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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 331340 of 466 papers

TitleStatusHype
Learning Patterns in Imaginary Vowels for an Intelligent Brain Computer Interface (BCI) Design0
Binarization Methods for Motor-Imagery Brain-Computer Interface Classification0
Electroencephalography signal processing based on textural features for monitoring the driver's state by a Brain-Computer Interface0
The "Sound of Silence" in EEG -- Cognitive voice activity detection0
Transfer Learning and SpecAugment applied to SSVEP Based BCI Classification0
Analysis of artifacts in EEG signals for building BCIs0
A 6.3-Nanowatt-per-Channel 96-Channel Neural Spike Processor for a Movement-Intention-Decoding Brain-Computer-Interface Implant0
To Root Artificial Intelligence Deeply in Basic Science for a New Generation of AI0
A Computationally Efficient Multiclass Time-Frequency Common Spatial Pattern Analysis on EEG Motor Imagery0
Revisiting the Application of Feature Selection Methods to Speech Imagery BCI Datasets0
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