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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 261270 of 466 papers

TitleStatusHype
Prediction of Memory Retrieval Performance Using Ear-EEG Signals0
PreMovNet: Pre-Movement EEG-based Hand Kinematics Estimation for Grasp and Lift task0
Pretraining Large Brain Language Model for Active BCI: Silent Speech0
Protecting Multiple Types of Privacy Simultaneously in EEG-based Brain-Computer Interfaces0
Protecting Privacy of Users in Brain-Computer Interface Applications0
Prototype-based Domain Generalization Framework for Subject-Independent Brain-Computer Interfaces0
Pseudo-online framework for BCI evaluation: A MOABB perspective0
Psychometry: An Omnifit Model for Image Reconstruction from Human Brain Activity0
QSVM-QNN: Quantum Support Vector Machine Based Quantum Neural Network Learning Algorithm for Brain-Computer Interfacing Systems0
Real or Virtual? Using Brain Activity Patterns to differentiate Attended Targets during Augmented Reality Scenarios0
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