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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 1120 of 466 papers

TitleStatusHype
AbsoluteNet: A Deep Learning Neural Network to Classify Cerebral Hemodynamic Responses of Auditory Processing0
BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics0
The Study of Human Preference Based on Integrated Analysis of N1 and LPP Components0
QSVM-QNN: Quantum Support Vector Machine Based Quantum Neural Network Learning Algorithm for Brain-Computer Interfacing Systems0
Unlocking Non-Invasive Brain-to-Text0
Covariance Density Neural Networks0
Real-Time Brain-Computer Interface Control of Walking Exoskeleton with Bilateral Sensory Feedback0
Pretraining Large Brain Language Model for Active BCI: Silent Speech0
Sub-Scalp Brain-Computer Interface Device Design and Fabrication0
Multi-scale convolutional transformer network for motor imagery brain-computer interfaceCode2
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