| Summary: | The development of neurotechnology in recent years and the creation of self-contained artificial systems that provide purposeful activity and decision-making under stress has substantiated the necessity to develop neurophysiological research of insight (Wechsler 2014). The purpose of our study was to develop an insight modelling technology and to verify it empirically in the course of experimental research on the neurophysiological mechanisms of visual insight using objective measurement methods. Insight has 3 stages: the indeterminacy stage, the stage of insight, and the post insight period. The classical Selye model of stress can also be decomposed into the following 3 time periods: pre-stress, stress, post-stress. Although an insight period and a stress period may have similar or different time scales, what is important is common periodicity, involving the same cortical and subcortical parts. The neurophysiological mechanisms of insight in solving problems of visual recognition of contour objects were studied using psychophysical testing methods and objective measurements (Hess, Field 1999; Kounios, Beeman 2014). In our study we identify the instant of insight occurrence with the image recognition threshold under conditions of indeterminacy. A computerised version of the Gollin figure test determining the recognition threshold for incomplete fragmentary images was chosen as a model of insight. In order to analyse the distribution of activity in the human brain and the state of neural networks during the perception of the gradual increase in the contour of the image and in the process of insight development, we applied the method of functional magnetic resonance imaging (fMRI).
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