Abstract
The general patterns of restructuring the neural networks of the entire human brain are established when the threshold for image recognition in conditions of uncertainty is reached. This result was achieved using a combination of dynamic images and brain dynamics according to BOLD (blood-oxygen-level-dependent) - signal, magnetic resonance imaging. Indicators that when the threshold level of image recognition of objects in humans in the brain is reached, an increase in the BOLD signal occurs, and in other states of the brain, a decrease in the activity of neural networks. All areas of the brain whose activation is maximal in time, and the corresponding recognition thresholds, solutions, and tasks, also showed that this activity is less under subthreshold and even subthreshold conditions for creating dynamic images. Identified areas where this activity is minimal. Interpretation of data carried out in the framework of multichannel and multilevel models of the decision-making system for visual signals.
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