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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
Learning shared neural manifolds from multi-subject FMRI data0
Light-Weight 1-D Convolutional Neural Network Architecture for Mental Task Identification and Classification Based on Single-Channel EEG0
Low count of optically pumped magnetometers furnishes a reliable real-time access to sensorimotor rhythm0
L-Sort: An Efficient Hardware for Real-time Multi-channel Spike Sorting with Localization0
Measuring the functional connectome "on-the-fly": towards a new control signal for fMRI-based brain-computer interfaces0
Mental arithmetic task classification with convolutional neural network based on spectral-temporal features from EEG0
Method for Evaluating the Number of Signal Sources and Application to Non-invasive Brain-computer Interface0
MindArm: Mechanized Intelligent Non-Invasive Neuro-Driven Prosthetic Arm System0
Mindfulness Improves Brain Computer Interface Performance by Increasing Control over Neural Activity in the Alpha Band0
MindReading: An Ultra-Low-Power Photonic Accelerator for EEG-based Human Intention Recognition0
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