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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 271280 of 466 papers

TitleStatusHype
A self-paced BCI system with low latency for motor imagery onset detection based on time series prediction paradigm0
Fuzzy temporal convolutional neural networks in P300-based Brain-computer interface for smart home interaction0
On the Handwriting Tasks' Analysis to Detect Fatigue0
A Spiking Neural Network based on Neural Manifold for Augmenting Intracortical Brain-Computer Interface Data0
X2T: Training an X-to-Text Typing Interface with Online Learning from User Feedback0
Fast and accurate decoding of finger movements from ECoG through Riemannian features and modern machine learning techniques0
DGAFF: Deep Genetic Algorithm Fitness Formation for EEG Bio-Signal Channel Selection0
Robust alignment of cross-session recordings of neural population activity by behaviour via unsupervised domain adaptation0
Spectrally Adaptive Common Spatial Patterns0
AI-based artistic representation of emotions from EEG signals: a discussion on fairness, inclusion, and aestheticsCode0
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