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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 91100 of 466 papers

TitleStatusHype
BrainStratify: Coarse-to-Fine Disentanglement of Intracranial Neural Dynamics0
A Neural-Inspired Architecture for EEG-Based Auditory Attention Detection0
Brain informed transfer learning for categorizing construction hazards0
An Ensemble Learning Based Classification of Individual Finger Movement from EEG0
A neuro-inspired system for online learning and recognition of parallel spike trains, based on spike latency and heterosynaptic STDP0
Canonical Polyadic Decomposition with Auxiliary Information for Brain Computer Interface0
Capsule Attention for Multimodal EEG-EOG Representation Learning with Application to Driver Vigilance Estimation0
Channel Reflection: Knowledge-Driven Data Augmentation for EEG-Based Brain-Computer Interfaces0
Chromatic and High-frequency cVEP-based BCI Paradigm0
A Dynamic Domain Adaptation Deep Learning Network for EEG-based Motor Imagery Classification0
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