Peter Dayan

Peter Dayan serves as Managing Director and Professor in the Department of Computational Neuroscience at the Max Planck Institute for Biological Cybernetics in Tübingen, Germany, where he leads research initiatives at the intersection of neuroscience and artificial intelligence. His position encompasses strategic oversight of the department's scientific direction and operational management.

Dr. Dayan's research program fundamentally explores computational principles of brain function, with concentrated expertise in reinforcement learning algorithms, decision-making processes, and neural network modeling. His work bridges theoretical machine learning frameworks with biological plausibility, particularly investigating how Bayesian inference and predictive coding operate in neural systems. This cross-disciplinary approach has established foundational contributions to understanding learning mechanisms in both biological and artificial agents.

As head of the Department of Computational Neuroscience, he directs a research ecosystem focused on decoding neural computation through mathematical modeling, simulation, and experimental collaboration. The department maintains strong ties with Tübingen's neuroscience community and international AI research networks, fostering innovation in neuro-inspired computing architectures and cognitive modeling frameworks.