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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 421430 of 466 papers

TitleStatusHype
Beware of Overestimated Decoding Performance Arising from Temporal Autocorrelations in Electroencephalogram Signals0
Bi-Band ECoGNet for ECoG Decoding on Classification Task0
Binarization Methods for Motor-Imagery Brain-Computer Interface Classification0
BioGAP: a 10-Core FP-capable Ultra-Low Power IoT Processor, with Medical-Grade AFE and BLE Connectivity for Wearable Biosignal Processing0
Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning0
Brain-based control of car infotainment0
Brain Computer Interface: Deep Learning Approach to Predict Human Emotion Recognition0
Brain Computer Interface Technology for Future Battlefield0
Brain-Computer Interface with Corrupted EEG Data: A Tensor Completion Approach0
Brain informed transfer learning for categorizing construction hazards0
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