About: Peter Dayan

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Peter Dayan FRS is director at the Max Planck Institute for Biological Cybernetics in Tübingen, Germany. He is co-author of Theoretical Neuroscience, an influential textbook on computational neuroscience. He is known for applying Bayesian methods from machine learning and artificial intelligence to understand neural function and is particularly recognized for relating neurotransmitter levels to prediction errors and Bayesian uncertainties. He has pioneered the field of reinforcement learning (RL) where he helped develop the Q-learning algorithm, and made contributions to unsupervised learning, including the wake-sleep algorithm for neural networks and the Helmholtz machine.

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rdf:type	Thing foaf:Person person dul:NaturalPerson Eukaryote Homo sapiens Human Animal animal eukaryote scientist species schema:Person yago:WikicatLivingPeople Scientist yago:CausalAgent100007347 yago:LivingThing100004258 yago:Object100002684 yago:Organism100004475 yago:Person100007846 yago:PhysicalEntity100001930 yago:YagoLegalActor yago:YagoLegalActorGeo yago:Whole100003553
rdfs:label	Peter Dayan (de) Peter Dayan (en)
rdfs:comment	Peter Dayan FRS is director at the Max Planck Institute for Biological Cybernetics in Tübingen, Germany. He is co-author of Theoretical Neuroscience, an influential textbook on computational neuroscience. He is known for applying Bayesian methods from machine learning and artificial intelligence to understand neural function and is particularly recognized for relating neurotransmitter levels to prediction errors and Bayesian uncertainties. He has pioneered the field of reinforcement learning (RL) where he helped develop the Q-learning algorithm, and made contributions to unsupervised learning, including the wake-sleep algorithm for neural networks and the Helmholtz machine. (en) Peter Dayan (* 1965) ist ein britischer Kognitions- und Neurowissenschaftler, der bedeutende Beiträge zur Computational Neuroscience geleistet hat. Dayan studierte Mathematik in Cambridge und wurde bei David Willshaw an der University of Edinburgh in Informatik (Künstliche Intelligenz) promoviert. Als Post-Doktorand war er bei Terry Sejnowski am Salk-Institut und an der Universität Toronto. Er war Assistant Professor am Massachusetts Institute of Technology und ab 1998 Professor am University College London, wo er seit 2002 Direktor der Gatsby Computational Neuroscience Unit ist. Im September 2018 wurde er zum Direktor am Max-Planck-Institut für biologische Kybernetik berufen. (de)
foaf:name	Peter Dayan (en)
foaf:homepage	https://www.kyb.tuebingen.mpg.de/person/95844/251691
name	Peter Dayan (en)
foaf:depiction
dcterms:subject	Rumelhart Prize laureates Alumni of the University of Edinburgh Living people Alumni of the University of Cambridge Fellows of the Royal Society 1965 births Jewish scientists
Wikipage page ID	6097857 (xsd:integer)
Wikipage revision ID	1092891945 (xsd:integer)
Link from a Wikipage to another Wikipage	Q-learning Rumelhart Prize Neural network David Wallace (physicist) Rumelhart Prize laureates Uber University College London University of Cambridge University of Edinburgh University of Edinburgh School of Informatics University of Toronto Neurotransmitter Alumni of the University of Edinburgh Living people Massachusetts Institute of Technology Max Planck Society Memory Gatsby Charitable Foundation Geoffrey Hinton Li Zhaoping Machine learning Brain simulation Helmholtz machine Max Planck Institute for Biological Cybernetics Alumni of the University of Cambridge Fellows of the Royal Society County Palatine of Tübingen 1965 births Reinforcement learning Terry Sejnowski Artificial intelligence Jewish scientists Association (psychology) PhD The Brain Prize Unsupervised learning Salk Institute Wake-sleep algorithm List of Fellows of the Royal Society elected in 2018 Postdoctoral research Bayesian method
Link from a Wikipage to an external page	https://www.kyb.tuebingen.mpg.de/person/95844/251691 http://ethos.bl.uk/OrderDetails.do%3Fuin=uk.bl.ethos.649240 https://royalsociety.org/people/peter-dayan-13807/
sameAs	Peter Dayan Peter Dayan Peter Dayan Peter Dayan Peter Dayan Peter Dayan Peter Dayan Peter Dayan Peter Dayan Peter Dayan Peter Dayan Peter Dayan
thesis title	Reinforcing connectionism : learning the statistical way (en)
thesis url	http://ethos.bl.uk/OrderDetails.do%3Fuin=uk.bl.ethos.649240
thesis year	1991 (xsd:integer)

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