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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 241250 of 466 papers

TitleStatusHype
A Spiking Neural Network based on Neural Manifold for Augmenting Intracortical Brain-Computer Interface Data0
A Study on Stroke Rehabilitation through Task-Oriented Control of a Haptic Device via Near-Infrared Spectroscopy-Based BCI0
A Subject-Independent Brain-Computer Interface Framework Based on Supervised Autoencoder0
A Survey on Brain-Computer Interaction0
A Survey on Deep Learning-based Non-Invasive Brain Signals:Recent Advances and New Frontiers0
A Systematic Evaluation of Euclidean Alignment with Deep Learning for EEG Decoding0
A Technique Based on Chaos for Brain Computer Interfacing0
Attention-based Transfer Learning for Brain-computer Interface0
Attention Patterns Detection using Brain Computer Interfaces0
Automated Classification of L/R Hand Movement EEG Signals using Advanced Feature Extraction and Machine Learning0
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