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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 351360 of 466 papers

TitleStatusHype
Voxel selection framework based on meta-heuristic search and mutual information for brain decoding0
Wavelet Analysis of Noninvasive EEG Signals Discriminates Complex and Natural Grasp Types0
Wheelchair automation by a hybrid BCI system using SSVEP and eye blinks0
X2T: Training an X-to-Text Typing Interface with Online Learning from User Feedback0
Domain Adaptation with Optimal Transport on the Manifold of SPD matrices0
Zydeco-Style Spike Sorting Low Power VLSI Architecture for IoT BCI Implants0
Covariance Density Neural Networks0
The 2025 PNPL Competition: Speech Detection and Phoneme Classification in the LibriBrain Dataset0
3D-CLMI: A Motor Imagery EEG Classification Model via Fusion of 3D-CNN and LSTM with Attention0
4D Attention-based Neural Network for EEG Emotion Recognition0
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