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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 371380 of 466 papers

TitleStatusHype
Tiny noise, big mistakes: Adversarial perturbations induce errors in Brain-Computer Interface spellersCode1
EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications0
EEG-based Drowsiness Estimation for Driving Safety using Deep Q-Learning0
Capsule Attention for Multimodal EEG-EOG Representation Learning with Application to Driver Vigilance Estimation0
Navigating in Virtual Reality using Thought: The Development and Assessment of a Motor Imagery based Brain-Computer Interface0
Different Set Domain Adaptation for Brain-Computer Interfaces: A Label Alignment ApproachCode1
Deep Learning Decoding of Mental State in Non-invasive Brain Computer Interface0
Evaluating a Semi-Autonomous Brain-Computer Interface Based on Conformal Geometric Algebra and Artificial Vision0
Mutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCICode0
Translating neural signals to text using a Brain-Computer Interface0
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