IIMCNet: Intra- and Inter-modality Correlation Network for Hybrid EEG-fNIRS Brain-Computer Interface
Abstract: Hybrid Brain-Computer Interface (BCI) enhances accuracy and reliability by leveraging the complementary information provided by multi-modality signal fusion. EEG-fNIRS, a fusion of ...
Abstract: Neurofeedback training (NFT) has been widely used in motor rehabilitation. However, NFT combined with motor imagery-based brain-computer interface (MI-BCI) faces challenges such as mental ...
Scientists working to enhance brain-computer interface (BCI) technology—which allows people to control devices with their thoughts—have found they can improve the performance of electrodes implanted ...
BISC is an ultra-thin neural implant that creates a high-bandwidth wireless link between the brain and computers. Its tiny single-chip design packs tens of thousands of electrodes and supports ...
A new brain-computer interface (BCI) platform unveiled by researchers at Columbia University, New York-Presbyterian Hospital, Stanford University, and the University of Pennsylvania promises to expand ...
A new brain implant stands to transform human-computer interaction and expand treatment possibilities for neurological conditions such as epilepsy, spinal cord injury, ALS, stroke, and ...
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