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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 261270 of 466 papers

TitleStatusHype
A Low-complexity Brain-computer Interface for High-complexity Robot Swarm Control0
An Adaptive Contrastive Learning Model for Spike Sorting0
Bayesian Networks for Brain-Computer Interfaces: A Survey0
IFTT-PIN: A PIN-Entry Method Leveraging the Self-Calibration Paradigm0
Human Emotion Classification based on EEG Signals Using Recurrent Neural Network And KNN0
PreMovNet: Pre-Movement EEG-based Hand Kinematics Estimation for Grasp and Lift task0
Unsupervised Motor Imagery Saliency Detection Based on Self-Attention Mechanism0
A Subject-Independent Brain-Computer Interface Framework Based on Supervised Autoencoder0
Prototype-based Domain Generalization Framework for Subject-Independent Brain-Computer Interfaces0
Decoding Neural Correlation of Language-Specific Imagined Speech using EEG Signals0
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