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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 361370 of 466 papers

TitleStatusHype
Investigating EEG-Based Functional Connectivity Patterns for Multimodal Emotion Recognition0
An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing0
Mindfulness Improves Brain Computer Interface Performance by Increasing Control over Neural Activity in the Alpha Band0
Multi-Scale Neural network for EEG Representation Learning in BCI0
DeepBrain: Towards Personalized EEG Interaction through Attentional and Embedded LSTM Learning0
Motor Imagery Classification of Single-Arm Tasks Using Convolutional Neural Network based on Feature Refining0
Towards a Fast Steady-State Visual Evoked Potentials (SSVEP) Brain-Computer Interface (BCI)0
Towards Brain-Computer Interfaces for Drone Swarm Control0
Classification of High-Dimensional Motor Imagery Tasks based on An End-to-end role assigned convolutional neural networkCode0
MindReading: An Ultra-Low-Power Photonic Accelerator for EEG-based Human Intention Recognition0
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