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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 91100 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
Dareplane: A modular open-source software platform for BCI research with application in closed-loop deep brain stimulationCode1
Domain Adaptation-Enhanced Searchlight: Enabling classification of brain states from visual perception to mental imageryCode0
Decoding Linguistic Representations of Human Brain0
How Does a Single EEG Channel Tell Us About Brain States in Brain-Computer Interfaces ?0
L-Sort: An Efficient Hardware for Real-time Multi-channel Spike Sorting with Localization0
ESI-GAL: EEG Source Imaging-based Trajectory Estimation for Grasp and Lift Task0
GET: A Generative EEG Transformer for Continuous Context-Based Neural Signals0
Speech Imagery BCI Training Using Game with a PurposeCode0
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