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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 421430 of 466 papers

TitleStatusHype
EEG-assisted Modulation of Sound Sources in the Auditory Scene0
Hierarchical internal representation of spectral features in deep convolutional networks trained for EEG decoding0
Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG SignalsCode0
Ensemble Classifier for Eye State Classification using EEG Signals0
Towards personalized human AI interaction - adapting the behavior of AI agents using neural signatures of subjective interest0
Evaluation of Classical Features and Classifiers in Brain-Computer Interface Tasks0
Acting Thoughts: Towards a Mobile Robotic Service Assistant for Users with Limited Communication Skills0
EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features0
User-driven Intelligent Interface on the Basis of Multimodal Augmented Reality and Brain-Computer Interaction for People with Functional Disabilities0
Reconfiguring motor circuits for a joint manual and BCI task0
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