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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 191200 of 466 papers

TitleStatusHype
Benchmarking framework for machine learning classification from fNIRS dataCode0
Deep comparisons of Neural Networks from the EEGNet familyCode1
Cross-Subject Deep Transfer Models for Evoked Potentials in Brain-Computer Interface0
Neurorehab: An Interface for Rehabilitation0
Device JNEEG to convert Jetson Nano to brain-Computer interfaces. Short reportCode1
Subject-Independent Classification of Brain Signals using Skip Connections0
Subject-Independent Brain-Computer Interfaces with Open-Set Subject Recognition0
Short-length SSVEP data extension by a novel generative adversarial networks based frameworkCode0
AMDET: Attention based Multiple Dimensions EEG Transformer for Emotion Recognition0
Toward BCI-enabled Metaverse: A Joint Learning and Resource Allocation Approach0
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