O.V. Potapova - Ph.D.(Biol.), Senior Lecturer, Department of Normal Physiology, I.M. Sechenov First Moscow State Medical University E-mail: ovpotapova-14@yandex.ru V.Yu. Potapov - Deputy Director, Association of financial market participants - Non-profit partnership for the development of financial market RTS - (Moscow) E-mail: vpmail@gmail.com E.A. Yumatov - Dr.Sc. (Med.), academician of the International Academy of Science (Russian Section) Professor, Leading Specialist, National Research University «Moscow Power Engineering Institute» ; P.K. Anokhin Research Institute of Normal Physiology E-mail: eayumatov@mail.ru

Currently using various electrophysiological, neurochemical, magnetic resonance methods and devices can be registered neurophysiological processes in the brain. At the same time, all existing techniques in psychophysiology and neurophysiology not allow directly to register and study the patterns of mental activity of the brain: the thoughts, emotions, feelings, mechanisms which are beyond the objective scientific study. At the present time it was developed advanced mathematical method of wavelet analysis of the electroencephalogram (EEG), which opens up new possibilities for identifying the content of brain processes and, in particular, the mental activity of the brain.In the work of the task is to try to identify the electroencephalogram using the method of wavelet analysis of the EEG manifestations of mental activity of the brain associated with awareness and the subjective perception of the semantic content of the visual image. For this purpose, software has been developed for testing the temporal visual discriminatory abilities, awareness of the semantic content of the image at least of its display on the monitor screen. Developed information and software allows you to identify and as compare EEG indicators of two States of brain activity during which there is a subjective semantic perception of the visual image of a man, and when it is absent because of the short duration of presentation of visual images.

 

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