Moreover, there is currently a lack of EEG datasets for abnormal states of train drivers. To address these gaps, we propose a novel transfer learning model based on a hybrid attention mechanism, named ...

Previous studies have shown that EEG and MEG cortical oscillations in specific frequency bands (i.e., delta, theta, alpha, beta and gamma) are functionally related to cognitive processing and behavior ...

When you replace an older cell phone or TV with a new high-resolution device, the visuals can be strikingly different—all of ...

Epilepsy is one of the most common neurological disorders worldwide, characterized by recurrent seizures caused by abnormal and excessive electrical brain activity ... This research utilizes the ...

Epilepsy is one of the most common neurological disorders worldwide, characterized by recurrent seizures caused by abnormal and excessive electrical brain activity ... This research utilizes the ...

Abstract: Electroencephalogram (EEG) signal classification for neural activity monitoring and cognitive state ... extraction is efficient and effective if the behavior and distribution of the activity ...

The authors combined neurophysiological (electroencephalography [EEG]) and neurochemical (magnetic resonance spectroscopy [MRS]) measures to empirically evaluate the neural noise hypothesis of ...