Papers Brain Computer Interface
“Brain Computer Interface” 태그가 달린 논문 466편 · 필터 해제
AGTCNet: A Graph-Temporal Approach for Principled Motor Imagery EEG Classification
Brain-computer interface (BCI) technology utilizing electroencephalography (EEG) marks a transformative innovation, empowering motor-impaired individuals to engage with their environment on equal footing. Despite its pro…
Brain Computer InterfaceEEGInductive BiasMotor ImageryTCANet: A Temporal Convolutional Attention Network for Motor Imagery EEG Decoding
Decoding motor imagery electroencephalogram (MI-EEG) signals is fundamental to the development of brain–computer interface (BCI) systems. However, robust decoding remains a challenge due to the inherent complexity and va…
Brain Computer InterfaceEEGEeg DecodingMotor ImageryThe 2025 PNPL Competition: Speech Detection and Phoneme Classification in the LibriBrain Dataset
The advance of speech decoding from non-invasive brain data holds the potential for profound societal impact. Among its most promising applications is the restoration of communication to paralysed individuals affected by…
Brain Computer InterfaceDecoding Saccadic Eye Movements from Brain Signals Using an Endovascular Neural Interface
An Oculomotor Brain-Computer Interface (BCI) records neural activity from regions of the brain involved in planning eye movements and translates this activity into control commands. While previous successful oculomotor B…
Brain Computer InterfaceEEGDataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms
In Brain-Computer Interface (BCI) research, the detailed study of blinks is crucial. They can be considered as noise, affecting the efficiency and accuracy of decoding users' cognitive states and intentions, or as potent…
Brain Computer InterfaceEEGElectroencephalogram (EEG)Motor ImageryMinimally Invasive Brain Computer Interfaces: Evaluating the Impact of Tissue Layers on Signal Quality of Sub-Scalp EEG
Individuals with severe physical disabilities often experience diminished quality of life stemming from limited ability to engage with their surroundings. Brain-Computer Interface (BCI) technology aims to bridge this gap…
Brain Computer InterfaceEEGSub-Scalp EEG for Sensorimotor Brain-Computer Interface
Objective: To establish sub-scalp electroencephalography (EEG) as a viable option for brain-computer interface (BCI) applications, particularly for chronic use, by demonstrating its effectiveness in recording and classif…
Brain Computer InterfaceEEGEEG Foundation Models for BCI Learn Diverse Features of Electrophysiology
Brain computer interface (BCI) research, as well as increasing portions of the field of neuroscience, have found success deploying large-scale artificial intelligence (AI) pre-training methods in conjunction with vast pu…
Brain Computer InterfaceEEGMotor ImageryFrom Theory to Application: Fine-Tuning Large EEG Model with Real-World Stress Data
Recent advancements in Large Language Models have inspired the development of foundation models across various domains. In this study, we evaluate the efficacy of Large EEG Models (LEMs) by fine-tuning LaBraM, a state-of…
Brain Computer InterfaceEEGAbsoluteNet: A Deep Learning Neural Network to Classify Cerebral Hemodynamic Responses of Auditory Processing
In recent years, deep learning (DL) approaches have demonstrated promising results in decoding hemodynamic responses captured by functional near-infrared spectroscopy (fNIRS), particularly in the context of brain-compute…
Binary ClassificationBrain Computer InterfaceDeep LearningSpecificityNon-invasive two-step strategy BCI: brain-muscle-hand interface
Brain-computer interface enables direct interaction between brain and device. However, common brain-computer interfaces often employ one-step strategy that rely on non-natural paradigms, such as SSVEP-BCI and MI-BCI, are…
Brain Computer InterfaceSSVEPThe Study of Human Preference Based on Integrated Analysis of N1 and LPP Components
Human preference research is a significant domain in psychology and psychophysiology, with broad applications in psychiatric evaluation and daily life quality enhancement. This study explores the neural mechanisms of hum…
Brain Computer InterfaceEEGERPMarketingBrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics
Decoding speech directly from neural activity is a central goal in brain-computer interface (BCI) research. In recent years, exciting advances have been made through the growing use of intracranial field potential record…
Brain Computer InterfaceDisentanglementQuantizationQSVM-QNN: Quantum Support Vector Machine Based Quantum Neural Network Learning Algorithm for Brain-Computer Interfacing Systems
A brain-computer interface (BCI) system enables direct communication between the brain and external devices, offering significant potential for assistive technologies and advanced human-computer interaction. Despite prog…
Brain Computer InterfaceEEGTime Series ClassificationUnlocking Non-Invasive Brain-to-Text
Despite major advances in surgical brain-to-text (B2T), i.e. transcribing speech from invasive brain recordings, non-invasive alternatives have yet to surpass even chance on standard metrics. This remains a barrier to bu…
Brain Computer InterfaceCovariance Density Neural Networks
Graph neural networks have re-defined how we model and predict on network data but there lacks a consensus on choosing the correct underlying graph structure on which to model signals. CoVariance Neural Networks (VNN) ad…
Brain Computer InterfaceEEGMotor ImageryReal-Time Brain-Computer Interface Control of Walking Exoskeleton with Bilateral Sensory Feedback
Invasive brain-computer interface (BCI) technology has demonstrated the possibility of restoring brain-controlled walking in paraplegic spinal cord injury patients. However, current implementations of BCI-controlled walk…
Brain Computer InterfacePretraining Large Brain Language Model for Active BCI: Silent Speech
This paper explores silent speech decoding in active brain-computer interface (BCI) systems, which offer more natural and flexible communication than traditional BCI applications. We collected a new silent speech dataset…
Brain Computer InterfaceEEGElectroencephalogram (EEG)Language Modeling+1Sub-Scalp Brain-Computer Interface Device Design and Fabrication
Current brain-computer interfaces (BCI) face limitations in signal acquisition. While sub-scalp EEG offers a potential solution, existing devices prioritize chronic seizure monitoring and lack features suited for BCI app…
Brain Computer InterfaceEEGMulti-scale convolutional transformer network for motor imagery brain-computer interface
Brain-computer interface (BCI) systems allow users to communicate with external devices by translating neural signals into real-time commands. Convolutional neural networks (CNNs) have been effectively utilized for decod…
4-task ClassificationBrain Computer InterfaceEEGMotor Imagery