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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 151160 of 466 papers

TitleStatusHype
Bayesian Nonparametric Models for Synchronous Brain-Computer Interfaces0
An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing0
Deep Learning in fNIRS: A review0
Deep Learning in EEG: Advance of the Last Ten-Year Critical Period0
Bayesian Networks for Brain-Computer Interfaces: A Survey0
A Brain-Computer Interface Augmented Reality Framework with Auto-Adaptive SSVEP Recognition0
DGAFF: Deep Genetic Algorithm Fitness Formation for EEG Bio-Signal Channel Selection0
Easing Seasickness through Attention Redirection with a Mindfulness-Based Brain--Computer Interface0
Deep learning for ECoG brain-computer interface: end-to-end vs. hand-crafted features0
Deep Learning Decoding of Mental State in Non-invasive Brain Computer Interface0
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