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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 7180 of 466 papers

TitleStatusHype
EEG-based AI-BCI Wheelchair Advancement: A Brain-Computer Interfacing Wheelchair System Using Deep Learning Approach0
Source Data Selection for Brain-Computer Interfaces based on Simple Features0
AM-MTEEG: Multi-task EEG classification based on impulsive associative memory0
Method for Evaluating the Number of Signal Sources and Application to Non-invasive Brain-computer Interface0
Translating Mental Imaginations into Characters with Codebooks and Dynamics-Enhanced Decoding0
Guess What I Think: Streamlined EEG-to-Image Generation with Latent Diffusion ModelsCode2
Enhancing EEG Signal Generation through a Hybrid Approach Integrating Reinforcement Learning and Diffusion Models0
SEE: Semantically Aligned EEG-to-Text Translation0
PHemoNet: A Multimodal Network for Physiological SignalsCode2
PiEEG-16 to Measure 16 EEG Channels with Raspberry Pi for Brain-Computer Interfaces and EEG devicesCode2
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