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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 141150 of 466 papers

TitleStatusHype
Relevance Feedback with Brain SignalsCode0
A Literature Review on the Smart Wheelchair Systems0
DTP-Net: Learning to Reconstruct EEG signals in Time-Frequency Domain by Multi-scale Feature ReuseCode1
Visual tracking brain computer interface0
Enhanced Generative Adversarial Networks for Unseen Word Generation from EEG Signals0
Sample Dominance Aware Framework via Non-Parametric Estimation for Spontaneous Brain-Computer Interface0
EEG-DG: A Multi-Source Domain Generalization Framework for Motor Imagery EEG ClassificationCode0
Neuro-GPT: Towards A Foundation Model for EEGCode2
Improved Motor Imagery Classification Using Adaptive Spatial Filters Based on Particle Swarm Optimization Algorithm0
Neuromorphic Online Clustering and Classification0
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