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 ...
Brain-computer interface startups are surging — and poised to expand technologically and geographically. After early ...
Morning Overview on MSN
Scientists found a new way to decode the brain’s hidden language
The idea of “reading minds” has shifted from science fiction to a concrete engineering challenge, and the latest ...
Researchers have created a new kind of 3D computer chip that stacks memory and computing elements vertically, dramatically ...
After traumatic brain injury (TBI), some patients may recover completely, while others retain severe disabilities. Accurately ...
Modern Engineering Marvels on MSN
China’s brain implant leap: Outpacing Musk in real-world BCI
Can a thought-controlled wheelchair or robotic dog become as second nature to control as the movement of one’s legs and arms? In Shanghai, scientists have shown that this is no longer the stuff of ...
Neuroscience is the 'Brain Decoder,' translating brain signals utilizing BCIs and computational neuroscience. In India, ...
Previous research has found that the human brain reaches maturity sometime in the 20s, but a new study suggests that it never stops developing. Neuroscientists at the University of Cambridge have ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback