Study of sensory information processing depending on visual stimulus complexity based on multichannel EEG signals
Keywords:
visual information processing, ambiguity of visual information, beta-frequency range, electroencephalogram (EEG)Abstract
Introduction: Analysis of electrical activity in the cortical neural network during the processing of visual information is one of
the most interesting issues in modern neuroscience. The particular attention of the researchers is attracted by the study of neural
activity during complex visual stimuli processing. Purpose: Studying the process of sensory information processing in the cortical
neural network based on recorded electrical activity signals (EEG). Results: We have studied neural activity during visual information
processing based on the stimulus-related change in the spectral EEG energy in the 15–30 Hz frequency band. Using the developed
approach, we analyzed the influence of the visual stimulus complexity on the features of spatio-temporal neural activity. It has been
found that at low complexity the spectral amplitude of the EEG in the range of 15–30 Hz increases mainly in the parietal zone. With
increasing complexity, the spectral amplitude of the EEG increases simultaneously in different parts of the cortex, mainly in the frontal
region. Practical relevance: The identified features of neural dynamics can be used in the development of passive brain-computer
interfaces to monitor a person’s cognitive state and evaluate the cognitive load in real time.