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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
Target-centered Subject Transfer Framework for EEG Data Augmentation0
The feasibility of combining communication BCIs with FES for individuals with locked-in syndrome0
The "Sound of Silence" in EEG -- Cognitive voice activity detection0
The Study of Human Preference Based on Integrated Analysis of N1 and LPP Components0
Time delay multi-feature correlation analysis to extract subtle dependencies from EEG signals0
Topological Data Analysis (TDA) Techniques Enhance Hand Pose Classification from ECoG Neural Recordings0
To Root Artificial Intelligence Deeply in Basic Science for a New Generation of AI0
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
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