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 221230 of 466 papers

TitleStatusHype
In the realm of hybrid Brain: Human Brain and AI0
On The Effects Of Data Normalisation For Domain Adaptation On EEG Data0
Cross Task Neural Architecture Search for EEG Signal ClassificationsCode1
Mental arithmetic task classification with convolutional neural network based on spectral-temporal features from EEG0
A Novel Semi-supervised Meta Learning Method for Subject-transfer Brain-computer Interface0
Subject-independent trajectory prediction using pre-movement EEG during grasp and lift task0
Transfer Learning of an Ensemble of DNNs for SSVEP BCI Spellers without User-Specific TrainingCode1
Zydeco-Style Spike Sorting Low Power VLSI Architecture for IoT BCI Implants0
Classification of Electroencephalograms during Mathematical Calculations Using Deep Learning0
EEG-BBNet: a Hybrid Framework for Brain Biometric using Graph Connectivity0
Show:102550
← PrevPage 23 of 47Next →

No leaderboard results yet.