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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 201210 of 466 papers

TitleStatusHype
SSVEP-Based BCI Wheelchair Control System0
UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language0
BioGAP: a 10-Core FP-capable Ultra-Low Power IoT Processor, with Medical-Grade AFE and BLE Connectivity for Wearable Biosignal Processing0
EEG Decoding for Datasets with Heterogenous Electrode Configurations using Transfer Learning Graph Neural Networks0
UMM: Unsupervised Mean-difference Maximization0
Decoding Brain Motor Imagery with various Machine Learning techniques0
The feasibility of combining communication BCIs with FES for individuals with locked-in syndrome0
Source-Free Domain Adaptation for SSVEP-based Brain-Computer InterfacesCode0
SG-GAN: Fine Stereoscopic-Aware Generation for 3D Brain Point Cloud Up-sampling from a Single Image0
Sequential Best-Arm Identification with Application to Brain-Computer Interface0
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