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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
Bandit Algorithms boost Brain Computer Interfaces for motor-task selection of a brain-controlled button0
Minimizing inter-subject variability in fNIRS based Brain Computer Interfaces via multiple-kernel support vector learning0
Decoding finger flexion from band-specific ECoG signals in humans0
Sparsistent Learning of Varying-coefficient Models with Structural Changes0
Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance0
Second Order Bilinear Discriminant Analysis for single trial EEG analysis0
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