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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 441450 of 466 papers

TitleStatusHype
Ownership and Agency of an Independent Supernumerary Hand Induced by an Imitation Brain-Computer Interface0
Geometry-aware stationary subspace analysis0
Reducing training requirements through evolutionary based dimension reduction and subject transfer0
Neuroprosthetic decoder training as imitation learning0
Images from the Mind: BCI image evolution based on Rapid Serial Visual Presentation of polygon primitives0
Chromatic and High-frequency cVEP-based BCI Paradigm0
Inter-stimulus Interval Study for the Tactile Point-pressure Brain-computer Interface0
Head-related Impulse Response Cues for Spatial Auditory Brain-computer Interface0
Student Teaching and Research Laboratory Focusing on Brain-computer Interface Paradigms - A Creative Environment for Computer Science Students -0
Two-step Input Spatial Auditory BCI for Japanese Kana Characters0
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