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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 461466 of 466 papers

TitleStatusHype
Decoding Imagined Movement in People with Multiple Sclerosis for Brain-Computer Interface Translation0
Decoding Linguistic Representations of Human Brain0
Decoding Neural Activity to Assess Individual Latent State in Ecologically Valid Contexts0
Decoding Neural Correlation of Language-Specific Imagined Speech using EEG Signals0
Decoding of Intuitive Visual Motion Imagery Using Convolutional Neural Network under 3D-BCI Training Environment0
Decoding Saccadic Eye Movements from Brain Signals Using an Endovascular Neural Interface0
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