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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 321330 of 466 papers

TitleStatusHype
Toward BCI-enabled Metaverse: A Joint Learning and Resource Allocation Approach0
Towards a Fast Steady-State Visual Evoked Potentials (SSVEP) Brain-Computer Interface (BCI)0
Towards Asynchronous Motor Imagery-Based Brain-Computer Interfaces: a joint training scheme using deep learning0
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
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