Quantitative assessment of the brain neural networks activation in dynamics

Abstract

Abstract The quantitative estimation method of activation volumes of large-scale neural networks in a human brain in dynamics has been developed and tested. Processing of face recognition data in the human brain neural networks is carried out by the method of functional magnetic resonance imaging. The results of experiments showed that in the process of recognizing images of faces, the activation of the subjects’ brains differs in different phases of stimulation. The developed method allows one to obtain quantitative information on restructuring of large-scale neural networks of subjects. The results of the study can be used to create learning algorithms in computer vision systems.