An approach for links reconstruction in human brain during a learning process using electroencephalography data

In this paper, we describe the results of application a mathematical method to analyze multidimensional time series to identify changes in functional connections in the human brain that occur while viewing educational video lectures. This mathematical method is based on the establishment of mutual dependence of processes in terms of their conditional probability and is known in the literature as a Recurrent Measure of Dependence. Multichannel signals of electrical activity of the human brain were obtained during a series of neurophysiological experiments on the registration of electroencephalograms (EEG). With the application of a mathematical technique, qualitative changes in the dynamics of the brain were shown in the learning process in comparison with the background activity, caused by activation of the processes of perception and processing of external visual information.