Peter Dayan is Professor of Computational Neuroscience at the Gatsby  Unit in University College London. He studied mathematics at the  University of Cambridge, and did a PhD in Cognitive Science at the  University of Edinburgh, focusing on statistical and neural network  models of learning. After postdoctoral training at the Salk Institute  and the University of Toronto, he was an assistant professor at MIT. He  moved to London in 1998 to help found the Gatsby Unit. 

Honors and awards

  • 2012 the  Rumelhart Prize

Research Interest

I build mathematical and computational models of neural processing, with a particular emphasis on representation and learning. The main focus is on reinforcement learning and unsupervised learning, covering the ways that animals come to choose appropriate actions in the face of rewards and punishments, and the ways and goals of the process by which they come to form neural representations of the world. The models are informed and constrained by neurobiological, psychological and ethological data.  A more recent interest is failure modes of decision making and the nascent field  of computational psychiatry.

I have long worked on the main neuromodulatory systems in the brain: acetylcholine, dopamine, serotonin and norepinephrine. I have modelled their involvement in appetitive and aversive reinforcement, vigour, uncertainty and interruption.

I collaborate with a wide range of theoretical and experimental groups.

 

 

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Nils Axelsen Ralf Hemmingsen Lauritz Holm-Nielsen Ralf Hemmingsen Jens Oddershede Jens Frederik Rehfeld Anders Bjørklund