Peter Dayan
Encyclopedia
Peter Dayan is the director of the Gatsby Computational Neuroscience Unit at the University College London
. He is the a co-author of 'Theoretical Neuroscience', a leading textbook of computational and mathematical modeling of neural systems (see computational neuroscience
). He is known for applying Bayesian methods from machine learning
and Artificial Intelligence
as theories of neural function, especially relating neurotransmitter levels to Bayesian uncertainties. He began his career studying Mathematics at Cambridge followed by a PhD in Artificial Intelligence
at Edinburgh, which focused on reinforcement learning
. He then went on to do a Postdoc at the Massachusetts Institute of Technology
in Boston.
University College London
University College London is a public research university located in London, United Kingdom and the oldest and largest constituent college of the federal University of London...
. He is the a co-author of 'Theoretical Neuroscience', a leading textbook of computational and mathematical modeling of neural systems (see computational neuroscience
Computational neuroscience
Computational neuroscience is the study of brain function in terms of the information processing properties of the structures that make up the nervous system...
). He is known for applying Bayesian methods from machine learning
Machine learning
Machine learning, a branch of artificial intelligence, is a scientific discipline concerned with the design and development of algorithms that allow computers to evolve behaviors based on empirical data, such as from sensor data or databases...
and Artificial Intelligence
Artificial intelligence
Artificial intelligence is the intelligence of machines and the branch of computer science that aims to create it. AI textbooks define the field as "the study and design of intelligent agents" where an intelligent agent is a system that perceives its environment and takes actions that maximize its...
as theories of neural function, especially relating neurotransmitter levels to Bayesian uncertainties. He began his career studying Mathematics at Cambridge followed by a PhD in Artificial Intelligence
Artificial intelligence
Artificial intelligence is the intelligence of machines and the branch of computer science that aims to create it. AI textbooks define the field as "the study and design of intelligent agents" where an intelligent agent is a system that perceives its environment and takes actions that maximize its...
at Edinburgh, which focused on reinforcement learning
Reinforcement learning
Inspired by behaviorist psychology, reinforcement learning is an area of machine learning in computer science, concerned with how an agent ought to take actions in an environment so as to maximize some notion of cumulative reward...
. He then went on to do a Postdoc at the Massachusetts Institute of Technology
Massachusetts Institute of Technology
The Massachusetts Institute of Technology is a private research university located in Cambridge, Massachusetts. MIT has five schools and one college, containing a total of 32 academic departments, with a strong emphasis on scientific and technological education and research.Founded in 1861 in...
in Boston.