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Wiktor Młynarski's research group focuses on exploring the theoretical principles of neural computations, with a particular emphasis on sensory systems. His studies investigate how complex natural stimuli such as sounds and images are represented in neural activity. The group examines how the brain uses these representations to infer states of the environment and how these inferences support flexible behavior. His work relies on information theory and computer science, particularly probabilistic machine learning, to develop optimal information processing strategies that approximate biological systems. Młynarski aims to confront theoretical models with experimental reality through close collaborations with experimental groups. By applying this approach, he hopes to identify general rules that govern information processing in living organisms.
Administered by the Faculty of Economics. GRE is NOT required for the standard M.Sc. Economics.