16 置信度 0.72 Molecularly imprinted polymerMaterials scienceTemplateNanoparticleNanotechnology
• Traumatic brain injury: a comparison of diffusion and volumetric magnetic resonance imaging measures
  Cognitive impairment after traumatic brain injury remains hard to predict. This is partly because axonal injury, which is of fundamental importance, is difficult to measure clinically. Advances in MRI allow axonal injury to be detected after traumatic brain in…
  openalex Niall Bourke, Maria Yanez Lopez, Peter O Jenkins, Sara De Simoni 等 2021-01-02 置信度 0.72 Fractional anisotropyDiffusion MRITraumatic brain injuryWhite matterNeurite
• Targeted Nanocarriers Co-Opting Pulmonary Intravascular Leukocytes for Drug Delivery to the Injured Brain
  Ex vivo -loaded white blood cells (WBC) can transfer cargo to pathological foci in the central nervous system (CNS). Here we tested affinity ligand driven in vivo loading of WBC in order to bypass the need for ex vivo WBC manipulation. We used a mouse model of…
  openalex Jia Nong, Patrick M. Glassman, Jacob W. Myerson, Viviana Zuluaga‐Ramirez 等 2023-07-11 置信度 0.72 Ex vivoBlood–brain barrierIn vivoIntravital microscopyNanocarriers
• Reconstructing visual illusory experiences from human brain activity
  Visual illusions provide valuable insights into the brain's interpretation of the world given sensory inputs. However, the precise manner in which brain activity translates into illusory experiences remains largely unknown. Here, we leverage a brain decoding t…
  openalex Fan Cheng, Tomoyasu Horikawa, Kei Majima, Misato Tanaka 等 2023-11-15 置信度 0.72 IllusionOptical illusionPerceptionBrain activity and meditationVisual cortex
• Overview of Neuroscience and Traffic Behavior
  crossref 2026-07-29T01:53:58Z 置信度 0.70
• Brain–computer interface applications in healthcare
  crossref JongHeon Kim, JangGil Oh, KooHyoung Lee 2025-11-21T22:47:29Z 置信度 0.70
• Analyzing data from deep brain stimulation: Machine Learning provides a map
  Neurosurgical and neuromodulation therapies require millimeter-level accuracy to effectively target functional brain regions. Yet, many neuroanatomical boundaries remain invisible to current imaging and electrophysiology methods, limiting precision and contrib…
  crossref S. Leszek, K.-R. Müller 2026-03-19T20:04:24Z 置信度 0.70
• A Hand NAvigation System for grasping
  crossref Peter König, Marcin Furtak 2026-03-19T20:04:24Z 置信度 0.70
• Brain computer interface: a survey
  crossref Yagna Manasa Boyapati, Ayesha Noshin, Sifat Wahid, Arshia Khan 2025-11-21T22:47:29Z 置信度 0.70
• BCI-Fi: The Dialogue Between Brain-Computer Interfaces and Fiction
  crossref Brendan Z. Allison, Eric S. Rabkin 2026-08-04T19:56:16Z 置信度 0.70
• EEG Signal Processing with Python
  crossref Ildar Rakhmatulin, Ganesh R. Naik 2026-04-12T22:05:56Z 置信度 0.70
• Enhancing EEG-Based Brain–Computer Interface Performance: A Review of Machine Learning Algorithms
  crossref 2025-12-08T23:20:35Z 置信度 0.70
• Machine Learning and Deep Learning for Brain‐Computer Interface Rehabilitation
  Brain-computer interfaces (BCIs) resulted in significant progress for neurorehabilitation as the innovative new discipline of technology-based brain interface development. The development of BCIs established neurological pathways from brain signals into extern…
  crossref M. Menagadevi, M. Nirmala, D. Thiyagarajan, Suman Lata Tripathi 2026-08-14T21:23:06Z 置信度 0.70
• Frequency-dependent filter lengths to decrease latency in motor ECoG Brain-Computer Interfaces
  crossref Mathis Etienne, Felix Martel, Tetiana Aksenova, Stephane Bonnet 2026-03-19T20:04:24Z 置信度 0.70
• Utilization of Mahalanobis Distance on Motor Imagery EEG Channel Selection
  In this study, a Mahalanobis distance based common spatial pattern (CSP)model (MD-CSP) was proposed and its performance applied to brain-computer interface (BCI) and motor imagery EEG signal processing was evaluated. EEG signals are often contaminated by noise…
  crossref Seungjun Lee 2026-03-19T20:04:24Z 置信度 0.70
• A Hybrid Brain Computer Interface Character Input System Combining Eye Tracking and Motor Imagery
  crossref 2026-07-16T01:44:32Z 置信度 0.70
• Accelerating Reinforcement Learning via Error-Related Human Brain Signals
  In this work, we investigate how implicit neural feedback can accelerate reinforcement learning in complex robotic manipulation settings. While prior electroencephalogram (EEG)-guided reinforcement learning studies have primarily focused on navigation or low-d…
  crossref Suzie Kim, Hye-Bin Shin, Hyo-Jeong Jang 2026-03-19T20:04:24Z 置信度 0.70
• Brain‐Computer Interface for Trust and Transparency in Human‐Centric Artificial Intelligence
  The integration of artificial intelligence (AI) in education and health care underscores the need for human-centric design and transparent explainability. This study explores how AI transparency enhances ethical decision-making and user trust, with a focus on …
  crossref Rajesh Singh, Aashna Sinha, Anita Gehlot, Praveen Kumar Malik 2026-08-14T21:23:06Z 置信度 0.70
• Adaptive deep brain stimulation in advanced Parkinson disease
  OBJECTIVE: Brain-computer interfaces (BCIs) could potentially be used to interact with pathological brain signals to intervene and ameliorate their effects in disease states. Here, we provide proof-of-principle of this approach by using a BCI to interpret path…
  openalex Simon Little, A Pogosyan, Spencer Neal, Baltazar Zavala 等 2013-07-12 置信度 0.72 Deep brain stimulationSubthalamic nucleusStimulationParkinson's diseaseNeuromodulation
• Allen Brain Atlas: an integrated spatio-temporal portal for exploring the central nervous system
  The Allen Brain Atlas (http://www.brain-map.org) provides a unique online public resource integrating extensive gene expression data, connectivity data and neuroanatomical information with powerful search and viewing tools for the adult and developing brain in…
  openalex Susan M. Sunkin, Lydia Ng, Chris Lau, Tim Dolbeare 等 2012-11-27 置信度 0.72 Atlas (anatomy)Brain atlasBiologySoftwareComputer science
• Overlap and refractory effects in a brain–computer interface speller based on the visual P300 event-related potential
  We reveal the presence of refractory and overlap effects in the event-related potentials in visual P300 speller datasets, and we show their negative impact on the performance of the system. This finding has important implications for how to encode the letters …
  openalex Suzanne Martens, N. Jeremy Hill, Jason Farquhar, Bernhard Schölkopf 2009-03-02 置信度 0.72 Brain–computer interfaceEvent-related potentialStimulus (psychology)Computer scienceENCODE
• A common polymorphism in the brain‐derived neurotrophic factor gene ( BDNF ) modulates human cortical plasticity and the response to rTMS
  The brain-derived neurotrophic factor gene (BDNF) is one of many genes thought to influence synaptic plasticity in the adult brain and shows a common single nucleotide polymorphism (BDNF Val66Met) in the normal population that is associated with differences in…
  openalex Binith Cheeran, Penelope Talelli, Francesco Mori, Giacomo Koch 等 2008-10-09 置信度 0.72 NeuroscienceTranscranial magnetic stimulationNeurotrophic factorsNeuroplasticityMotor cortex
• Adaptive asynchronous control system of robotic arm based on augmented reality-assisted brain–computer interface
  Abstract Objective . Brain-controlled robotic arms have shown broad application prospects with the development of robotics, science and information decoding. However, disadvantages, such as poor flexibility restrict its wide application. Approach . In order to…
  openalex Lingling Chen, Pengfei Chen, Shaokai Zhao, Zhiguo Luo 等 2021-10-17 置信度 0.72 Brain–computer interfaceComputer scienceInterface (matter)Asynchronous communicationRobotic arm
• Cross-Subject Emotion Recognition Brain–Computer Interface Based on fNIRS and DBJNet
  Functional near-infrared spectroscopy (fNIRS) is a noninvasive brain imaging technique that has gradually been applied in emotion recognition research due to its advantages of high spatial resolution, real time, and convenience. However, the current research o…
  openalex Xiaopeng Si, He Huang, Jiayue Yu, Dong Ming 2023-01-01 置信度 0.72 Brain–computer interfaceSubject (documents)Interface (matter)Computer sciencePsychology
• The brain–artefact interface (BAI): a challenge for archaeology and cultural neuroscience
  Cultural neuroscience provides a new approach for understanding the impact of culture on the human brain (and vice versa) opening thus new avenues for cross-disciplinary collaboration with archaeology and anthropology. Finding new meaningful and productive uni…
  openalex Lambros Malafouris 2010-01-19 置信度 0.72 Bridge (graph theory)DisciplineCognitive scienceCultural neurosciencePsychology
• A comparison of optimal MIMO linear and nonlinear models for brain–machine interfaces
  The field of brain-machine interfaces requires the estimation of a mapping from spike trains collected in motor cortex areas to the hand kinematics of the behaving animal. This paper presents a systematic investigation of several linear (Wiener filter, LMS ada…
  openalex S.-P. Kim, Justin C. Sanchez, Y.N. Rao, Deniz Erdoğmuş 等 2006-05-16 置信度 0.72 Computer scienceNonlinear systemFilter (signal processing)Linear modelWiener filter
• An implantable wireless neural interface for recording cortical circuit dynamics in moving primates
  OBJECTIVE: Neural interface technology suitable for clinical translation has the potential to significantly impact the lives of amputees, spinal cord injury victims and those living with severe neuromotor disease. Such systems must be chronically safe, durable…
  openalex David A. Borton, Ming Yin, Juan Aceros, A. V. Nurmikko 2013-02-21 置信度 0.72 Brain–computer interfaceNeural ProsthesisComputer scienceNeural engineeringWireless
• Cultural neuroscience of the self: understanding the social grounding of the brain
  Cultural neuroscience is an interdisciplinary field of research that investigates interrelations among culture, mind and the brain. Drawing on both the growing body of scientific evidence on cultural variation in psychological processes and the recent developm…
  openalex Shinobu Kitayama, Jiyoung Park 2010-06-01 置信度 0.72 Cultural neuroscienceEmbodied cognitionSocial neurosciencePsychologyCognitive neuroscience
• Neural control of computer cursor velocity by decoding motor cortical spiking activity in humans with tetraplegia
  Computer-mediated connections between human motor cortical neurons and assistive devices promise to improve or restore lost function in people with paralysis. Recently, a pilot clinical study of an intracortical neural interface system demonstrated that a tetr…
  openalex Sung-Phil Kim, John D. Simeral, Leigh R. Hochberg, John P. Donoghue 等 2008-11-18 置信度 0.72 Brain–computer interfaceCursor (databases)Computer scienceDecoding methodsNeuroprosthetics
• Fast attainment of computer cursor control with noninvasively acquired brain signals
  Brain-computer interface (BCI) systems are allowing humans and non-human primates to drive prosthetic devices such as computer cursors and artificial arms with just their thoughts. Invasive BCI systems acquire neural signals with intracranial or subdural elect…
  openalex Trent J. Bradberry, Rodolphe J. Gentili, José L. Contreras-Vidal 2011-04-15 置信度 0.72 Brain–computer interfaceComputer scienceElectroencephalographyCursor (databases)Sensorimotor rhythm
• GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses
  Tremendous amount of RNA sequencing data have been produced by large consortium projects such as TCGA and GTEx, creating new opportunities for data mining and deeper understanding of gene functions. While certain existing web servers are valuable and widely us…
  openalex Zefang Tang, Chenwei Li, Chenwei Li, Boxi Kang 等 2017-04-05 置信度 0.72 Profiling (computer programming)BiologyFunctional genomicsGene expression profilingComputer science
• Neuronal Interleukin-4 as a Modulator of Microglial Pathways and Ischemic Brain Damage
  After ischemic stroke, various damage-associated molecules are released from the ischemic core and diffuse to the ischemic penumbra, activating microglia and promoting proinflammatory responses that may cause damage to the local tissue. Here we demonstrate usi…
  openalex Xiurong Zhao, H. Wang, Guanghua Sun, Jie Zhang 等 2015-08-12 置信度 0.72 NeuroscienceInterleukin 1βMicrogliaNeuronal damageInterleukin
• Can Children With Perinatal Stroke Use a Simple Brain Computer Interface?
  Background and Purpose: Perinatal stroke is the leading cause of hemiparetic cerebral palsy resulting in lifelong disability for millions of people worldwide. Options for motor rehabilitation are limited, especially for the most severely affected children. Bra…
  openalex Zeanna Jadavji, Jack Zhang, Brett Paffrath, Ephrem Zewdie 等 2021-05-27 置信度 0.72 MedicineStroke (engine)Brain–computer interfaceSimple (philosophy)Interface (matter)
• Evaluation of a wireless wearable tongue–computer interface by individuals with high-level spinal cord injuries
  The tongue drive system (TDS) is an unobtrusive, minimally invasive, wearable and wireless tongue-computer interface (TCI), which can infer its users' intentions, represented in their volitional tongue movements, by detecting the position of a small permanent …
  openalex Xueliang Huo, Maysam Ghovanloo 2010-03-23 置信度 0.72 WheelchairComputer scienceLaptopWearable computerBrain–computer interface
• An online brain–machine interface using decoding of movement direction from the human electrocorticogram
  A brain-machine interface (BMI) can be used to control movements of an artificial effector, e.g. movements of an arm prosthesis, by motor cortical signals that control the equivalent movements of the corresponding body part, e.g. arm movements. This approach h…
  openalex Tomislav Milekovic, Jörg Fischer, Tobias Pistohl, Johanna Ruescher 等 2012-06-19 置信度 0.72 ElectrocorticographyBrain–computer interfaceComputer scienceDecoding methodsInterface (matter)
• Steady-state visual evoked potential (SSVEP)-based communication: impact of harmonic frequency components
  Brain-computer interfaces (BCIs) can be realized on the basis of steady-state evoked potentials (SSEPs). These types of brain signals resulting from repetitive stimulation have the same fundamental frequency as the stimulation but also include higher harmonics…
  openalex Gernot Müller-Putz, Reinhold Scherer, Christian Brauneis, Gert Pfurtscheller 2005-10-25 置信度 0.72 HarmonicsBrain–computer interfaceHarmonicEvoked potentialVisual evoked potentials
• sw-SVM: sensor weighting support vector machines for EEG-based brain–computer interfaces
  In many machine learning applications, like brain-computer interfaces (BCI), high-dimensional sensor array data are available. Sensor measurements are often highly correlated and signal-to-noise ratio is not homogeneously spread across sensors. Thus, collected…
  openalex Nisrine Jrad, Marco Congedo, Ronald Phlypo, S. Rousseau 等 2011-08-05 置信度 0.72 Support vector machineComputer scienceWeightingBrain–computer interfaceArtificial intelligence
• Effort and Valuation in the Brain: The Effects of Anticipation and Execution
  Neural representations of the effort deployed in performing actions, and the valence of the outcomes they yield, form the foundation of action choice. To discover whether brain areas represent effort and outcome valence together or if they represent one but no…
  openalex Irma T. Kurniawan, Marc Guitart‐Masip, Peter Dayan, Raymond J. Dolan 2013-04-03 置信度 0.72 PsychologyPutamenAnticipation (artificial intelligence)Ventral striatumOutcome (game theory)
• Enhancing Nervous System Recovery through Neurobiologics, Neural Interface Training, and Neurorehabilitation
  After an initial period of recovery, human neurological injury has long been thought to be static. In order to improve quality of life for those suffering from stroke, spinal cord injury, or traumatic brain injury, researchers have been working to restore the …
  openalex Max Krucoff, Shervin Rahimpour, Marc W. Slutzky, V. Reggie Edgerton 等 2016-12-27 置信度 0.72 NeurorehabilitationInterface (matter)Brain–computer interfaceTraining (meteorology)Computer science
• Encoding of kinetic and kinematic movement parameters in the sensorimotor cortex: A Brain‐Computer Interface perspective
  For severely paralyzed people, Brain-Computer Interfaces (BCIs) can potentially replace lost motor output and provide a brain-based control signal for augmentative and alternative communication devices or neuroprosthetics. Many BCIs focus on neuronal signals a…
  openalex Mariana P. Branco, Lisanne M. de Boer, Nick F. Ramsey, Mariska J. Vansteensel 2019-01-11 置信度 0.72 NeuroprostheticsBrain–computer interfaceKinematicsMovement (music)Computer science
• Electrophysiological correlates of neurodegeneration in motor and non-motor brain regions in amyotrophic lateral sclerosis—implications for brain–computer interfacing
  OBJECTIVE: For patients with amyotrophic lateral sclerosis (ALS) who are suffering from severe communication or motor problems, brain-computer interfaces (BCIs) can improve the quality of life and patient autonomy. However, current BCI systems are not as widel…
  openalex Philipp Kellmeyer, Moritz Grosse‐Wentrup, Andreas Schulze‐Bonhage, Ulf Ziemann 等 2018-04-20 置信度 0.72 Amyotrophic lateral sclerosisNeuroscienceElectrophysiologyNeurodegenerationElectroencephalography
• Suppressing flashes of items surrounding targets during calibration of a P300-based brain–computer interface improves performance
  Since the introduction of the P300 brain-computer interface (BCI) speller by Farwell and Donchin in 1988, the speed and accuracy of the system has been significantly improved. Larger electrode montages and various signal processing techniques are responsible f…
  openalex G. E. Frye, Christopher K. Hauser, George Townsend, Eric W. Sellers 2011-03-24 置信度 0.72 Brain–computer interfaceCalibrationComputer scienceInterface (matter)Human–computer interaction
• Dose dependent reduction of glucose utilization by pentobarbital in rat brain.
  A new method of determining the rate of glucose utilization in brain regions of individual rats has been used to measure the dose dependency of the reduction of the metabolic activity of the cerebral cortex by pentobarbital. Cerebral cortical glucose utilizati…
  openalex Paul D. Crane, Leon D. Braun, Eain M. Cornford, J. E. Cremer 等 1978-01-01 置信度 0.72 PentobarbitalBarbiturateMedicineCerebral cortexAnesthesia
• A multi-day and multi-band dataset for a steady-state visual-evoked potential–based brain-computer interface
  BACKGROUND: A steady-state visual-evoked potential (SSVEP) is a brain response to visual stimuli modulated at certain frequencies; it has been widely used in electroencephalography (EEG)-based brain-computer interface research. However, there are few published…
  openalex Ga-Young Choi, Chang Hee Han, Young–Jin Jung, Han-Jeong Hwang 2019-11-01 置信度 0.72 Brain–computer interfaceElectroencephalographyComputer scienceInterface (matter)Evoked potential
• Special issue containing contributions from the Fourth International Brain–Computer Interface Meeting
  This special issue of Journal of Neural Engineering is a result of the Fourth International Brain–Computer Interface Meeting, which was held at the Asilomar Conference Center in Monterey, California, USA from 31 May to 4 June, 2010. The meeting was sponsored b…
  openalex Theresa M. Vaughan, Jonathan R. Wolpaw 2011-03-24 置信度 0.72 SophisticationLibrary scienceDiversity (politics)Interface (matter)Research center
• Temporal and Spatial Features of Single-Trial EEG for Brain-Computer Interface
  Brain-computer interface (BCI) systems create a novel communication channel from the brain to an output device bypassing conventional motor output pathways of nerves and muscles. Modern BCI technology is essentially based on techniques for the classification o…
  openalex Qibin Zhao, Liqing Zhang 2007-01-01 置信度 0.72 Brain–computer interfaceComputer scienceDiscriminative modelElectroencephalographyMotor imagery
• Clinical and genetic distinction between Walker–Warburg syndrome and muscle–eye–brain disease
  BACKGROUND: Three rare autosomal recessive disorders share the combination of congenital muscular dystrophy and brain malformations including a neuronal migration defect: muscle-eye-brain disease (MEB), Walker-Warburg syndrome (WWS), and Fukuyama congenital mu…
  openalex Bru Cormand, Helena Pihko, Mónica Bayés, Leena Valanne 等 2001-04-24 置信度 0.72 Locus (genetics)Muscular dystrophyCongenital muscular dystrophyGenetic linkageAllele
• Neural Plasticity in Sensorimotor Brain–Machine Interfaces
  Brain-machine interfaces (BMIs) aim to treat sensorimotor neurological disorders by creating artificial motor and/or sensory pathways. Introducing artificial pathways creates new relationships between sensory input and motor output, which the brain must learn …
  openalex Maria C. Dadarlat, Ryan A. Canfield, Amy L. Orsborn 2023-02-28 置信度 0.72 Sensory systemNeuroscienceNeuroplasticitySensationBrain–computer interface
• Culture and Computer-Mediated Communication: Toward New Understandings
  This collection of articles was originally inspired by several presentations at CATaC’041 and subsequent critical discussion of their use of the frameworks for cultural analyses developed by Edward T. Hall (1966, 1976) and Gert Hofstede (e.g., 1980, 1991). In …
  openalex Charles Ess, Fay Sudweeks 2005-11-01 置信度 0.72 Section (typography)Hofstede's cultural dimensions theorySociologyComputer-mediated communicationEpistemology
• Automatic stimuli classification from ERP data for augmented communication via Brain–Computer Interfaces
  openalex Jessica Leoni, Silvia Strada, Silvia Strada, Mara Tanelli 等 2021-07-10 置信度 0.72 Computer scienceWearable computerNoveltyBrain–computer interfaceArtificial intelligence
• The Age of Neuroergonomics: Towards Ubiquitous and Continuous Measurement of Brain Function with fNIRS
  Abstract Neuroergonomics is an emerging field that investigates the human brain in relation to behavioral performance in natural environments and everyday settings. Functional near‐infrared spectroscopy (fNIRS), a noninvasive brain‐monitoring technology that r…
  openalex Adrian Curtin, Hasan Ayaz 2018-08-29 置信度 0.72 CognitionFunctional near-infrared spectroscopyNeuroimagingPerceptionWearable computer
• Integrated device for optical stimulation and spatiotemporal electrical recording of neural activity in light-sensitized brain tissue
  Neural stimulation with high spatial and temporal precision is desirable both for studying the real-time dynamics of neural networks and for prospective clinical treatment of neurological diseases. Optical stimulation of genetically targeted neurons expressing…
  openalex Jiayi Zhang, Farah Laiwalla, Jennifer A. Kim, Hayato Urabe 等 2009-09-01 置信度 0.72 OptodeOptogeneticsElectrophysiologyOptical recordingStimulation
• Maturation of Sensori-Motor Functional Responses in the Preterm Brain
  Preterm birth engenders an increased risk of conditions like cerebral palsy and therefore this time may be crucial for the brain's developing sensori-motor system. However, little is known about how cortical sensori-motor function matures at this time, whether…
  openalex Alessandro Allievi, Tomoki Arichi, Nora Tusor, Jessica Kimpton 等 2015-10-21 置信度 0.72 NeuroscienceMedicineMotor activityPsychologyAudiology
• Runaway brain‐culture coevolution as a reason for larger brains: Exploring the “cultural drive” hypothesis by computer modeling
  Scale and tempo of brain expansion in the course of human evolution implies that this process was driven by a positive feedback. The "cultural drive" hypothesis suggests a possible mechanism for the runaway brain-culture coevolution wherein high-fidelity socia…
  openalex А. В. Марков, М. А. Марков 2020-05-20 置信度 0.72 CoevolutionPopulationCognitive scienceSelection (genetic algorithm)Mechanism (biology)
• The Neuroscience Multi-Omic Archive: a BRAIN Initiative resource for single-cell transcriptomic and epigenomic data from the mammalian brain
  Scalable technologies to sequence the transcriptomes and epigenomes of single cells are transforming our understanding of cell types and cell states. The Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative Cell Census Network (BICC…
  openalex Seth A. Ament, Ricky S. Adkins, Robert Carter, Elena Chrysostomou 等 2022-11-01 置信度 0.72 EpigenomicsEpigenomeBiologyNeuroinformaticsData curation
• Prospects for microbeam radiation therapy of brain tumours in children to reduce neurological sequelae
  Microbeam radiation therapy (MRT), a form of experimental radiosurgery of tumours using multiple parallel, planar, micrometres-wide, synchrotron-generated X-ray beams ('microbeams'), can safely deliver radiation doses to contiguous normal animal tissues that a…
  openalex JA Laissue, H. Blattmann, Hans-Peter Wagner, Michael A. Grotzer 等 2007-07-16 置信度 0.72 WigglerMicrobeamRadiosurgeryNuclear medicineRadiation therapy
• Decoding flexion of individual fingers using electrocorticographic signals in humans
  Brain signals can provide the basis for a non-muscular communication and control system, a brain-computer interface (BCI), for people with motor disabilities. A common approach to creating BCI devices is to decode kinematic parameters of movements using signal…
  openalex Jan Kubanek, Kai J. Miller, Jeffrey G. Ojemann, Jonathan R. Wolpaw 等 2009-10-01 置信度 0.72 Brain–computer interfaceElectrocorticographyComputer scienceKinematicsDecoding methods
• Using Noninvasive Brain Measurement to Explore the Psychological Effects of Computer Malfunctions on Users during Human-Computer Interactions
  In today’s technologically driven world, there is a need to better understand the ways that common computer malfunctions affect computer users. These malfunctions may have measurable influences on computer user’s cognitive, emotional, and behavioral responses.…
  openalex Leanne Hirshfield, Philip Bobko, Alex J. Barelka, Stuart Hirshfield 等 2014-01-01 置信度 0.72 CognitionHuman–computer interactionAffect (linguistics)Session (web analytics)Computer science
• A public data hub for benchmarking common brain–computer interface algorithms
  Methods of statistical machine learning have recently proven to be very useful in contemporary brain-computer interface (BCI) research based on the discrimination of electroencephalogram (EEG) patterns. Because of this, many research groups develop new algorit…
  openalex Thorsten O. Zander, Klas Ihme, Matti Gärtner, Matthias Rötting 2011-03-24 置信度 0.72 BenchmarkingComputer scienceBrain–computer interfaceUploadTask (project management)
• Editorial: Sensing and control for efficient human-robot collaboration.
  pubmed Jing Luo, Chao Zeng, Zhenyu Lu, Wen Qi 等 2024 置信度 0.82
• Recurrent neural network for trajectory tracking control of manipulator with unknown mass matrix.
  Real-world robotic operations often face uncertainties that can impede accurate control of manipulators. This study proposes a recurrent neural network (RNN) combining kinematic and dynamic models to address this issue. Assuming an unknown mass matrix, the pro…
  europepmc 2024 置信度 0.80
• A light-driven device for neuromorphic computing.
  A unique optoelectronic synaptic device has been developed, leveraging the negative photoconductance property of a single-crystal material system called Cs 2 CoCl 4 . This device exhibits a simultaneous volatile resistive switching response and sensitivity to …
  europepmc 2025 置信度 0.80
• Latent space improved masked reconstruction model for human skeleton-based action recognition.
  Human skeleton-based action recognition is an important task in the field of computer vision. In recent years, masked autoencoder (MAE) has been used in various fields due to its powerful self-supervised learning ability and has achieved good results in masked…
  europepmc 2025 置信度 0.80
• Motion control and singular perturbation algorithms for lower limb rehabilitation robots.
  To better assist patients with lower limb injuries in their rehabilitation training, this paper focuses on motion control and singular perturbation algorithms and their practical applications. First, the paper conducts an in-depth analysis of the mechanical st…
  europepmc 2025 置信度 0.80
• The Preservation of the Therapeutic Efficacy of the Secretome of Adipose Mesenchymal Stem Cells, Produced in the Presence of Antioxidant and Anti-Inflammatory Drugs.
  Background/Objectives: Inflammatory processes, both acute and chronic, encompass a wide range of autoimmune, metabolic, and neurodegenerative conditions. Conventional treatments, primarily anti-inflammatories and immunosuppressants, provide partial relief but …
  europepmc 2025 置信度 0.80
• Corrigendum: Design of a SMA-based soft composite structure for wearable rehabilitation gloves.
  [This corrects the article DOI: 10.3389/fnbot.2023.1047493.].
  pubmed Xie Q, Meng Q, Yu W, Wu Z 等 2023 置信度 0.82
• Biomimetics and bioinspired surfaces: from nature to theory and applications.
  europepmc 2025 置信度 0.80
• A simple robot suggests trunk rotation is essential for emergence of inside leading limb during quadruped galloping turns.
  During turning maneuvers in the galloping gait of quadruped animals, a strong relationship exists between the turning direction and the sequence in which the forelimbs make ground contact: the outer forelimb acts as the "trailing limb" while the inner forelimb…
  europepmc 2025 置信度 0.80
• Medium density EMG armband for gesture recognition.
  Electromyography (EMG) systems are essential for the advancement of neuroprosthetics and human-machine interfaces. However, the gap between low-density and high-density systems poses challenges to researchers in experiment design and knowledge transfer. Medium…
  europepmc Eisa Aghchehli, Milad Jabbari, Chenfei Ma, Matthew Dyson 等 2025 置信度 0.80
• Adaptive-expert-weight-based load balance scheme for dynamic routing of MoE.
  Load imbalance is a major performance bottleneck in training mixture-of-experts (MoE) models, as unbalanced expert loads can lead to routing collapse. Most existing approaches address this issue by introducing auxiliary loss functions to balance the load; howe…
  europepmc 2025 置信度 0.80
• Corrigendum: Small target detection with remote sensing images based on an improved YOLOv5 algorithm.
  [This corrects the article DOI: 10.3389/fnbot.2022.1074862.].
  pubmed Wenjing Pei, Zhanhao Shi, Kai Gong, Pei W 等 2023 置信度 0.82
• Hybrid learning mechanisms under a neural control network for various walking speed generation of a quadruped robot.
  Legged robots that can instantly change motor patterns at different walking speeds are useful and can accomplish various tasks efficiently. However, state-of-the-art control methods either are difficult to develop or require long training times. In this study,…
  pubmed Zhang Y, Thor M, Dilokthanakul N, Dai Z 等 2023 置信度 0.82
• Editorial: Intelligent control and applications for robotics, volume II.
  pubmed Yimin Zhou, Zhou Y 2023 置信度 0.82
• Erratum: Building effective machine learning models for ankle joint power estimation during walking using FMG sensors.
  [This corrects the article DOI: 10.3389/fnbot.2022.836779.].
  pubmed Frontiers Production Office 2023 置信度 0.82
• Ovonic threshold switching-based artificial afferent neurons for thermal in-sensor computing.
  Artificial afferent neurons in the sensory nervous system inspired by biology have enormous potential for efficiently perceiving and processing environmental information. However, the previously reported artificial afferent neurons suffer from two prominent ch…
  pubmed Kai Li, Jiaping Yao, Peng Zhao, Yunhao Luo 等 2024 置信度 0.82 AfferentMaterials scienceThermalOptoelectronicsNeuroscience