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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 241250 of 466 papers

TitleStatusHype
Towards Fast Single-Trial Online ERP based Brain-Computer Interface using dry EEG electrodes and neural networks: a pilot studyCode0
Embedding neurophysiological signalsCode0
Stimulus-Informed Generalized Canonical Correlation Analysis of Stimulus-Following Brain ResponsesCode0
Toward the application of XAI methods in EEG-based systems0
Deep learning for ECoG brain-computer interface: end-to-end vs. hand-crafted features0
In the realm of hybrid Brain: Human Brain and AI0
On The Effects Of Data Normalisation For Domain Adaptation On EEG Data0
Mental arithmetic task classification with convolutional neural network based on spectral-temporal features from EEG0
A Novel Semi-supervised Meta Learning Method for Subject-transfer Brain-computer Interface0
Subject-independent trajectory prediction using pre-movement EEG during grasp and lift task0
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