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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 431440 of 466 papers

TitleStatusHype
Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure Prediction0
Spatial Filtering for EEG-Based Regression Problems in Brain-Computer Interface (BCI)0
Online and Offline Domain Adaptation for Reducing BCI Calibration Effort0
Switching EEG Headsets Made Easy: Reducing Offline Calibration Effort Using Active Weighted Adaptation Regularization0
Learning from Label Proportions in Brain-Computer Interfaces: Online Unsupervised Learning with Guarantees0
Bayesian Nonparametric Models for Synchronous Brain-Computer Interfaces0
Visual Motion Onset Brain-computer Interface0
Towards the bio-personalization of music recommendation systems: A single-sensor EEG biomarker of subjective music preference0
A Consumer BCI for Automated Music Evaluation Within a Popular On-Demand Music Streaming Service - Taking Listener's Brainwaves to Extremes0
Kullback-Leibler Penalized Sparse Discriminant Analysis for Event-Related Potential Classification0
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