Neuroscience and Beyond

In this episode, we have the distinct privilege of speaking with Prof. Peter Dayan, director at the Max Planck Institute for Biological Cybernetics in Germany. Prof. Dayan is renowned for using methods from machine learning to understand brain function, particularly linking neurotransmitter levels to prediction errors and uncertainty. His pioneering work in reinforcement learning and co-development of the Q-learning algorithm, have shaped the field of computational neuroscience in profound ways. He is also the co-author of the highly influential textbook Theoretical Neuroscience and co-founder of the prestigious Gatsby Computational Neuroscience Unit. In 2012, Prof. Dayan received the Rumelhart Prize and in 2017 he was awarded the Brain Prize. On a personal note, it was truly an immense honour to sit down with such a brilliant mind like Prof. Dayan. He was incredibly kind and generous with his time, staying with me until 10:30 PM to answer all of my questions.

Join us as we explore decision making, learning, and memory from a computational perspective.

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This podcast is supported by the International Max Planck Research School for Neurosciences, the Cluster of Excellence Multiscale Bioimaging, and the European Neuroscience Institute in Göttingen. If you want to support us, please subscribe to our channel and do not hesitate to drop us a comment under our videos.

Neuroscience and Beyond team:

Svilen Georgiev

Kristina Jevdokimenko

Ahsen Konaç Sayıcı

Beatriz Apgaua

Mels Akhmetali

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