Dayan , Peter
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Scan day: 07 February 2014 UTC
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Description: Representation and learning in neural processing systems, unsupervised learning, reinforcement learning.
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.
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| Page title: | Peter Dayan |
| Keywords: | neural networks, machine learning, reinforcement learning, EM algorithm |
| Description: | Gatsby Computational Neuroscience Unit, University College London. Research interests: Reinforcement Learning, Computational Neuroscience, Machine Learning |
| IP-address: | 128.40.213.242 |