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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 111120 of 466 papers

TitleStatusHype
Unveiling Thoughts: A Review of Advancements in EEG Brain Signal Decoding into Text0
Evaluating Fast Adaptability of Neural Networks for Brain-Computer InterfaceCode0
MindArm: Mechanized Intelligent Non-Invasive Neuro-Driven Prosthetic Arm System0
Psychometry: An Omnifit Model for Image Reconstruction from Human Brain Activity0
Synthesizing EEG Signals from Event-Related Potential Paradigms with Conditional Diffusion ModelsCode1
Towards gaze-independent c-VEP BCI: A pilot studyCode1
S-JEPA: towards seamless cross-dataset transfer through dynamic spatial attentionCode1
Transferring BCI models from calibration to control: Observing shifts in EEG features0
Uncertainty Quantification for cross-subject Motor Imagery classificationCode0
Geometric Neural Network based on Phase Space for BCI-EEG decodingCode0
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