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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 6170 of 466 papers

TitleStatusHype
Dynamic Neural Communication: Convergence of Computer Vision and Brain-Computer Interface0
Towards Unified Neural Decoding of Perceived, Spoken and Imagined Speech from EEG Signals0
EEG-DCNet: A Fast and Accurate MI-EEG Dilated CNN Classification MethodCode0
Personalized Continual EEG Decoding: Retaining and Transferring Knowledge0
User-wise Perturbations for User Identity Protection in EEG-Based BCIs0
Feature Selection via Dynamic Graph-based Attention Block in MI-based EEG Signals0
Neurophysiological Analysis in Motor and Sensory Cortices for Improving Motor Imagination0
SPDIM: Source-Free Unsupervised Conditional and Label Shift Adaptation in EEG0
Evaluation Of P300 Speller Performance Using Large Language Models Along With Cross-Subject TrainingCode0
EEG-based 90-Degree Turn Intention Detection for Brain-Computer Interface0
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