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• Electrophysiological approaches to informing therapeutic interventions with deep brain stimulation
  Neuromodulation therapy comprises a range of non-destructive and adjustable methods for modulating neural activity using electrical stimulations, chemical agents, or mechanical interventions. Here, we discuss how electrophysiological brain recording and imagin…
  openalex Atefeh Asadi, Alex I. Wiesman, Christoph Wiest, Sylvain Baillet 等 2025-01-20 置信度 0.72 Deep brain stimulationNeuromodulationNeuroscienceElectrophysiologyStimulation
• A Survey on Metaverse: the State-of-the-art, Technologies, Applications, and Challenges
  Metaverse is a new type of Internet application and social form that integrates a variety of new technologies. It has the characteristics of multi-technology, sociality, and hyper spatiotemporality. This paper introduces the development status of Metaverse, fr…
  openalex Huansheng Ning, Hang Wang, Yujia Lin, Wenxi Wang 等 2021-11-18 置信度 0.72 MetaverseVariety (cybernetics)Computer scienceSocial worldsVirtual reality
• The Exciting Frontier of Neuroplasticity: Innovations in Brain Health and Recovery
  Neuroplasticity is the brain’s ability to reshape itself by constructing new neural connections throughout life, enabling adaptation to change, learning new information, and recovering from injuries. Neuroplasticity mechanisms underline a range of neurologic a…
  openalex Rishabh Saha 2025-01-01 置信度 0.72 NeuroplasticityFrontierPsychologyNeuroscienceCognitive science
• Biometric applications in education
  openalex Marcela Hernández-de-Menéndez, Rubén Morales-Menéndez, Carlos A. Escobar, Jorge Arinez 2021-07-28 置信度 0.72 BiometricsComputer scienceAnalyticsAuthentication (law)Data science
• Cortical Excitability and Connectivity in Patients With Brain Tumors
  Background: Brain tumors can cause different changes in excitation and inhibition at the neuronal network level. These changes can be generated from mechanical and cellular alterations, often manifesting clinically as seizures. Objective/Hypothesis: The effect…
  openalex Vincenzo Rizzo, Carmen Terranova, Giovanni Raffa, Salvatore Cardali 等 2021-08-26 置信度 0.72 Transcranial magnetic stimulationPrecentral gyrusNeuroscienceMotor cortexSilent period
• Motor Imagery Classification Using Inter-Task Transfer Learning via a Channel-Wise Variational Autoencoder-Based Convolutional Neural Network
  Highly sophisticated control based on a brain-computer interface (BCI) requires decoding kinematic information from brain signals. The forearm is a region of the upper limb that is often used in everyday life, but intuitive movements within the same limb have …
  openalex Do-Yeun Lee, Ji-Hoon Jeong, Byeong-Hoo Lee, Seong–Whan Lee 2022-01-01 置信度 0.72 AutoencoderBrain–computer interfaceMotor imageryComputer scienceDecoding methods
• Beware of metacognitive laziness: Effects of generative artificial intelligence on learning motivation, processes, and performance
  Abstract With the continuous development of technological and educational innovation, learners nowadays can obtain a variety of supports from agents such as teachers, peers, education technologies, and recently, generative artificial intelligence such as ChatG…
  openalex Yizhou Fan, Luzhen Tang, Huixiao Le, Kejie Shen 等 2024-12-10 置信度 0.72 MetacognitionArtificial intelligenceTask (project management)LazinessComputer science
• Methodological Considerations for Neuroimaging in Deep Brain Stimulation of the Subthalamic Nucleus in Parkinson’s Disease Patients
  Deep brain stimulation (DBS) of the subthalamic nucleus is a neurosurgical intervention for Parkinson's disease patients who no longer appropriately respond to drug treatments. A small fraction of patients will fail to respond to DBS, develop psychiatric and c…
  openalex Bethany R. Isaacs, Max C. Keuken, Anneke Alkemade, Yasin Temel 等 2020-09-27 置信度 0.72 MedicineDeep brain stimulationSubthalamic nucleusNeuroimagingNeuroscience
• Facing the challenges of metaverse: a systematic literature review from Social Sciences and Marketing and Communication
  The metaverse is the conjunction and optimization of the possibilities of the Internet and technology at their best. It is a consequence of the development and evolution of digital society. Technological innovation, fundamentally oriented toward virtual realit…
  openalex Verónica Crespo-Pereira, Eva Sánchez-Amboage, Matías Membiela-Pollán 2023-01-03 置信度 0.72 MetaverseSocial worldsVariety (cybernetics)The InternetNarrative
• When embodiment matters most: a confirmatory study on VR priming in motor imagery brain-computer interfaces training
  Background: Virtual Reality (VR) feedback is increasingly integrated into Brain-Computer Interface (BCI) applications, enhancing the Sense of Embodiment (SoE) toward virtual avatars and fostering more vivid motor imagery (MI). VR-based MI-BCIs hold promise for…
  pubmed Daniela Esteves, Katarina Vagaja, Alexandre Andrade, Athanasios Vourvopoulos 等 2025 置信度 0.82 Embodied cognitionPsychologyCognitive psychologyMotor imageryPriming (agriculture)
• A Hybrid Brain Stroke Prediction Framework: Integrating Feature Selection, Classification, and Hyperparameter Optimization
  ABSTRACT Stroke is a leading cause of death and disability worldwide, requiring accurate and early prediction to ensure timely medical intervention. This study proposes a hybrid system that combines optimal feature selection and advanced classification techniq…
  openalex Mohammad Amin, Khalid M.O. Nahar, Hasan Gharaibeh, Rabia Emhamed Al Mamlook 等 2025-07-01 置信度 0.72 HyperparameterFeature selectionArtificial intelligenceSelection (genetic algorithm)Machine learning
• Brain–computer interface for simultaneous dual‐region spatial coding in hippocampal and somatosensory cortex of freely behaving rats
  Abstract Decoding of spatial information from place cells is currently limited to individual brain regions, severely constraining the understanding of the brain's spatial navigation mechanisms. In this study, synchronized detection of dual‐brain region spatial…
  openalex Ming Li, Wei Xu, Zhaojie Xu, Fan Mo 等 2024-09-01 置信度 0.72 Somatosensory systemHippocampal formationCoding (social sciences)NeuroscienceBrain–computer interface
• Automatic Calculation of Average Power in Electroencephalography Signals for Enhanced Detection of Brain Activity and Behavioral Patterns
  Precise analysis of electroencephalogram (EEG) signals is critical for advancing the understanding of neurological conditions and mapping brain activity. However, accurately visualizing brain regions and behavioral patterns from neural signals remains a signif…
  openalex Nuphar Avital, Nataniel Shulkin, Dror Malka 2025-05-14 置信度 0.72 ElectroencephalographyBrain activity and meditationPsychologyPower (physics)Neuroscience
• The MEG21 Unified Model for Modern Electronic Games of the 21st Century based on Electroencephalography-controlled Brain-Computer Interface
  The rapid advancement of Brain-Computer Interface (BCI) technology has facilitated its employment in non-clinical contexts, including games. Electroencephalography (EEG)-controlled games merge the benefits of both fields, as they can be employed in both seriou…
  openalex Gabriel Alves Mendes Vasiljevic, Leonardo Cunha de Miranda 2026-01-22 置信度 0.72 Computer scienceMerge (version control)Interface (matter)Representativeness heuristicHuman–computer interaction
• Mind, Machine, and Meaning: Cognitive Ergonomics and Adaptive Interfaces in the Age of Industry 5.0
  In the context of rapidly evolving industrial ecosystems, the human–machine interaction (HMI) has shifted from basic interface control toward complex, adaptive, and human-centered systems. This review explores the multidisciplinary foundations and technologica…
  openalex Andreea-Ruxandra Ioniță, Daniel-Constantin Anghel, Toufik Boudouh 2025-07-09 置信度 0.72 Meaning (existential)CognitionPsychologyComputer scienceEngineering
• The future vision of simulation in health care
  Simulation is a technique—not a technology—to replace or amplify real experiences with guided experiences that evoke or replicate substantial aspects of the real world in a fully interactive manner. The diverse applications of simulation in health care can be …
  openalex David M. Gaba 2004-10-01 置信度 0.72 IngenuityHealth careLiabilityMedicineRisk analysis (engineering)
• Examination of shape complementarity in docking ofUnbound proteins
  Here we carry out an examination of shape complementarity as a criterion in protein-protein docking and binding. Specifically, we examine the quality of shape complementarity as a critical determinant not only in the docking of 26 protein-protein "bound" compl…
  openalex Raquel Norel, Donald Petrey, Haim J. Wolfson, Ruth Nussinov 1999-08-15 置信度 0.72 Docking (animal)Complementarity (molecular biology)Computational biologyComputer scienceChemistry
• The Nature of External Representations in Problem Solving
  This article proposes a theoretical framework for external representation based problem solving. The Tic‐Tac‐Toe and its isomorphs are used to illustrate the procedures of the framework as a methodology and test the predictions of the framework as a functional…
  openalex Jiajie Zhang 1997-04-01 置信度 0.72 Representation (politics)PerceptionCognitionCognitive psychologyTask (project management)
• Advances in healthcare wearable devices
  Abstract Wearable devices have found numerous applications in healthcare ranging from physiological diseases, such as cardiovascular diseases, hypertension and muscle disorders to neurocognitive disorders, such as Parkinson’s disease, Alzheimer’s disease and o…
  openalex Sheikh Muhammad Asher Iqbal, Imad Mahgoub, E Du, Mary Ann Leavitt 等 2021-04-12 置信度 0.72 Wearable computerHealth careWearable technologyComputer scienceMedicine
• Computer-Aided Application in Medicine and Biomedicine
  Abstract Computer-aided applications in medicine and biomedicine drive the advancement of diagnostics, treatment, and research by leveraging data processing, analysis, and innovation. Computer technologies are used in medicine in imaging, diagnosis, storing an…
  openalex Qi-Ming Liao, Wahab Hussain, Zhong-Xia Liao, Sarfraz Hussain 等 2025-08-24 置信度 0.72 BiomedicineComputer scienceArtificial intelligenceBioinformaticsBiology
• Progress in the Development of CdTe and CdZnTe Semiconductor Radiation Detectors for Astrophysical and Medical Applications
  Over the last decade, cadmium telluride (CdTe) and cadmium zinc telluride (CdZnTe) wide band gap semiconductors have attracted increasing interest as X-ray and gamma ray detectors. Among the traditional high performance spectrometers based on silicon (Si) and …
  openalex S. Del Sordo, L. Abbene, E. Caroli, Anna Maria Mancini 等 2009-05-12 置信度 0.72 Cadmium telluride photovoltaicsCadmium zinc tellurideDetectorOptoelectronicsSemiconductor detector
• Active role of chondrocyte apoptosis in endochondral ossification
  Endochondral ossification involves an ordered progression from cell division through hypertrophic differentiation to cell death. The apoptotic nature of chondrocyte death was first suggested by characteristic changes in morphology; and more recently by the pat…
  openalex Gary Gibson 1998-10-15 置信度 0.72 Endochondral ossificationChondrocyteCell biologyApoptosisCartilage
• Multimodal neuroimaging computing: a review of the applications in neuropsychiatric disorders
  Multimodal neuroimaging is increasingly used in neuroscience research, as it overcomes the limitations of individual modalities. One of the most important applications of multimodal neuroimaging is the provision of vital diagnostic data for neuropsychiatric di…
  openalex Sidong Liu, Sidong Liu, Weidong Cai, Siqi Liu 等 2015-08-28 置信度 0.72 NeuroimagingModalitiesNeuroscienceFunctional neuroimagingNeuroinformatics
• Creativity, Critical Thinking, Communication, and Collaboration: Assessment, Certification, and Promotion of 21st Century Skills for the Future of Work and Education
  This article addresses educational challenges posed by the future of work, examining “21st century skills”, their conception, assessment, and valorization. It focuses in particular on key soft skill competencies known as the “4Cs”: creativity, critical thinkin…
  openalex Branden Thornhill-Miller, Anaëlle Camarda, Maxence Mercier, Jean‐Marie Burkhardt 等 2023-03-15 置信度 0.72 CreativityCertificationPromotion (chess)Critical thinkingWork (physics)
• Minding Rights: Mapping Ethical and Legal Foundations of ‘Neurorights’
  The rise of neurotechnologies, especially in combination with artificial intelligence (AI)-based methods for brain data analytics, has given rise to concerns around the protection of mental privacy, mental integrity and cognitive liberty - often framed as "neu…
  openalex Sjors Ligthart, Marcello Ienca, Gerben Meynen, Fruzsina Molnár-Gábor 等 2023-05-15 置信度 0.72 Political scienceLaw and economicsEngineering ethicsLawSociology
• The Workforce Task Force Report
  The American Academy of Neurology Workforce Task Force (WFTF) report predicts a future shortfall of neurologists in the United States. The WFTF data also suggest that for most states, the current demand for neurologist services already exceeds the supply, and …
  openalex William D. Freeman, Kenneth A. Vatz, Robert C. Griggs, Timothy A. Pedley 2013-06-20 置信度 0.72 WorkforceReimbursementMedicineHealth carePopulation
• Precision at Deep Brain: Noninvasive Temporal Interference Stimulation
  Temporal interference (TI) electrical stimulation is promising for noninvasive neuromodulation with the potential advantages of deep brain targeting. This technique uses high-frequency electric fields applied transcranially, which intersects within the brain t…
  openalex Shumao Xu, Han Cui, Xiao Xiao, Farid Manshaii 等 2025-11-13 置信度 0.72 NeuromodulationDeep brain stimulationNeuroscienceStimulationBrain stimulation
• Application of brain-computer interface technology in stroke rehabilitation from 2021 to 2025: a bibliometric analysis
  Objective To analyze the application trends and research hotspots of brain-computer interface (BCI) technology in stroke rehabilitation over the past five years. Methods Relevant literatures on the use of BCI in stroke rehabilitation published between January,…
  openalex Jiang Y, Kang Liang, CHU Jiahao, YANG Dan 等 2025-11-01 置信度 0.72 RehabilitationStroke (engine)Brain–computer interfaceVisualizationPhysical medicine and rehabilitation
• A Systematic Review of Trustworthy and Explainable AI Frameworks for Motor Imagery-Based Brain-Computer Interfaces in Robotic Control Systems
  This study focuses on the reliability, robustness, and explainability of Motor Imagery-based Brain-Computer Interfaces (MI-BCIs). MI-BCIs can control external devices through imagined movements and have promising applications in neurorehabilitation, assistive …
  openalex Aya A. Abdullah, Khamis A. Zidan, A. S. Albahri 2026-02-09 置信度 0.72 TrustworthinessReliability (semiconductor)Computer scienceControl (management)Human–computer interaction
• EEG-Based Motor BCIs for Upper Limb Movement: Current Techniques and Future Insights
  Motor brain-computer interface (BCI) refers to the BCI that decodes voluntary motion intentions from brain signals directly and outputs corresponding control commands without activating peripheral nerves and muscles. Motor BCIs can be used for the restoration,…
  openalex Jiarong Wang, Luzheng Bi, Weijie Fei 2023-01-01 置信度 0.72 Brain–computer interfaceNeurorehabilitationElectroencephalographyComputer scienceMotor control
• Neuronal responses in the human primary motor cortex coincide with the subjective onset of movement intention in brain–machine interface-mediated actions
  Self-initiated behavior is accompanied by the experience of intending our actions. Here, we leverage the unique opportunity to examine the full intentional chain-from intention to action to environmental effects-in a tetraplegic person outfitted with a primary…
  openalex Jean‐Paul Noel, Marcie Bockbrader, Tommaso Bertoni, Sam C. Colachis 等 2025-04-17 置信度 0.72 Primary motor cortexLeverage (statistics)NeuroscienceTranscranial magnetic stimulationMotor cortex
• Task fMRI paradigms may capture more behaviorally relevant information than resting-state functional connectivity
  Characterizing the optimal fMRI paradigms for detecting behaviorally relevant functional connectivity (FC) patterns is a critical step to furthering our knowledge of the neural basis of behavior. Previous studies suggested that FC patterns derived from task fM…
  openalex Weiqi Zhao, Carolina Makowski, Donald J. Hagler, Hugh Garavan 等 2023-02-16 置信度 0.72 Resting state fMRITask (project management)Generalizability theoryCognitionElementary cognitive task
• Neural technology and human augmentation: A bibliometric analysis of research evolution, emerging paradigms, and future trajectories based on 200 highly cited publications (2009–2025)
  This bibliometric survey examines 200 highly cited publications spanning from 2009 to 2025, retrieved from the Scopus database using the search strategy targeting neural technology and human augmentation. The analysis reveals a transformative evolution from fo…
  openalex Kouroush Jenab 2026-01-01 置信度 0.72 Transformative learningDeep learningData scienceComputer scienceArtificial intelligence
• Multiview learning for understanding functional multiomics
  The molecular mechanisms and functions in complex biological systems currently remain elusive. Recent high-throughput techniques, such as next-generation sequencing, have generated a wide variety of multiomics datasets that enable the identification of biologi…
  openalex Nam D. Nguyen, Daifeng Wang 2020-04-02 置信度 0.72 Computer scienceIdentification (biology)Artificial intelligenceData scienceMachine learning
• Clinical translation of ultrasoft Fleuron™ probes for stable, high-density, and bidirectional brain interfaces
  Building brain foundation models to capture the underpinning neural dynamics of human behavior requires large functional neural datasets for training, which current implantable Brain-Computer Interfaces (iBCIs) cannot achieve due to the instability of rigid ma…
  openalex Jongha Lee, Hyunsu Park, Andrew Spencer, Xian Gong 等 2025-04-25 置信度 0.72 Brain tissueBiomedical engineeringBrain–computer interfaceMaterials scienceComputer science
• A federated learning-based privacy-preserving image processing framework for brain tumor detection from CT scans
  The detection of brain tumors is crucial in medical imaging, because accurate and early diagnosis can have a positive effect on patients. Because traditional deep learning models store all their data together, they raise questions about privacy, complying with…
  openalex Abdullah Alsaleh, Ghanshyam G. Tejani, Shailendra Mishra, Sunil Kumar Sharma 等 2025-07-02 置信度 0.72 Computer scienceArtificial intelligencePython (programming language)Deep learningBenchmark (surveying)
• Digital anthropomorphism and the psychology of trust in generative AI tutors: an opinion-based thematic synthesis
  Methodological Approach This article is an opinion-based conceptual piece that draws on a targeted selection of peer-reviewed sources to develop a conceptual discussion on digital anthropomorphism in generative AI tutors. To ground our argument in current scho…
  openalex Binny Jose, Angel Thomas 2025-09-04 置信度 0.72 Generative grammarThematic mapPsychologyEducational psychologyThematic analysis
• Topological signatures of brain dynamics: persistent homology reveals individuality and brain–behavior links
  Introduction: Understanding individual differences in brain dynamics is a central goal in neuroscience. While conventional time series features capture signal properties of local brain regions, they often fail to reveal the deeper structure embedded in the bra…
  openalex Yue Wang, Junxing Xian, Yuanyuan Chen, Yan Yan 2025-05-30 置信度 0.72 Persistent homologyHomology (biology)Dynamics (music)BiologyTopology (electrical circuits)
• DeepAttNet: deep neural network incorporating cross-attention mechanism for subject-independent mental stress detection in passive brain–computer interfaces using bilateral ear-EEG
  Introduction Electroencephalography (EEG)-based mental stress detection has the potential to be applied in diverse real-world scenarios, including workplace safety, mental health monitoring, and human–computer interaction. However, most previous passive brain–…
  pubmed Wooseok Hyung, Minsu Kim, Yesung Kim, Chang‐Hwan Im 等 2025 置信度 0.82 Computer scienceMechanism (biology)ElectroencephalographyMental stressBrain–computer interface
• The TECo Database: Ecological and Technological Concepts at the Interface Between Abstractness and Concreteness
  Ecology and Technology are two keywords of the era we inhabit. Knowing how people represent these domains is essential to inform adequate interventions aimed at promoting conscious behaviors. Here we investigated this aspect by taking insights from the literat…
  openalex Ilenia Falcinelli, Chiara Fini, Claudia Mazzuca, Anna M. Borghi 2024-01-01 置信度 0.72 ConcretenessInterface (matter)DatabaseComputer scienceEcology
• Deep Learning and EEG Signal Based Biometric System: An Application of Brain Computer Interface
  User identification is explored through EEG-based biometric analysis using different auditory stimuli, using the distinctiveness and security of EEG signals for reliable biometric authentication. The impact on system performance due to different auditory stimu…
  crossref Chandan Kumar Sah, Mitul Kumar Ahirwal, Deepak Singh Tomar 2025-04-03T00:02:39Z 置信度 0.70
• Inner Speech Recognition for Mutism and Speech Disorder Using Brain-Computer Interface
  Brain-Computer Interface (BCI) systems can assist physically challenged people to interact with their surroundings and improve the quality of their lives. Decoding human thoughts is a powerful technique that can assist paralyzed people who have lost their spee…
  crossref Mokhles M. Abdulghani, Khalid H 2025-11-05T13:57:39Z 置信度 0.70
• Attention Management Through Brain-Computer Interface Supported Mind Games
  Nowadays, Brain-Computer Interfaces (BCIs) stand out as a technology that allows users to interact with technology more effectively and naturally using brain signals and are widely used in many different fields from education to entertainment. These systems, w…
  crossref Ardahan Aytan, Hatice Yağmur Aktaş, Kübra Erat, Pınar Onay Durdu 2025-10-30T17:57:40Z 置信度 0.70
• Transforming Individuals with Borderline Intellectual Functioning into Cognitively Augmented Workers: AI-Integrated Co-Adaptive, Closed-Loop Brain–Computer Interface
  Individuals with borderline intellectual functioning (BIF), defined by intelligence quotients (IQ) between 70 and 85, face persistent disadvantages in education, employment, and social participation. Brain–artificial intelligence interfaces (BAIs) are defined …
  crossref Hyunghun Kim 2025-12-18T04:28:55Z 置信度 0.70
• A VR Flight Game Using a β/α Ratio-based Active Brain Computer Interface
  This study proposes a VR flight control game using a β/α ratio-based active brain computer interface for speed control. We developed the system and conducted an experiment with 16 participants. All participants successfully operated the proposed BCI control ga…
  crossref Takanosuke Nakamura, Kengen Koshino, Ryota Horie 2025-09-16T17:32:00Z 置信度 0.70
• Is Gamification of Neurofeedback Training effective for ADHD treatment? A Systematic Review
  This systematic literature review examines the efficacy of gamification in neurofeedback (NF) therapy approaches for the treatment of Attention-Deficit/Hyperactivity Disorder (ADHD). In recent research, gamification of brain-computer interfaces (BCI) has been …
  crossref Henriette Kohnen, Paris Mavromoustakos-Blom, Maryam Alimardani 2025-03-28T02:29:03Z 置信度 0.70
• EEG Spectral Analysis in Gray Zone Between Healthy and Insomnia
  This study investigates the sleep characteristics and brain activity of individuals in the gray zone of insomnia, a population that experiences sleep disturbances yet does not fully meet the clinical criteria for chronic insomnia. Thirteen healthy participants…
  crossref Ha-Na Jo, Young-Seok Kweon, Seo-Hyun Lee 2025-03-28T02:29:03Z 置信度 0.70
• Activity Prediction for Localizing the Events in Imagined Speech EEG Signals
  Imagined speech electroencephalogram (EEG) signals are often collected for longer durations than necessary, leading to a difficulty in understanding the generation of EEG during the task as it is likely that most of the data collected is that of resting state.…
  crossref Arun Balasubramanian, Kartik Pandey, Gautam Veer, Debasis Samanta 2025-03-28T02:29:03Z 置信度 0.70
• Retraction notice: Electroencephalogram (EEG) signal classification for brain–computer interface using discrete wavelet transform (DWT)
  crossref 2024-08-20T11:19:25Z 置信度 0.70
• Brain-Computer Interface of Motor Imagery EEG Signal Using Hybrid GNN-Mamba Networks
  A Brain-Computer Interface (BCI) is a technology that enables a person to interact directly with an external device without relying on muscles, voice, or physical movement. One such intermediate device is the Electroencephalogram (EEG), which captures electric…
  crossref Bagja Iskandar Jamil, Esmeralda Contessa Djamal 2025-12-30T18:36:05Z 置信度 0.70
• A brain–computer-interface driven forearm exoskeleton with adaptive neuroregulation-based feedback for stroke rehabilitation
  Exoskeleton robots hold great promise for stroke rehabilitation with upper limb impairments. However, conventional motion-based exoskeletons often fall short by lacking brain-driven control, limiting user engagement, and providing insufficient support for moto…
  crossref Brad Wu 2025-10-15T14:23:49Z 置信度 0.70
• The Role of Brain Computer Interface in Regional Anesthesia
  crossref Ali Dabbagh 2025-05-25T16:10:51Z 置信度 0.70
• Introduction to MATLAB® for BCI Systems
  This chapter provides a comprehensive introduction to utilizing MATLAB® for Brain-Computer Interface (BCI) system development, detailing the necessary setup, programming fundamentals, and tool integration crucial for BCI projects. MATLAB®, with its robust tool…
  crossref Faridoddin Shariaty, Sanjiban Sekhar Roy 2025-05-23T11:21:24Z 置信度 0.70
• A Rapidly Deployable High-Performance Speech Neuroprosthesis
  crossref Nicholas S. Card, Maitreyee Wairagkar 2025-03-11T12:18:46Z 置信度 0.70
• Real-Time Brain State-Coupled Network-Targeted Transcranial Magnetic Stimulation to Enhance Working Memory
  crossref D. Blair Jovellar, Olivier Roy, Paolo Belardinelli, Ulf Ziemann 2025-03-11T12:19:53Z 置信度 0.70
• Multidisciplinary integration and application in Brain-Computer Interface (BCI) technology
  Brain–Computer Interface (BCI) technology embodies the deep integration of materials science, computer science, and medicine, offering a transformative pathway for neurorehabilitation, neurological disease treatment, and human–computer interaction. Advances in…
  crossref Zijie Feng 2025-12-19T11:15:57Z 置信度 0.70
• Current Development and Application Prospects of Brain-Computer Interface Technology
  Brain-Computer Interface (BCI) technology establishes a direct communication pathway between the human brain and external devices, bypassing conventional peripheral nerve and muscle outputs. This comprehensive review delineates the fundamental architecture, co…
  crossref Yifan Wang 2025-12-19T11:17:02Z 置信度 0.70
• Microstimulation-based path tracking control of pigeon robots through parameter adaptive strategy.
  Research on animal robots utilizing neural electrical stimulation is a significant focus within the field of neuro-control, though precise behavior control remains challenging. This study proposes a parameter-adaptive strategy to achieve accurate path tracking…
  pubmed Huang Y, Yang L, Yang L, Xu Z 等 2024 Oct 15 置信度 0.82
• Efficacy and Safety of Transcranial Direct Current Stimulation as an Add-On Trial Treatment for Acute Bipolar Depression Patients With Suicidal Ideation.
  Bipolar depression poses an overwhelming suicide risk. We aimed to examine the efficacy and safety of transcranial direct current stimulation (tDCS) combined with quetiapine in bipolar patients as a suicidal intervention.
  pubmed Wang D, Guo X, Huang Q, Wang Z 等 2024 Oct 置信度 0.82
• Joint hybrid recursive feature elimination based channel selection and ResGCN for cross session MI recognition.
  In the field of brain-computer interface (BCI) based on motor imagery (MI), multi-channel electroencephalography (EEG) data is commonly utilized for MI task recognition to achieve sensory compensation or precise human-computer interaction. However, individual …
  pubmed Li D, Li K, Xia Y, Dong J 等 2024 Oct 9 置信度 0.82
• Global motor dynamics - Invariant neural representations of motor behavior in distributed brain-wide recordings.
  Objective . Motor-related neural activity is more widespread than previously thought, as pervasive brain-wide neural correlates of motor behavior have been reported in various animal species. Brain-wide movement-related neural activity have been observed in in…
  pubmed Ottenhoff MC, Verwoert M, Goulis S, Wagner L 等 2024 Oct 21 置信度 0.82
• Human in the collaborative loop: a strategy for integrating human activity recognition and non-invasive brain-machine interfaces to control collaborative robots.
  Human activity recognition (HAR) and brain-machine interface (BMI) are two emerging technologies that can enhance human-robot collaboration (HRC) in domains such as industry or healthcare. HAR uses sensors or cameras to capture and analyze the movements and ac…
  pubmed Pilacinski A, Christ L, Boshoff M, Iossifidis I 等 2024 置信度 0.82
• A computational approach to selective attention in embodied approaches to cognitive archaeology.
  This article proposes a novel computational approach to embodied approaches in cognitive archaeology called computational cognitive archaeology (CCA). We argue that cognitive archaeology, understood as the study of the human mind based on archaeological findin…
  pubmed Constant A, Desirèe Di Paolo L, Guénin-Carlut A, M Martinez L 等 2024 Oct 置信度 0.82
• Development and safety of investigational and approved drugs targeting the RAS function regulation in RAS mutant cancers.
  The RAS gene family holds a central position in controlling key cellular activities such as migration, survival, metabolism, and other vital biological processes. The activation of RAS signaling cascades is instrumental in the development of various cancers. A…
  pubmed Li J, Wu W, Chen J, Xu Z 等 2024 Dec 1 置信度 0.82
• A new approach for neural decoding by inspiring of hyperdimensional computing for implantable intra-cortical BMIs.
  In the field of Brain Machine Interface (BMI), the process of translating motor intention into a machine command is denoted as decoding. However, despite recent advancements, decoding remains a formidable challenge within BMI. The utilization of current decodi…
  pubmed Katoozian D, Hosseini-Nejad H, Dehaqani MA 2024 Oct 7 置信度 0.82
• E-SAT: An extreme learning machine based self attention approach for decoding motor imagery EEG in subject-specific tasks.
  The advancements in Brain-Computer Interface (BCI) have substantially evolved people's lives by enabling direct communication between the human brain and external peripheral devices. In recent years, the integration of machine larning (ML) and deep learning (D…
  pubmed Abbasi MAA, Abbasi HF, Yu X, Aziz MZ 等 2024 Oct 7 置信度 0.82
• Feasibility and Safety of a Home-based Electroencephalogram Neurofeedback Intervention to Reduce Chronic Neuropathic Pain: A Cohort Clinical Trial.
  To evaluate the feasibility, safety, and potential health benefits of an 8-week home-based neurofeedback intervention.
  pubmed Sakel M, Saunders K, Ozolins C, Biswas R 2024 Sep 置信度 0.82
• Real-time detection of spoken speech from unlabeled ECoG signals: A pilot study with an ALS participant.
  Brain-Computer Interfaces (BCIs) hold significant promise for restoring communication in individuals with partial or complete loss of the ability to speak due to paralysis from amyotrophic lateral sclerosis (ALS), brainstem stroke, and other neurological disor…
  pubmed Angrick M, Luo S, Rabbani Q, Joshi S 等 2024 Sep 22 置信度 0.82
• Multifunctional human visual pathway-replicated hardware based on 2D materials.
  Artificial visual system empowered by 2D materials-based hardware simulates the functionalities of the human visual system, leading the forefront of artificial intelligence vision. However, retina-mimicked hardware that has not yet fully emulated the neural ci…
  pubmed Peng Z, Tong L, Shi W, Xu L 等 2024 Oct 5 置信度 0.82
• Posture-dependent modulation of marmoset cortical motor maps detected via rapid multichannel epidural stimulation.
  Recent neuroimaging and electrophysiological studies have suggested substantial short-term plasticity in the topographic maps of the primary motor cortex (M1). However, previous methods lack the temporal resolution to detect rapid modulation of these maps, par…
  pubmed Takemi M, Tia B, Kosugi A, Castagnola E 等 2024 Nov 12 置信度 0.82
• Differential Hemodynamic Responses to Motor and Tactile Imagery: Insights from Multichannel fNIRS Mapping.
  Tactile and motor imagery are crucial components of sensorimotor functioning and cognitive neuroscience research, yet the neural mechanisms of tactile imagery remain underexplored compared to motor imagery. This study employs multichannel functional near-infra…
  pubmed Miroshnikov A, Yakovlev L, Syrov N, Vasilyev A 等 2024 Oct 4 置信度 0.82
• United States sets the pace for implantable brain-computer interfaces.
  pubmed Drew L 2024 Oct 置信度 0.82
• Differences in Mu rhythm when seeing grasping/motor actions in a real context versus on screens.
  Mu rhythm (∼8-12 Hz) in the somatosensory cortex has traditionally been linked with doing and seeing motor activities. Here, we aimed to learn how the medium (physical or screened) in which motor actions are seen could impact on that specific brain…
  pubmed Andreu-Sánchez C, Martín-Pascual MÁ, Gruart A, Delgado-García JM 2024 Oct 2 置信度 0.82
• Clinical Applications and Future Translation of Somatosensory Neuroprostheses.
  Somatosensory neuroprostheses restore, replace, or enhance tactile and proprioceptive feedback for people with sensory impairments due to neurological disorders or injury. Somatosensory neuroprostheses typically couple sensor inputs from a wearable device, pro…
  pubmed Graczyk E, Hutchison B, Valle G, Bjanes D 等 2024 Oct 2 置信度 0.82
• Acquiring musculoskeletal skills with curriculum-based reinforcement learning.
  Efficient musculoskeletal simulators and powerful learning algorithms provide computational tools to tackle the grand challenge of understanding biological motor control. Our winning solution for the inaugural NeurIPS MyoChallenge leverages an approach mirrori…
  pubmed Chiappa AS, Tano P, Patel N, Ingster A 等 2024 Dec 4 置信度 0.82
• Effect of infusion direction on convection-enhanced drug delivery to anisotropic tissue.
  Convection-enhanced delivery (CED) can effectively overcome the blood-brain barrier by infusing drugs directly into diseased sites in the brain using a catheter, but its clinical performance still needs to be improved. This is strongly related to the highly an…
  pubmed Yang Y, Yuan T, Rodriguez Y Baena F, Dini D 等 2024 Oct 置信度 0.82
• Bioinspired Artificial Intelligent Nociceptive Alarm System Based on Fibrous Biomemristors.
  With the advancement of modern medical and brain-computer interface devices, flexible artificial nociceptors with tactile perception hold significant scientific importance and exhibit great potential in the fields of wearable electronic devices and biomimetic …
  pubmed Zhang Y, Xing H, Li J, Han F 等 2024 Oct 25 置信度 0.82
• Large scale investigation of the effect of gender on mu rhythm suppression in motor imagery brain-computer interfaces.
  The utmost issue in Motor Imagery Brain-Computer Interfaces (MI-BCI) is the BCI poor performance known as 'BCI inefficiency'. Although past research has attempted to find a solution by investigating factors influencing users' MI-BCI performance, the issue pers…
  pubmed von Groll VG, Leeuwis N, Rimbert S, Roc A 等 2024 置信度 0.82
• Clinical characterization and founder effect analysis in Chinese amyotrophic lateral sclerosis patients with SOD1 common variants.
  In the Asian population, SOD1 variants are the most common cause of amyotrophic lateral sclerosis (ALS). To date, more than 200 variants have been reported in SOD1 . This study aimed to summarize the genotype-phenotype correlation and determine whether the pat…
  pubmed Wang PS, Yang XX, Wei Q, Lv YT 等 2024 Dec 置信度 0.82
• Genotype-phenotype correlation and founder effect analysis in southeast Chinese patients with sialidosis type I.
  Sialidosis type 1 (ST-1) is a rare autosomal recessive disorder caused by mutation in the NEU1 gene. However, limited reports on ST-1 patients in the Chinese mainland are available.
  pubmed Du YC, Ma LH, Li QF, Ma Y 等 2024 Sep 30 置信度 0.82
• Brain-computer Interaction in the Smart Era.
  The brain-computer interface (BCI) system serves as a critical link between external output devices and the human brain. A monitored object's mental state, sensory cognition, and even higher cognition are reflected in its electroencephalography (EEG) signal. N…
  pubmed Yan ZN, Liu PR, Zhou H, Zhang JY 等 2024 Dec 置信度 0.82
• Few-shot Algorithms for Consistent Neural Decoding (FALCON) Benchmark.
  Intracortical brain-computer interfaces (iBCIs) can restore movement and communication abilities to individuals with paralysis by decoding their intended behavior from neural activity recorded with an implanted device. While this activity yields high-performan…
  pubmed Karpowicz BM, Ye J, Fan C, Tostado-Marcos P 等 2024 Oct 31 置信度 0.82
• IpsiHand Brain-Computer Interface Therapy Induces Broad Upper Extremity Motor Rehabilitation in Chronic Stroke.
  Chronic hemiparetic stroke patients have very limited benefits from current therapies. Brain-computer interface (BCI) engaging the unaffected hemisphere has emerged as a promising novel therapeutic approach for chronic stroke rehabilitation.
  pubmed Rustamov N, Souders L, Sheehan L, Carter A 等 2025 Jan 置信度 0.82
• Multi-source Selective Graph Domain Adaptation Network for cross-subject EEG emotion recognition.
  Affective brain-computer interface is an important part of realizing emotional human-computer interaction. However, existing objective individual differences among subjects significantly hinder the application of electroencephalography (EEG) emotion recognitio…
  pubmed Wang J, Ning X, Xu W, Li Y 等 2024 Dec 置信度 0.82
• Optimizing Real-Time MI-BCI Performance in Post-Stroke Patients: Impact of Time Window Duration on Classification Accuracy and Responsiveness.
  Brain-computer interfaces (BCIs) are promising tools for motor neurorehabilitation. Achieving a balance between classification accuracy and system responsiveness is crucial for real-time applications. This study aimed to assess how the duration of time windows…
  pubmed Miladinović A, Accardo A, Jarmolowska J, Marusic U 等 2024 Sep 22 置信度 0.82
• Enhancing EEG-Based MI-BCIs with Class-Specific and Subject-Specific Features Detected by Neural Manifold Analysis.
  This paper presents an innovative approach leveraging Neuronal Manifold Analysis of EEG data to identify specific time intervals for feature extraction, effectively capturing both class-specific and subject-specific characteristics. Different pipelines were co…
  pubmed Frosolone M, Prevete R, Ognibeni L, Giugliano S 等 2024 Sep 21 置信度 0.82
• Detection of Movement-Related Brain Activity Associated with Hand and Tongue Movements from Single-Trial Around-Ear EEG.
  Movement intentions of motor impaired individuals can be detected in laboratory settings via electroencephalography Brain-Computer Interfaces (EEG-BCIs) and used for motor rehabilitation and external system control. The real-world BCI use is limited by the cos…
  pubmed Gulyás D, Jochumsen M 2024 Sep 17 置信度 0.82
• A Spatio-Temporal Capsule Neural Network with Self-Correlation Routing for EEG Decoding of Semantic Concepts of Imagination and Perception Tasks.
  Decoding semantic concepts for imagination and perception tasks (SCIP) is important for rehabilitation medicine as well as cognitive neuroscience. Electroencephalogram (EEG) is commonly used in the relevant fields, because it is a low-cost noninvasive techniqu…
  pubmed Huang J, Chang Y, Li W, Tong J 等 2024 Sep 15 置信度 0.82
• Automatic Recognition of Multiple Emotional Classes from EEG Signals through the Use of Graph Theory and Convolutional Neural Networks.
  Emotion is a complex state caused by the functioning of the human brain in relation to various events, for which there is no scientific definition. Emotion recognition is traditionally conducted by psychologists and experts based on facial expressions-the trad…
  pubmed Mohajelin F, Sheykhivand S, Shabani A, Danishvar M 等 2024 Sep 10 置信度 0.82
• Intelligent Control System for Brain-Controlled Mobile Robot Using Self-Learning Neuro-Fuzzy Approach.
  Brain-computer interface (BCI) provides direct communication and control between the human brain and physical devices. It is achieved by converting EEG signals into control commands. Such interfaces have significantly improved the lives of disabled individuals…
  pubmed Razzaq Z, Brahimi N, Rehman HZU, Khan ZH 2024 Sep 10 置信度 0.82
• Comparison between Motor Performance of People with Multiple Sclerosis during a Virtual Reality Task Practiced on Concrete and Abstract Devices: A Cross-Sectional Randomized Study.
  Multiple sclerosis (MS) is an autoimmune demyelinating disease of the central nervous system with unknown etiology, resulting in various impairments that necessitate continuous rehabilitation to enhance functionality, quality of life, and motor function, inclu…
  pubmed Capelini CM, Ferrero GM, Canzonieri AM, Silva RP 等 2024 Sep 12 置信度 0.82
• Gamma-Band Auditory Steady-State Response and Attention: A Systemic Review.
  Auditory steady-state response (ASSR) is the result of the brain's ability to follow and entrain its oscillatory activity to the phase and frequency of periodic auditory stimulation. Gamma-band ASSR has been increasingly investigated with intentions to apply i…
  pubmed Matulyte G, Parciauskaite V, Bjekic J, Pipinis E 等 2024 Aug 26 置信度 0.82
• OS-SSVEP: One-shot SSVEP classification.
  It is extremely challenging to classify steady-state visual evoked potentials (SSVEPs) in scenarios characterized by a huge scarcity of calibration data where only one calibration trial is available for each stimulus target. To address this challenge, we intro…
  pubmed Deng Y, Ji Z, Wang Y, Zhou SK 2024 Dec 置信度 0.82
• Handwritten character classification from EEG through continuous kinematic decoding.
  The classification of handwritten letters from invasive neural signals has lately been subject of research to restore communication abilities in people with limited movement capacities. This study explores the classification of ten letters (a,d,e,f,j,n,o,s,t,v…
  pubmed Crell MR, Müller-Putz GR 2024 Nov 置信度 0.82
• Mechanically adaptive and deployable intracortical probes enable long-term neural electrophysiological recordings.
  Flexible intracortical probes offer important opportunities for stable neural interfaces by reducing chronic immune responses, but their advances usually come with challenges of difficult implantation and limited recording span. Here, we reported a mechanicall…
  pubmed Wang S, Jiang Q, Liu H, Yu C 等 2024 Oct 置信度 0.82
• Efficient Multi-View Graph Convolutional Network with Self-Attention for Multi-Class Motor Imagery Decoding.
  Research on electroencephalogram-based motor imagery (MI-EEG) can identify the limbs of subjects that generate motor imagination by decoding EEG signals, which is an important issue in the field of brain-computer interface (BCI). Existing deep-learning-based c…
  pubmed Tan X, Wang D, Xu M, Chen J 等 2024 Sep 15 置信度 0.82
• Emotion Recognition Using EEG Signals through the Design of a Dry Electrode Based on the Combination of Type 2 Fuzzy Sets and Deep Convolutional Graph Networks.
  Emotion is an intricate cognitive state that, when identified, can serve as a crucial component of the brain-computer interface. This study examines the identification of two categories of positive and negative emotions through the development and implementati…
  pubmed Mounesi Rad S, Danishvar S 2024 Sep 18 置信度 0.82
• Meeting the Needs of People With Severe Quadriplegia in the 21st Century: The Case for Implanted Brain-Computer Interfaces.
  In recent decades, there has been a widespread adoption of digital devices among the non-disabled population. The pervasive integration of digital devices has revolutionized how the majority of the population manages daily activities. Most of us now depend on …
  pubmed Sawyer A, Cooke L, Breyman E, Spohn S 等 2024 Dec 置信度 0.82
• Technical survey of end-to-end signal processing in BCIs using invasive MEAs.
  Modern brain-computer interfaces and neural implants allow interaction between the tissue, the user and the environment, where people suffer from neurodegenerative diseases or injuries.This interaction can be achieved by using penetrating/invasive microelectro…
  pubmed Erbslöh A, Buron L, Ur-Rehman Z, Musall S 等 2024 Oct 15 置信度 0.82
• Beyond neural data: Cognitive biometrics and mental privacy.
  Innovations in wearable technology and artificial intelligence have enabled consumer devices to process and transmit data about human mental states (cognitive, affective, and conative) through what this paper refers to as "cognitive biometrics." Devices such a…
  pubmed Magee P, Ienca M, Farahany N 2024 Sep 25 置信度 0.82