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• Editorial: Datasets for brain-computer interface applications, volume II
  However, research in BCI is continuously developing and there is a growing need for new publicly available datasets. Indeed, continuing development of BCI technology relies on advances made in many different research fields, which individually and collectively…
  openalex Ian Daly, Ana Matran‐Fernandez, Mikhail Lebedev, Andrea Kübler 等 2025-03-10 置信度 0.72 Volume (thermodynamics)Computer scienceBrain–computer interfaceInterface (matter)Brain size
• Nonlocal models in the analysis of brain neurodegenerative protein dynamics with application to Alzheimer’s disease
  It is well known that today nearly one in six of the world's population has to deal with neurodegenerative disorders. While a number of medical devices have been developed for the detection, prevention, and treatments of such disorders, some fundamentals of th…
  openalex Swadesh Pal, Roderick Melnik 2022-05-05 置信度 0.72 DiseaseNeuroscienceAlzheimer's diseaseDynamics (music)Computer science
• Modern Technologies Supporting Motor Rehabilitation After Stroke: A Narrative Review
  Introduction: Stroke remains one of the leading causes of long-term disability worldwide. Post-stroke motor recovery depends on neuroplasticity, which is stimulated by intensive, repetitive, and task-specific training. Modern technologies such as robotic rehab…
  pubmed Denis Moskiewicz, Iwona Sarzyńska‐Długosz, Moskiewicz D, Sarzyńska-Długosz I 2025 Nov 13 置信度 0.82 Functional electrical stimulationMedicineNarrative reviewRehabilitationPhysical medicine and rehabilitation
• Improved Domain Adaptation Network Based on Wasserstein Distance for Motor Imagery EEG Classification
  Motor Imagery (MI) paradigm is critical in neural rehabilitation and gaming. Advances in brain-computer interface (BCI) technology have facilitated the detection of MI from electroencephalogram (EEG). Previous studies have proposed various EEG-based classifica…
  openalex Qingshan She, Tie Chen, Feng Fang, Jianhai Zhang 等 2023-01-01 置信度 0.72 Computer scienceDiscriminatorArtificial intelligenceClassifier (UML)Brain–computer interface
• Associations between pre-cue parietal alpha oscillations and event related desynchronization in motor imagery-based brain-computer interface
  Introduction: Motor Imagery based brain-computer interfaces (MI-BCIs) offer a promising avenue for controlling external devices via neural signals generated through imagined movements. Despite their potential, the performance of MI-BCIs remains highly variable…
  openalex Mohamed A. Mohamed, Joshua W. Giles, Mashael AlSaleh, Mahnaz Arvaneh 2025-07-23 置信度 0.72 Brain–computer interfaceElectroencephalographyMotor imageryAlpha (finance)Psychology
• A Surgical Planning Pipeline for Human Implantable Brain-Computer Interfaces
  Abstract As implantable brain-computer interfaces (iBCIs) for communication and movement transition from cutting-edge research to clinical practice, a standardized approach will be required to reliably plan neurosurgeries involving complex microelectrode array…
  openalex Peter Hadar, J Li, Brian Coughlin, William Munoz 等 2026-02-03 置信度 0.72 Pipeline (software)Plan (archaeology)Computer scienceSystems engineeringEngineering
• Hierarchical multi-scale vision transformer model for accurate detection and classification of brain tumors in MRI-based medical imaging
  Automated brain tumor detection represents a fundamental challenge in contemporary medical imaging, demanding both precision and computational feasibility for practical implementation. This research introduces a novel Vision Transformer (ViT) framework that in…
  openalex C. Sankari, V. Jamuna, A.R. Kavitha 2025-10-31 置信度 0.72 Computer scienceArtificial intelligenceTransformerMachine learningSupport vector machine
• Brain-Computer Interface: A Revolutionary Technology Expanding the Frontiers of the Human Brain and the Future of Neurosurgery
  The brain-computer interface (BCI) is not merely an advanced technology but also represents a profound revolution spanning neuroscience, artificial intelligence, computer science, philosophy, and sociology. The core value of BCI lies in its ability to break th…
  openalex Zhao Ji-zong 2025-03-10 置信度 0.72 Human brainBrain–computer interfaceNeurosurgeryInterface (matter)Neuroscience
• Neurotechnology and Human-Machine Interfaces: Securing Brain-Computer Interfaces (BCIs) Against Hacking
  Brain-Computer Interfaces (BCIs) are developing as a promising technology in many areas, such as medical, military and consumer technology. Nevertheless, there are also serious security issues that involve the growing dependency on these technologies, especial…
  openalex Adedotun Lawrence Omotade 2025-07-30 置信度 0.72 Brain–computer interfaceHackerHuman–machine systemComputer scienceHuman–computer interaction
• Magnetic NeuroRing: a portable adaptive brain-computer interface for real-time transcranial magnetic stimulation in post-stroke motor rehabilitation
  Stroke often causes persistent upper limb and hand motor dysfunction due to disrupted neural reorganization. To address this, we developed the Magnetic NeuroRing: a portable brain-computer interface integrating real-time electroencephalogram (EEG) with closed-…
  pubmed Yurui Tang, Yuchun Wang, Weiqiang Zhang, Xiaohui Liu 等 2026 Jan 16 置信度 0.82 Transcranial magnetic stimulationCTBSNeuroplasticityNeuroscienceBrain–computer interface
• The Next Frontier in Brain Monitoring: A Comprehensive Look at In-Ear EEG Electrodes and Their Applications
  Electroencephalography (EEG) remains an essential method for monitoring brain activity, but the limitations of conventional systems due to the complexity of installation and lack of portability have led to the introduction and development of in-ear EEG technol…
  pubmed Alexandra Stefania Mihai, Oana Geman, Roxana Toderean, Lucas Miron 等 2025 May 25 置信度 0.82 ElectroencephalographyFrontierElectrodeComputer scienceEngineering
• Computational whole-body-exposome models for global precision brain health
  The worldwide rise of neurological and psychiatric conditions poses major challenges. However, current global research remains fragmented, dominated by limited cohorts and poorly integrated datasets that disconnect whole-body health, exposome, and brain health…
  openalex Agustín Ibáñez, Claudia Duran‐Aniotz, Joaquín Migeot, Sandra Báez 等 2025-12-11 置信度 0.72 Construct (python library)Computer scienceHeuristicPopulationComputational model
• FogBus: A Blockchain-based Lightweight Framework for Edge and Fog Computing
  openalex Shreshth Tuli, Redowan Mahmud, Shikhar Tuli, Rajkumar Buyya 2019-04-13 置信度 0.72 Computer scienceCloud computingEdge computingScalabilityDistributed computing
• Deep learning for object detection and scene perception in self-driving cars: Survey, challenges, and open issues
  This article presents a comprehensive survey of deep learning applications for object detection and scene perception in autonomous vehicles. Unlike existing review papers, we examine the theory underlying self-driving vehicles from deep learning perspective an…
  openalex Abhishek Gupta, Alagan Anpalagan, Ling Guan, Ahmed Shaharyar Khwaja 2021-02-23 置信度 0.72 Deep learningSelf drivingArtificial intelligenceComputer scienceObject detection
• Using Brain Waves and Computer Interface Technology as a Communication System
  ABSTRACT Introduction The existing methods for individual emergency alert systems often rely on physical or voice-based human intervention, which may not be practical or safe in certain emergency situations or for people with certain rare medical conditions or…
  openalex Nakshatra Piduri, Advaita Piduri, Arifa Haque, Hadiya Sameen 等 2024-11-14 置信度 0.72 Interface (matter)Brain–computer interfaceBrain wavesComputer scienceHuman–computer interaction
• Source-based neurofeedback methods using EEG recordings: training altered brain activity in a functional brain source derived from blind source separation
  A developing literature explores the use of neurofeedback in the treatment of a range of clinical conditions, particularly ADHD and epilepsy, whilst neurofeedback also provides an experimental tool for studying the functional significance of endogenous brain a…
  openalex David White, Marco Congedo, Joseph Ciorciari 2014-10-22 置信度 0.72 NeurofeedbackElectroencephalographyBrain activity and meditationBlind signal separationIndependent component analysis
• Development of a personalized learning trajectory using a brain-computer interface
  The object of research is electroencephalogram (EEG) signals obtained as a result of a non-invasive test that records the electrical activity of the brain by placing small sensors (electrodes) on the scalp. The article analyzes brain wave patterns to monitor a…
  openalex Huseyn Gasimov, Turkan Alibeyli, Hesen Hesenli, А.Е. Ismayilov 2025-10-30 置信度 0.72 MemorizationComputer scienceInterface (matter)ModalitiesProcess (computing)
• Human-in-the-loop machine learning: a state of the art
  Abstract Researchers are defining new types of interactions between humans and machine learning algorithms generically called human-in-the-loop machine learning. Depending on who is in control of the learning process, we can identify: active learning, in which…
  openalex Eduardo Mosqueira-Rey, Elena Hernández-Pereira, David Alonso-Ríos, José Bobes-Bascarán 等 2022-08-17 置信度 0.72 Computer scienceArtificial intelligenceMachine learningProcess (computing)Active learning (machine learning)
• Future of industry 5.0 in society: human-centric solutions, challenges and prospective research areas
  Industry 4.0 has been provided for the last 10 years to benefit the industry and the shortcomings; finally, the time for industry 5.0 has arrived. Smart factories are increasing the business productivity; therefore, industry 4.0 has limitations. In this paper,…
  openalex Amr Adel 2022-09-08 置信度 0.72 Industry 4.0ProductivityCloud computingBig dataIndustrial Revolution
• Linking brain–heart interactions to emotional arousal in immersive virtual reality
  The subjective experience of emotions is linked to the contextualized perception and appraisal of changes in bodily (e.g., heart) activity. Increased emotional arousal has been related to attenuated high-frequency heart rate variability (HF-HRV), lower EEG par…
  openalex Antonin Fourcade, Felix Klotzsche, S. Hofmann, Alberto Mariola 等 2024-10-14 置信度 0.72 ArousalElectroencephalographyPsychologyBrain activity and meditationHeart rate variability
• Adaptive Metabolic Responses Facilitate Blood‐Brain Barrier Repair in Ischemic Stroke via BHB‐Mediated Epigenetic Modification of ZO‐1 Expression
  Adaptive metabolic responses and innate metabolites hold promising therapeutic potential for stroke, while targeted interventions require a thorough understanding of underlying mechanisms. Adiposity is a noted modifiable metabolic risk factor for stroke, and r…
  openalex Ruijie Li, Yilin Liu, Jihao Wu, Xiong Chen 等 2024-04-26 置信度 0.72 KetogenesisKetone bodiesBlood–brain barrierLipolysisStroke (engine)
• Comparing MEG and EEG measurement set-ups for a brain–computer interface based on selective auditory attention
  Auditory attention modulates auditory evoked responses to target vs. non-target sounds in electro- and magnetoencephalographic (EEG/MEG) recordings. Employing whole-scalp MEG recordings and offline classification algorithms has been shown to enable high accuracy…
  openalex Dovilė Kurmanavičiūtė, Hanna Kataja, Lauri Parkkonen 2025-04-10 置信度 0.72 ElectroencephalographyBrain–computer interfaceSpeech recognitionMagnetoencephalographyComputer science
• Artificial intelligence in radiation oncology
  openalex Elizabeth Huynh, Ahmed Hosny, Christian V. Guthier, Danielle S. Bitterman 等 2020-08-25 置信度 0.72 Radiation oncologyMedical physicsMedicineOncologyComputer science
• Functional Nanomaterials for Advanced Bioelectrode Interfaces: Recent Advances in Disease Detection and Metabolic Monitoring
  As critical interfaces bridging biological systems and electronic devices, the performance of bioelectrodes directly determines the sensitivity, selectivity, and reliability of biosensors. Recent advancements in functional nanomaterials (e.g., carbon nanomater…
  openalex Junlong Ma, Siyi Yang, Zhi-Hao Yang, Ziliang He 等 2025-07-15 置信度 0.72 NanotechnologyNanomaterialsComputer scienceWearable computerSystems engineering
• Oscillatory Brain Activity in the Canonical Alpha-Band Conceals Distinct Mechanisms in Attention
  Brain oscillations in the alpha-band (8-14 Hz) have been linked to specific processes in attention and perception. In particular, decreases in posterior alpha-amplitude are thought to reflect activation of perceptually relevant brain areas for target engagemen…
  openalex Gabriela Cruz, María Melcón, Leonardo Sutandi, J. Matias Palva 等 2024-10-15 置信度 0.72 Alpha (finance)NeurosciencePsychologyCognitive psychologyAlpha rhythm
• Investigating the Efficacy of Brain-Computer Interfaces in Enhancing Cognitive Abilities for Direct Brain-to-Machine Communication
  Brain-Computer Interfaces (BCIs) are assistive technologies used to facilitate direct communication between the brain and external devices. This paper explores the potential of BCIs to enhance artificial cognitive abilities in systems and enable direct brain-t…
  openalex S. A. B. N. Jayasundera, Madusha Peiris, P. G. R. G. Rathnayake, A. D. K. H. Aluthge 等 2025-06-13 置信度 0.72 Brain–computer interfaceCognitionComputer scienceNeuroscienceHuman–computer interaction
• Integrated Exertion—Understanding the Design of Human–Computer Integration in an Exertion Context
  Human–computer interaction (HCI) is increasingly interested in supporting exertion experiences so more people can benefit from physical activity. So far, most systems have focused on sensing and presenting information to the user via screens to support the exe…
  openalex Josh Andrés, Nathan Semertzidis, Zhuying Li, Yan Wang 等 2022-05-10 置信度 0.72 ExertionContext (archaeology)Computer scienceHuman–computer interactionKnowledge management
• Carbon-based nanomaterials: interactions with cells, brain therapies, and neural sensing
  Abstract Carbon nanomaterials (CNMs) are characterized by their extensive surface area and extraordinary electronic, thermal, and chemical properties, offering an innovative potential for biomedical applications. The physicochemical properties of CNMs can be f…
  openalex Lorena Gárate-Vélez, Mildred Quintana 2025-02-21 置信度 0.72 NanomaterialsNeuroscienceNanotechnologyMaterials scienceBiology
• Brain-computer interfaces in neurorehabilitation for central nervous system diseases: Applications in stroke, multiple sclerosis and Parkinson's disease
  Brain-computer interfaces (BCIs) represent an innovative approach to neurorehabilitation for neurological conditions, particularly stroke, multiple sclerosis, and Parkinson's disease. This paper provides a comprehensive analysis of current BCI applications, te…
  openalex Sara Knežević 2025-01-01 置信度 0.72 NeurorehabilitationMultiple sclerosisStroke (engine)NeuroscienceParkinson's disease
• Evaluating the feeling of control in virtual object translation on 2D interfaces
  Abstract Computer-aided design (CAD) plays an essential role in creative idea generation on 2D screens during the design process. In most CAD scenarios, virtual object translation is an essential operation, and it is commonly used when designers simulate their…
  openalex Wenxin Sun, Mengjie Huang, Chenxin Wu, Rui Yang 等 2023-01-01 置信度 0.72 Computer scienceHuman–computer interactionObject (grammar)Task (project management)Process (computing)
• Assessment of the Peripheral Microcirculation Using Computer-Assisted Venous Congestion Plethysmography in Post-Traumatic Complex Regional Pain Syndrome Type I
  In complex regional pain syndrome type I (CRPS-I), edema of the affected limb is a common finding. Therefore, the changes in macro- and microcirculatory parameters were investigated to elucidate the underlying pathophysiology. Twenty-four patients with post-tr…
  openalex Matthias Schürmann, Johannes Zaspel, Georg Gradl, Alexander Wipfel 等 2001-01-01 置信度 0.72 MedicinePlethysmographForearmMicrocirculationPeripheral
• Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community
  In recent years, deep learning (DL), a rebranding of neural networks (NNs), has risen to the top in numerous areas, namely computer vision (CV), speech recognition, and natural language processing. Whereas remote sensing (RS) possesses a number of unique chall…
  openalex John E. Ball, Derek T. Anderson, Chee Seng Chan 2017-09-23 置信度 0.72 Deep learningComputer scienceData scienceFocus (optics)Field (mathematics)
• Source-Free Domain Adaptation for SSVEP-based Brain-Computer Interfaces
  Objective: SSVEP-based BCI spellers assist individuals experiencing speech difficulties by enabling them to communicate at a fast rate. However, achieving a high information transfer rate (ITR) in most prominent methods requires an extensive calibration period…
  openalex Osman Berke Güney, Deniz Kucukahmetler, Hüseyin Özkan 2023-05-27 置信度 0.72 Computer scienceBrain–computer interfaceAdaptation (eye)Benchmark (surveying)Interface (matter)
• Influence of language on perception and concept formation in a brain-constrained deep neural network model
  A neurobiologically constrained model of semantic learning in the human brain was used to simulate the acquisition of concrete and abstract concepts, either with or without verbal labels. Concept acquisition and semantic learning were simulated using Hebbian l…
  openalex Malte R. Henningsen‐Schomers, Max Garagnani, Friedemann Pulvermüller 2022-12-26 置信度 0.72 Concept learningPerceptionHebbian theoryConcretenessRepresentation (politics)
• Brain-inspired Computational Intelligence via Predictive Coding
  Artificial intelligence (AI) is rapidly becoming one of the key technologies of this century. The majority of results in AI thus far have been achieved using deep neural networks trained with a learning algorithm called error backpropagation, always considered…
  openalex Tommaso Salvatori, Ankur Mali, Christopher L. Buckley, Thomas Lukasiewicz 等 2023-08-15 置信度 0.72 Artificial intelligenceComputer scienceMachine learningArtificial neural networkRobustness (evolution)
• Toxicological concerns regarding glyphosate, its formulations, and co-formulants as environmental pollutants: a review of published studies from 2010 to 2025
  Over the last decade and worldwide, an enormous investment in research and data collection has been made in the hope of better understanding the possible ecological and toxicological impacts triggered by glyphosate (GLY). This broad-spectrum, systemic herbicid…
  openalex Szandra Klátyik, G. Simon, Eszter Takács, Marianna Oláh 等 2025-05-26 置信度 0.72 PollutantGlyphosatePesticideAgricultureAbiotic component
• Reward signals in the motor cortex: from biology to neurotechnology
  Over the past decade, research has shown that the primary motor cortex (M1), the brain’s main output for movement, also responds to rewards. These reward signals may shape motor output in its final stages, influencing movement invigoration and motor learning. …
  openalex Gérard Derosière, Solaiman Shokur, Pierre Vassiliadis 2025-02-03 置信度 0.72 NeurosciencePrimary motor cortexPerspective (graphical)Brain–computer interfaceMotor cortex
• Economic Modeling With Brain-Computer Interface-Controlled Data Systems
  This research explores the innovative integration of brain-computer interface (BCI) technology with economic modelling to enhance data acquisition and analysis. By leveraging BCI systems, the authors aim to capture and interpret neural signals related to econo…
  crossref Sakthitharan Subramanian, S. Suresh Kumar, Navruzbek Shavkatov, Abdullah Abed Hussein 等 2025-05-14T13:56:44Z 置信度 0.70
• Brain-Computer Interface Research
  crossref 2025-03-11T12:18:46Z 置信度 0.70
• Closed-Loop Brain-Computer Interface (BCI) Training for Hemiparetic Upper Extremity in Patients with Chronic Stroke: A Randomized control study
  crossref Kenneth N.K. Fong, Jiaqi Zhang, Pablo Cruz Gonzalez 2025-02-25T05:37:36Z 置信度 0.70
• Advances in brain-computer interface controlled functional electrical stimulation for upper limb recovery after stroke
  Stroke often results in varying degrees of functional impairment, significantly affecting patients' quality of daily life. In recent years, brain-computer interface-controlled functional electrical stimulation has offered new therapeutic approaches for post-st…
  crossref Yidan Zhang, Yuling Gao, Jiaqi Zhou, Zhenni Zhang 等 2025-04-23T12:01:12Z 置信度 0.70
• Advancements in Nanomaterial-Based Brain-Computer Interface Electrodes
  Brain-Computer Interfaces (BCIs) enable direct communication between the brain and external devices, but their performance heavily depends on the quality of the electrodes. Traditional materials, such as gold and platinum, offer high conductivity but often str…
  crossref Renxuan Zhao 2025-02-19T15:20:32Z 置信度 0.70
• A second-generation non-invasive brain–computer interface (BCI) design for wheelchair control
  A hands-free, wearable brain–computer interface (BCI) with fault tolerance is proposed for individuals with quadriplegia, enabling safe wheelchair control. It anticipates operational failures with fault-recovery methods to mitigate catastrophic outcomes. A mul…
  crossref Nicoladie D. Tam 2025-06-25T10:22:52Z 置信度 0.70
• A Study on hot ethical issues of brain-computer interface in multiple application scenarios
  As a transformative human-machine interaction technology, brain-computer interface (BCI) is emerging as a strategic frontier in future industries and technological competition among major global powers. China's 14th Five-Year Plan designates brain science and …
  crossref Yunrui Zheng, Ting Xia 2025-06-18T06:08:32Z 置信度 0.70
• Real-Time Electronic Circuit Control via Brain-Computer Interface With Machine Learning
  The purpose of this investigation is to investigate the possibility of achieving with machine instruction algorithms. By utilizing neural impulses, brain-computer interface (BCI) technologies make it possible for the human brain to communicate directly with th…
  crossref K. P. Manikandan, D. Aarthi, Sanjit Das, R. Manikandan 等 2025-05-14T13:56:44Z 置信度 0.70
• Cognitive Computing in Education Using Brain-Computer Interface
  The use of cognitive computing in educational settings, which is made feasible by the technology known as brain-computer interface software (BCI), is an inventive way to enhance learning environments. To integrate cognitive computing techniques and create more…
  crossref Deepali Virmani, L. Priyadharshini, Rajesh Tanna, Ahmad Y. A. Bani Ahmad 等 2025-05-14T13:56:44Z 置信度 0.70
• Design and Implementation of a Virtual Keyboard using Brain-Computer Interface
  Brain-Computer Interfaces (BCIs) have opened new doors for individuals with motor impairments by enabling direct communication with computers without requiring physical movement. One of the most promising applications of BCI technology is the P300 speller, whi…
  crossref 2025-05-06T09:48:28Z 置信度 0.70
• Adaptive GCN and Bi-GRU Based Dual-Branch for Motor lmagery EEG Decoding
  Decoding motor imagery electroencephalography (MI-EEG) signals presents significant challenges due to the difficulty in capturing the complex functional connectivity between channels and the temporal dependencies of EEG signals across different periods. These …
  preprints 2024 置信度 0.74
• Diffusion model-based image generation from rat brain activity
  Brain-computer interface (BCI) technology has gained recognition in various fields, including clinical applications, assistive technology, and human-computer interaction research. BCI enables communication, control, and monitoring of the affective/cognitive st…
  preprints 2024 置信度 0.74
• An evaluation of combined objective neurophysiologic markers to aid assessment of prolonged disorders of consciousness (PDoC)
  Objective Clinical assessments of individuals with Cognitive-Motor Dissociation (CMD) following brain injury are challenging and prone to errors. This prompts investigation of objective, movement-independent neurophysiological markers using electroencephalogra…
  preprints 2024 置信度 0.74
• Larva in the loop, a closed loop machine interface system for <i>Danio rerio</i> larvae
  The optokinetic response (OKR) in Zebrafish (Danio Rerio) had been characterized for its robust response to visual stimuli. Expanding on these works, we developed a novel closed loop control schema to drive a robot utilizing the OKR of Zebrafish larvae. Our sy…
  preprints 2024 置信度 0.74
• Brain-responsive music enables non-invasive, targeted and unobtrusive neurostimulation
  Objective We are developing a new closed-loop brain stimulation method by embedding, within music, auditory elements that respond to the listener’s brain activity. Here we show that this brain-responsive music has systematic and targeted effects on neural osci…
  preprints 2024 置信度 0.74
• Neural Encoding of Direction and Distance across Reference Frames in Visually Guided Reaching
  Goal-directed actions require transforming sensory information into motor plans defined across multiple parameters and reference frames. Substantial evidence supports the encoding of target direction in gaze– and body-centered coordinates within parietal and p…
  preprints 2024 置信度 0.74
• A task-level AR-BCI for enhanced interactive experiences
  Augmented reality (AR) technology can provide immersive and natural interactive interfaces for brain-computer interface (BCI) systems. The control architecture of existing AR-BCIs is at joint-level (JL) or action-level (AL), which brings a huge user burden and…
  preprints 2024 置信度 0.74
• An Open Access Resource for Marmoset Neuroscientific Apparatus
  The use of the common marmoset ( Callithrix jacchus ) for neuroscientific inquiry has grown precipitously over the past two decades. Despite windfalls of grant support from funding initiatives in North America, Europe, and Asia to model human brain diseases in…
  pubmed Rollin IZ, Papoti D, Bishop M, Szczupak D 等 2024 置信度 0.82
• A roadmap for implanting microelectrode arrays to evoke tactile sensations through intracortical microstimulation
  Intracortical microstimulation (ICMS) is a method for restoring sensation to people with paralysis as part of a bidirectional brain-computer interface to restore upper limb function. Evoking tactile sensations of the hand through ICMS requires precise targetin…
  preprints 2024 置信度 0.74
• Exploring Neurofeedback as a Therapeutic Intervention for Subjective Cognitive Decline
  In the context of an aging population, concerns surrounding memory function become increasingly prevalent, particularly as individuals transition into middle age and beyond. This study investigated neurofeedback (NFB) as a potential early therapeutic intervent…
  preprints 2024 置信度 0.74
• New Nodes for Node‐RED Library within OpenBCI Category for EEG‐Based Brain‐Machine Interface Design and Integration in IoT
  The growing of Brain-Computer Interface (BCI) applications is closely related to the increasing accessibility of Electroencephalography (EEG) hardware (EEG headsets), which are noninvasive, portable, wireless and often with open software. However, there is a l…
  preprints Adelina Kremenska, Anna Lekova 2024 置信度 0.74
• Real-Time Home Automation System using BCI Technology
  Brain-Computer Interface (BCI) processes and converts brain signals to provide 20 commands to output devices to carry out certain tasks. The main purpose of BCI is to replace or 21 restore missing or damaged functions of disabled people including neuromuscular…
  preprints 2024 置信度 0.74
• Sequence action representations contextualize during early skill learning
  Activities of daily living rely on our ability to acquire new motor skills composed of precise action sequences. Here, we asked if the millisecond-level neural representation of an action performed at different contextual sequence locations within a skill diff…
  preprints 2024 置信度 0.74
• Robotics in Physical Rehabilitation - Review
  As the global population faces an increasing prevalence of physical disabilities, the challenge of motor rehabilitation has become increasingly urgent. Considering that approximately 15% of the global population lives with some form of disability, with a signi…
  preprints 2024 置信度 0.74
• Gesture encoding in human left precentral gyrus neuronal ensembles
  Understanding the cortical activity patterns driving dexterous upper limb motion has the potential to benefit a broad clinical population living with limited mobility through the development of novel brain-computer interface (BCI) technology. The present study…
  preprints 2024 置信度 0.74
• A disorder of consciousness rather than complete locked-in may be the final stage of ALS
  The end-stage of amyotrophic lateral sclerosis [ALS] is presumed to be a complete Locked-In Syndrome [cLIS], assuming an internally preserved consciousness that would not be accessible anymore from the outside. However, whether consciousness persists at this s…
  preprints 2024 置信度 0.74
• Memristor chip-enabled adaptive neuromorphic decoder for co-evolutional brain-computer interfaces
  Abstract To fulfill complex human-machine interactions, a brain-computer interface (BCI) must not only decipher brain signals but also dynamically adapt to brain fluctuations, ultimately co-evolving with the brain. This necessitates a novel decoder capable of …
  preprints Huaqiang Wu, Zhengwu Liu, Jie Mei, Jianshi Tang 等 2024 置信度 0.74 Neuromorphic engineeringComputer scienceMemristorComputer architectureChip
• The cerebellum computes frequency dynamics for motions with numerical precision and cross-individual uniformity
  Abstract Cross-individual variability is considered the essence of biology, preventing precise mathematical descriptions of biological motion like the physics law of motion. Here we report that the cerebellum shapes motor kinematics by encoding dynamic motor f…
  preprints 2024 置信度 0.74
• Towards Analysis of Covariance Matrices through Bures-Wasserstein Distance
  Abstract Brain-computer interface (BCI) builds a bridge between human brain and external devices by translating brain signals into commands for devices to perform the user’s imagined action. The core of the BCI system is the classifier that labels the brain si…
  preprints 2024 置信度 0.74
• Development and assessment of a new multichannel electrocutaneous device for non-invasive somatosensory stimulation for magnetic resonance applications
  Electrocutaneous stimulation (ES) relies on the application of an electrical current flowing through the surface of the skin, eliciting a tactile percept. It can be applied for somatosensory mapping approaches at functional magnetic resonance imaging (fMRI) to…
  preprints 2024 置信度 0.74
• EEG Analyses of visual cue effects on executed movements
  Background In electroencephalographic (EEG) or electrocorticographic (ECoG) experiments, visual cues are commonly used for timing synchronization but may inadvertently induce neural activity and cognitive processing, posing challenges when decoding self-initia…
  preprints 2024 置信度 0.74
• Immersive Virtual Reality Games in Neuromotor Rehabilitation with Brain-Computer Interfaces: A Scoping Review
  The use of immersive virtual reality (VR) is gaining traction among the scientific community as it opens great opportunities in the field of rehabilitation. By making use of video game mechanics and Brain computer interface (BCI) that is based on electroenceph…
  preprints 2024 置信度 0.74
• Less is more: selection from a small set of options improves BCI velocity control
  We designed the discrete direction selection (DDS) decoder for intracortical brain computer interface (iBCI) cursor control and showed that it outperformed currently used decoders in a human-operated real-time iBCI simulator and in monkey iBCI use. Unlike virt…
  preprints 2024 置信度 0.74
• Feedback control of recurrent circuits imposes dynamical constraints on learning
  Summary Neural activity has been observed to lie on low-dimensional manifolds, constraining what new behaviors can be easily learned. We propose that beyond this geometric constraint, learning on fast timescales is limited by how neural activity can flow over …
  preprints 2024 置信度 0.74
• Interactive data exploration websites for large-scale electrophysiology
  Method: ological advances in neuroscience have enabled the collection of massive datasets which demand innovative approaches for scientific communication. Existing platforms for data storage lack intuitive tools for data exploration, limiting our ability to in…
  preprints 2024 置信度 0.74
• Analysis of Machine Learning Models Using Proposed EEG Vowel Dataset
  Abstract Electroencephalogram (EEG) signals are produced by neurons of human brain and contain frequencies and electrical properties. It is easy for a Brain to Computer Interface (BCI) system to record EEG signals by using non-invasive methods. Speech imagery …
  preprints 2024 置信度 0.74
• Motor imagery and execution activate similar finger representations that are spatially consistent over time
  Finger representations in the sensorimotor cortex can be activated even in the absence of somatosensory input or motor output through mere top-down processes, such as motor imagery. While executed finger movements activate finger representations in the primary…
  preprints 2024 置信度 0.74
• Frequency-tagging of spatial attention using periliminal flickers
  ABSTRACT Steady-State Visually Evoked Potentials (SSVEP) manifest as a sustained rhythmic activity that can be observed in surface electroencephalography (EEG) in response to periodic visual stimuli, commonly referred to as flickers. SSVEPs are widely used in …
  preprints 2024 置信度 0.74
• EEG-Visual Multiclass Classification Based on a Channel Selection, MNE Algorithm and Deep Network Architectures
  This work addresses the challenge of EEG visual multiclass classification into 40 classes for Brain-Computer interface applications, by using deep learning architectures. The visual multiclass classification approach offers BCI applications a significant advan…
  preprints 2024 置信度 0.74
• Bringing the Computer-Based instrument for Low motor Language Testing to Canada: A survey of caregiver and clinician perspectives
  Abstract Background: Accurate assessment of language comprehension is crucial to positive outcomes for children with cerebral palsy (CP) and limited functional speech (LFS). This study describes Canadian caregivers’ and clinicians’ language comprehension asses…
  preprints 2024 置信度 0.74
• Dynamical constraints on neural population activity
  The manner in which neural activity unfolds over time is thought to be central to sensory, motor, and cognitive functions in the brain. Network models have long posited that the brain’s computations involve time courses of activity that are shaped by the under…
  preprints 2024 置信度 0.74
• VMD based wavelet hybrid denoising and improved FBCCA algorithm: A new technique for wearable SSVEP recognit ion
  Abstract The brain-computer interface (BCI) based on steady-state visual evoked potential (SSVEP) has gained increasing attention due to its non-invasiveness, low user training requirement, and high information transfer rate. In order to enhance the performanc…
  preprints 2024 置信度 0.74
• Online BCI systems: cross-subject motor imagery classification based on weighted time-domain feature extraction methods
  Abstract Motor imagery electroencephalogram (MI-EEG) is becoming increasingly important. This paper solves the problem of online signal recognition for motor imagery across subjects by finding common features across multiple subjects to improve the generality …
  preprints 2024 置信度 0.74
• ChineseEEG: A Chinese Linguistic Corpora EEG Dataset for Semantic Alignment and Neural Decoding
  ABSTRACT An Electroencephalography (EEG) dataset utilizing rich text stimuli can advance the understanding of how the brain encodes semantic information and contribute to semantic decoding in brain-computer interface (BCI). Addressing the scarcity of EEG datas…
  preprints 2024 置信度 0.74
• Real-time control of a hearing instrument with EEG-based attention decoding
  Enhancing speech perception in everyday noisy acoustic environments remains an outstanding challenge for hearing aids. Speech separation technology is improving rapidly, but hearing devices cannot fully exploit this advance without knowing which sound sources …
  preprints 2024 置信度 0.74
• EEG control intention decoding based on improved discriminant analysis
  Decoding the intent of electroencephalographic (EEG) signals is a crucial topic in brain-computer interface research. As a classical multivariate statistical method, discriminant analysis is widely used in EEG-based intent decoding. The core prin-ciple entails…
  preprints 2024 置信度 0.74
• Exploring the Impact of Data Continuity on EEG-Based BCI: A Comparative Study of AI Models
  Abstract This study conducted comparative experiments on continuous data for brain–computer interface (BCI) research using various models depending on the data composition. It aimed to compare the classification performance of artificial intelligence (AI) mode…
  preprints 2024 置信度 0.74
• Surfing beta burst waveforms to improve motor imagery-based BCI
  Our understanding of motor-related, macroscale brain processes has been significantly shaped by the description of the event-related desynchronization (ERD) and synchronization (ERS) phenomena in the mu and beta frequency bands prior to, during and following m…
  preprints 2024 置信度 0.74
• Volitional Regulation and Transferable Patterns of Midbrain Oscillations
  Dopaminergic brain areas are crucial for cognition and their dysregulation is linked to neuropsychiatric disorders typically treated with pharmacological interventions. These treatments often have side effects and variable effectiveness, underscoring the need …
  preprints 2024 置信度 0.74
• The Lab Streaming Layer for Synchronized Multimodal Recording
  Accurately recording the interactions of humans or other organisms with their environment and other agents requires synchronized data access via multiple instruments, often running independently using different clocks. Active, hardware-mediated solutions are o…
  preprints 2024 置信度 0.74
• A Fused Multi-subfrequency Bands and CBAM SSVEP-BCI Classification Method Based on Convolutional Neural Network
  Abstract For the brain-computer interface (BCI) system based on steady-state visual evoked potential (SSVEP), it is difficult to obtain satisfactory classification performance for short-time window SSVEP signals by traditional methods. In this paper, a fused m…
  preprints 2024 置信度 0.74
• Feeling the music: Audiotactile encoding of temporal structure in the human brain
  In everyday situations, like a rock party or an organ concert, we feel music vibrating through our bodies. How do these vibrotactile signals influence music processing? How do they aid auditory scene analysis? Combining psychophysics, fMRI and time-resolved EE…
  preprints 2026 置信度 0.74
• ABBA, a novel tool for whole-brain mapping, reveals brain-wide differences in immediate early genes induction following learning
  Abstract Unbiased characterization of whole-brain cytoarchitecture represents an invaluable tool for understanding brain function. For this, precise mapping of histological markers from 2D sections onto 3D brain atlases is pivotal. Here, we present two novel s…
  preprints Nicolas Chiaruttini, Carlo Castoldi, Linda Maria Requie, Carmen Camarena-Delgado 等 2024 置信度 0.74 CytoarchitectureNeuroscienceBrain activity and meditationSegmentationBiology
• Moving beyond the motor cortex: a brain-wide evaluation of target locations for intracranial speech neuroprostheses
  ABSTRACT Speech is the fastest and most natural form of communication, which can be impaired in certain disorders. Speech brain- computer interfaces (BCIs) offer a solution by decoding brain activity into speech. Current neuroprosthetic devices focus on the mo…
  preprints 2024 置信度 0.74
• A Habenula Neural Biomarker Simultaneously Tracks Weekly and Daily Symptom Variations during Deep Brain Stimulation Therapy for Depression
  Deep brain stimulation (DBS) targeting the lateral habenula (LHb) is a promising therapy for treatment-resistant depression (TRD) but its clinical effect has been variable, which can be improved by adaptive DBS (aDBS) guided by a neural biomarker of depression…
  preprints 2024 置信度 0.74
• Evaluation of fetal exposure to environmental noise using a computer-generated model
  Abstract Acoustic noise can have profound effects on wellbeing, impacting the health of the pregnant mother and the development of the fetus. Mounting evidence suggests neural memory traces are formed by auditory learning in utero. A better understanding of th…
  preprints 2024 置信度 0.74
• Don’t put words in my mouth: Speech perception can generate False Positive activation of a speech BCI
  Recent studies have demonstrated that speech can be decoded from brain activity and used for brain-computer interface (BCI)-based communication. It is however also known that the area often used as a signal source for speech decoding BCIs, the sensorimotor cor…
  preprints 2024 置信度 0.74
• Scanner-based real-time 3D brain+body slice-to-volume reconstruction for T2-weighted 0.55T low field fetal MRI
  Purpose Integrating the SVRTK methods within the Gadgetron framework enables automated 3D fetal brain and body reconstruction in the low-field 0.55T MRI scanner within the duration of the scan. Methods A deep-learning based, integrated, robust, and deployable …
  preprints 2024 置信度 0.74
• Realistic subject-specific simulation of resting state scalp EEG based on physiological model
  Abstract Electroencephalography (EEG) recordings are widely used in neuroscience to identify individual-specific signatures. Understanding the cellular origins of scalp EEG signals and their spatiotemporal changes during resting state (RS) in humans is challen…
  preprints 2024 置信度 0.74
• Genetic-Dependent Brain Signatures of Resilience: Interactions among Childhood Abuse, Genetic Risks and Brain Function
  Summary Resilience to emotional disorders is critical for adolescent mental health, especially following childhood abuse. Yet, brain signatures of resilience remain undetermined due to the differential susceptibility of the brain’s emotion processing system to…
  preprints 2024 置信度 0.74
• What are community perspectives regarding brain- computer interfaces? A cross-sectional study of community-dwelling adults in the UK
  Background: Brain-computer interfaces (BCIs) have emerged as ground-breaking tools in neuroscience, enabling direct communication between the brain and external devices. This technology holds promise for enhancing the lives of individuals with neurological dis…
  preprints 2024 置信度 0.74
• Gaze-control training in a sample of inattentive young adults: A Confidence-in-Concept study of neural mechanisms
  Background Mounting evidence links attentional disorders to impairments in oculomotor control. Moreover, the brain’s oculomotor control network forms the backbone of neurocognitive systems typically impaired in neurodevelopmental conditions like Attention Defi…
  preprints 2024 置信度 0.74
• Conveying tactile object characteristics through customized intracortical microstimulation of the human somatosensory cortex
  Microstimulation of the somatosensory cortex can evoke tactile percepts in people with spinal cord injury, providing a means to restore touch. While location and intensity can be reliably conveyed, two issues that prevent creating more complex naturalistic sen…
  preprints 2024 置信度 0.74