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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 431440 of 466 papers

TitleStatusHype
Adversarial Filtering Based Evasion and Backdoor Attacks to EEG-Based Brain-Computer InterfacesCode0
Relevance Feedback with Brain SignalsCode0
Comparison of Classification Algorithms Towards Subject-Specific and Subject-Independent BCICode0
Calibration-Free Driver Drowsiness Classification based on Manifold-Level AugmentationCode0
Benchmarking framework for machine learning classification from fNIRS dataCode0
Geometric Neural Network based on Phase Space for BCI-EEG decodingCode0
Towards Decoding Brain Activity During Passive Listening of SpeechCode0
FOIT: Fast Online Instance Transfer for Improved EEG Emotion RecognitionCode0
Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer InterfacesCode0
Speech Imagery BCI Training Using Game with a PurposeCode0
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