SOTAVerified

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 4150 of 466 papers

TitleStatusHype
Different Set Domain Adaptation for Brain-Computer Interfaces: A Label Alignment ApproachCode1
A magnetoencephalography dataset for motor and cognitive imagery-based brain-computer interfaceCode1
Device JNEEG to convert Jetson Nano to brain-Computer interfaces. Short reportCode1
Deep comparisons of Neural Networks from the EEGNet familyCode1
Decoding Human Attentive States from Spatial-temporal EEG Patches Using TransformersCode1
FingerFlex: Inferring Finger Trajectories from ECoG signalsCode1
HappyFeat -- An interactive and efficient BCI framework for clinical applicationsCode1
MVCNet: Multi-View Contrastive Network for Motor Imagery ClassificationCode1
EEG Synthetic Data Generation Using Probabilistic Diffusion ModelsCode1
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEGCode1
Show:102550
← PrevPage 5 of 47Next →

No leaderboard results yet.