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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 231240 of 466 papers

TitleStatusHype
Mu-suppression detection in motor imagery electroencephalographic signals using the generalized extreme value distribution0
Navigating in Virtual Reality using Thought: The Development and Assessment of a Motor Imagery based Brain-Computer Interface0
Neural Network-Based Feature Extraction for Multi-Class Motor Imagery Classification0
NeuroAssist: Enhancing Cognitive-Computer Synergy with Adaptive AI and Advanced Neural Decoding for Efficient EEG Signal Classification0
Neuromorphic Online Clustering and Classification0
Neurophysiological Analysis in Motor and Sensory Cortices for Improving Motor Imagination0
Neuroprosthetic decoder training as imitation learning0
Neurorehab: An Interface for Rehabilitation0
Noisy Neural Language Modeling for Typing Prediction in BCI Communication0
Non-invasive two-step strategy BCI: brain-muscle-hand interface0
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