Zahra Aminzare, Ph.D.

Assistant Professor
Research focus: 

Mathematical and Computational Neuroscience, Applied Dynamical Systems, Systems Biology



Dr. Aminzare is interested in employing and developing mathematical models,  dynamical systems techniques, and numerical simulations to better understand the collective behavior of coupled cell networks. The main goal of this research is to study the effect of the intrinsic dynamics of network elements and their coupling interactions on the emergence of various patterns in networks. Part of my work is motivated by neuroscience applications, such as understanding the activity of central pattern generator networks in insects by studying the underlying mechanisms of gait patterns in insects and transition between the gaits. I am also interested in understanding the collective behavior of bacteria, such as E. coli, in response to external signals and the dynamics of their decision-making in response to multiple external signals.

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