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Andreas Herz is a researcher focused on computational neuroscience, examining how the brain handles complex information processing challenges through non-linear dynamics and stochastic processes. His work encompasses the analysis of brain dynamics using various model systems, such as acoustic communication in grasshoppers and spatial navigation in rodents, to understand sensory integration and pattern recognition. He has developed experimental approaches to disentangle intrinsic processing steps of neural responses, positioning his work at the intersection of neuroscience, physics, psychology, and computer science. Furthermore, his scientific approach applies methods from dynamical systems and probability theory to analyze electrophysiological data in collaboration with both local and international partners. Over the years, he has also contributed to fields such as applied mathematics, statistical physics, game theory, and theoretical immunology, particularly in the context of olfactory learning.
Administered by the Faculty of Economics. GRE is NOT required for the standard M.Sc. Economics.