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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 281290 of 466 papers

TitleStatusHype
Transferring BCI models from calibration to control: Observing shifts in EEG features0
Translating Mental Imaginations into Characters with Codebooks and Dynamics-Enhanced Decoding0
Translating neural signals to text using a Brain-Computer Interface0
T-WaveNet: Tree-Structured Wavelet Neural Network for Sensor-Based Time Series Analysis0
Two-step Input Spatial Auditory BCI for Japanese Kana Characters0
UMM: Unsupervised Mean-difference Maximization0
UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language0
Unlocking Non-Invasive Brain-to-Text0
Unsupervised Motor Imagery Saliency Detection Based on Self-Attention Mechanism0
Unveiling Thoughts: A Review of Advancements in EEG Brain Signal Decoding into Text0
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