Females and males are known to be different in the prevalences of multiple psychiatric
disorders, while the underlying neural mechanisms are unclear. Based on non-invasive …

Motor imagery (MI) electroencephalography (EEG) signals are widely used in BCI systems.
MI tasks are performed by imagining doing a specific task and classifying MI through EEG …

The target detection based on electroencephalogram (EEG) signals is a new target
detection method. This method recognizes the target by decoding the specific neural …

Neurophysiological measures have been used in the field of education to improve our
knowledge about the cognitive processes underlying learning. Furthermore, the combined …

Decoding natural hand movements using Movement-Related Cortical Potentials (MRCPs)
features is crucial for the natural control of neuroprosthetics. However, current research has …

Diagnosing and treating dementia, including mild cognitive impairment (MCI), is challenging
due to diverse disease types and overlapping symptoms. Early MCI detection is vital as it …

To satisfy the development trend of a few workers or unmanned production in industries,
especially in dangerous mining industry, the safety patrol robot is required to replace the …

Based on non-invasive neuroimaging techniques and graph theory-based network
analyses, many researchers have tried to use small-world network model to elucidate sex …

The understanding of how users in a network update their opinions based on their
neighbours' opinions has attracted a great deal of interest in the field of network science …