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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 451466 of 466 papers

TitleStatusHype
Measuring the functional connectome "on-the-fly": towards a new control signal for fMRI-based brain-computer interfaces0
Spatial Auditory Brain-computer Interface using Head Related Impulse Response0
Using Riemannian geometry for SSVEP-based Brain Computer InterfaceCode0
Canonical Polyadic Decomposition with Auxiliary Information for Brain Computer Interface0
Feature Learning from Incomplete EEG with Denoising Autoencoder0
Spatiotemporal Sparse Bayesian Learning with Applications to Compressed Sensing of Multichannel Physiological Signals0
Automated Classification of L/R Hand Movement EEG Signals using Advanced Feature Extraction and Machine Learning0
A multi-agent control framework for co-adaptation in brain-computer interfaces0
A Study on Stroke Rehabilitation through Task-Oriented Control of a Haptic Device via Near-Infrared Spectroscopy-Based BCI0
Classifying Single-Trial EEG during Motor Imagery with a Small Training Set0
Bandit Algorithms boost Brain Computer Interfaces for motor-task selection of a brain-controlled button0
Minimizing inter-subject variability in fNIRS based Brain Computer Interfaces via multiple-kernel support vector learning0
Decoding finger flexion from band-specific ECoG signals in humans0
Sparsistent Learning of Varying-coefficient Models with Structural Changes0
Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance0
Second Order Bilinear Discriminant Analysis for single trial EEG analysis0
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