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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 121130 of 466 papers

TitleStatusHype
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
EEG-based AI-BCI Wheelchair Advancement: A Brain-Computer Interfacing Wheelchair System Using Deep Learning Approach0
Source Data Selection for Brain-Computer Interfaces based on Simple Features0
AM-MTEEG: Multi-task EEG classification based on impulsive associative memory0
Method for Evaluating the Number of Signal Sources and Application to Non-invasive Brain-computer Interface0
Translating Mental Imaginations into Characters with Codebooks and Dynamics-Enhanced Decoding0
Enhancing EEG Signal Generation through a Hybrid Approach Integrating Reinforcement Learning and Diffusion Models0
SEE: Semantically Aligned EEG-to-Text Translation0
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