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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 271280 of 466 papers

TitleStatusHype
Towards Brain-Computer Interfaces for Drone Swarm Control0
Towards Personalized Brain-Computer Interface Application Based on Endogenous EEG Paradigms0
Towards personalized human AI interaction - adapting the behavior of AI agents using neural signatures of subjective interest0
Towards Probabilistic Inference of Human Motor Intentions by Assistive Mobile Robots Controlled via a Brain-Computer Interface0
Towards the bio-personalization of music recommendation systems: A single-sensor EEG biomarker of subjective music preference0
Towards Unified Neural Decoding of Perceived, Spoken and Imagined Speech from EEG Signals0
Toward the application of XAI methods in EEG-based systems0
Transfer Learning and SpecAugment applied to SSVEP Based BCI Classification0
Transfer Learning for EEG-Based Brain-Computer Interfaces: A Review of Progress Made Since 20160
Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data0
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