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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 281290 of 466 papers

TitleStatusHype
Riemannian Geometry for the classification of brain states with intracortical brain-computer interfaces0
Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptation0
Robust Feature Engineering Techniques for Designing Efficient Motor Imagery-Based BCI-Systems0
Sample Dominance Aware Framework via Non-Parametric Estimation for Spontaneous Brain-Computer Interface0
Second Order Bilinear Discriminant Analysis for single trial EEG analysis0
SEE: Semantically Aligned EEG-to-Text Translation0
Selection of Proper EEG Channels for Subject Intention Classification Using Deep Learning0
Sequential Best-Arm Identification with Application to Brain-Computer Interface0
SG-GAN: Fine Stereoscopic-Aware Generation for 3D Brain Point Cloud Up-sampling from a Single Image0
Siamese Network with Dual Attention for EEG-Driven Social Learning: Bridging the Human-Robot Gap in Long-Tail Autonomous Driving0
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