A5064432450- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Advanced Memory and Neural Computing
- Cognitive Science and Mapping
South Ural State University
2019-2024
Chelyabinsk State University
2024
Abstract Intelligence is increasingly recognized as a critical factor in successful behavioral and emotional regulation. Neuroimaging techniques coupled with machine learning algorithms have proven to be valuable tools for uncovering the neural foundations of individual cognitive abilities. Nevertheless, current electroencephalograph (EEG) studies primarily focus on classification tasks predict intelligence category subjects (e.g., high, medium, or low intelligence), rather than providing...
Abstract The use of machine learning techniques combined with advanced neuroimaging methods to reveal a complex relationship between patterns neuronal activity and behavioral characteristics is an actively developing area in modern neuroscience. Investigating brain data non-invasively recorded resting-state conditions has substantially enhanced our understanding the foundations cognitive functions. However, results more recent studies using functional magnetic resonance imaging suggest that...