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 181190 of 466 papers

TitleStatusHype
Autoregressive models for biomedical signal processing0
EEG Cortical Source Feature based Hand Kinematics Decoding using Residual CNN-LSTM Neural Network0
Multimodal Brain-Computer Interface for In-Vehicle Driver Cognitive Load Measurement: Dataset and Baselines0
Upper Limb Movement Execution Classification using Electroencephalography for Brain Computer Interface0
Optimized EEG based mood detection with signal processing and deep neural networks for brain-computer interface0
LMDA-Net:A lightweight multi-dimensional attention network for general EEG-based brain-computer interface paradigms and interpretabilityCode1
An embedding for EEG signals learned using a triplet loss0
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG SignalsCode0
Natural scene reconstruction from fMRI signals using generative latent diffusionCode1
EEG Synthetic Data Generation Using Probabilistic Diffusion ModelsCode1
Show:102550
← PrevPage 19 of 47Next →

No leaderboard results yet.