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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 191200 of 466 papers

TitleStatusHype
Brain-based control of car infotainment0
An amplitudes-perturbation data augmentation method in convolutional neural networks for EEG decoding0
Emotion-Agent: Unsupervised Deep Reinforcement Learning with Distribution-Prototype Reward for Continuous Emotional EEG Analysis0
EmoWrite: A Sentiment Analysis-Based Thought to Text Conversion -- A Validation Study0
End-to-end translation of human neural activity to speech with a dual-dual generative adversarial network0
Enhanced Generative Adversarial Networks for Unseen Word Generation from EEG Signals0
Enhanced motor imagery-based EEG classification using a discriminative graph Fourier subspace0
Enhancing EEG Signal Generation through a Hybrid Approach Integrating Reinforcement Learning and Diffusion Models0
EEG-based Classification of Drivers Attention using Convolutional Neural Network0
EEG-based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and their Applications0
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