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Brain Computer Interface

A Brain-Computer Interface (BCI), also known as a Brain-Machine Interface (BMI), is a technology that enables direct communication between the brain and an external device, such as a computer or a machine, without the need for any muscular or peripheral nerve activity. Essentially, BCIs establish a direct pathway between the brain and an external device, allowing for bidirectional communication.

BCIs typically work by detecting and interpreting brain signals, which are then translated into commands that control external devices or provide feedback to the user. These brain signals can be detected through various methods, including electroencephalography (EEG), which measures electrical activity in the brain through electrodes placed on the scalp, or invasive techniques such as implanted electrodes.

Papers

Showing 101125 of 466 papers

TitleStatusHype
RISE-iEEG: Robust to Inter-Subject Electrodes Implantation Variability iEEG ClassifierCode0
EEGMobile: Enhancing Speed and Accuracy in EEG-Based Gaze Prediction with Advanced Mobile ArchitecturesCode0
EEG-DCNet: A Fast and Accurate MI-EEG Dilated CNN Classification MethodCode0
EEG-DG: A Multi-Source Domain Generalization Framework for Motor Imagery EEG ClassificationCode0
Speech Imagery BCI Training Using Game with a PurposeCode0
Stimulus-Informed Generalized Canonical Correlation Analysis of Stimulus-Following Brain ResponsesCode0
Deep Optimal Transport for Domain Adaptation on SPD ManifoldsCode0
A Temporal-Spectral Fusion Transformer with Subject-Specific Adapter for Enhancing RSVP-BCI DecodingCode0
Domain Adaptation-Enhanced Searchlight: Enabling classification of brain states from visual perception to mental imageryCode0
CSSSTN: A Class-sensitive Subject-to-subject Semantic Style Transfer Network for EEG Classification in RSVP TasksCode0
Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigmsCode0
Feature Weighting and Regularization of Common Spatial Patterns in EEG-Based Motor Imagery BCICode0
A Survey on Brain-Computer Interaction0
A Subject-Independent Brain-Computer Interface Framework Based on Supervised Autoencoder0
A Low-complexity Brain-computer Interface for High-complexity Robot Swarm Control0
A Study on Stroke Rehabilitation through Task-Oriented Control of a Haptic Device via Near-Infrared Spectroscopy-Based BCI0
Constrained Variational Autoencoder for improving EEG based Speech Recognition Systems0
Confidence-Aware Subject-to-Subject Transfer Learning for Brain-Computer Interface0
A Spiking Neural Network based on Neural Manifold for Augmenting Intracortical Brain-Computer Interface Data0
A Literature Review on the Smart Wheelchair Systems0
A Convolutional Network Adaptation for Cortical Classification During Mobile Brain Imaging0
Covariate Shift Estimation based Adaptive Ensemble Learning for Handling Non-Stationarity in Motor Imagery related EEG-based Brain-Computer Interface0
CropCat: Data Augmentation for Smoothing the Feature Distribution of EEG Signals0
Cross-Correlation Based Discriminant Criterion for Channel Selection in Motor Imagery BCI Systems0
Comparison of Sub-Scalp EEG and Endovascular Stent-Electrode Array for Visual Evoked Potential Brain-Computer Interface0
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