Researchers develop a novel topology-aware multiscale feature fusion network to enhance the accuracy and robustness of EEG-based motor imagery decoding Electroencephalography (EEG) is a fascinating ...
Recent advances in deep learning have promoted EEG decoding for BCI systems, but data sparsity—caused by high costs of EEG collection and ...
Current automated STD methods perform well under controlled conditions but degrade sharply in low SNR or with unseen targets, while standalone BCI ...
Datasea (Nasdaq:DTSS) announced progress on R&D efforts related to its brain-computer interface (BCI) technologies.
A research paper by scientists at the Beijing Institute of Technology proposed a brain–machine hybrid intelligent system for ...
A specially created odor delivery device, along with machine learning-based analysis of scalp-recorded electroencephalogram, has enabled researchers at the University of Tokyo to see when and where ...
Recent advances in artificial intelligence (AI) and machine learning (ML) have transformed our ability to decode complex ...
Dementia is a group of disorders that gradually impair memory, thinking and daily functioning. Alzheimer's disease (AD), the most common form of dementia, affects about 7.2 million Americans aged 65 ...
Neuroscience is the 'Brain Decoder,' translating brain signals utilizing BCIs and computational neuroscience. In India, ...
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