Faculty member of Institute for Research in Fundamental Sciences: The aim of brain network modeling is to identify brain disorders

Date : 2018-01-25

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Dr. Marzieh Zare: The aim of brain network modeling is to find the functions and natural patterns within the brain in order to identify brain disorders. She added that in modeling of cognitive systems particularly brain network modeling, there is an attempt to simulate real brain networks by changing variables in dynamic equations. She also highlighted the point that these methods could be used at a considerably lower expense compared to the real experiments.

She also mentioned that by development and the use of artificial intelligence machines, desirable achievements could be obtained in diagnosis and treatment of diseases as well as progression of research in various branches of technology. Dr. Marzieh Zare added that the use of artificial intelligence and pattern recognition is useful for understanding the etiology of diseases (such as Parkinson's disease) as well as methods of prevention and treatment. She emphasized that pattern recognition deepens our knowledge of cognitive systems and finally the nature as it is. Studying the brain, as a complex system, is currently a research strategy and brain network modeling for achieving the appropriate patterns is of particular significance. This paves the way for identification of disorders in brain networks and facilitation of preventive and therapeutic approaches.

Dr. Zare highlighted the role of CSTC in development of this knowledge in universities and research centers and reminded that with support of the CSTC, extensive plans have been conducted in brain related fields, cognitive sciences and artificial intelligence. She finally added that we hope these research works facilitate the progress in cognitive sciences as well as diagnosis and treatment of diseases using novel domestic science and technology.
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