The analysis of local correlation characteristics of human bioelectric signals while performing cognitive tasks

Abstract

In this work, within the Memory Functions Formalism, we carry out an autocorrelation analysis of local segments of electroencephalogram signals for two groups of people. The first group consisted of 8 musicians professionally engaged in music for at least 5 years, the second group was represented by 11 people without any musical education. The subjects performed the tasks of perceiving a fragment of a musical work and perceiving a text. After determining the values of autocorrelation parameters for all time intervals, quantile regression analysis is additionally applied. As a result, areas of the cerebral cortex were identified, in the activity of which the greatest differences are manifested for the two groups of people. Finally, it is shown that the use of statistical analysis methods makes it possible to detect differences in the cognitive abilities of people when performing various cognitive tasks.