Properties (54)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Person
|
| gptkbp:academicAdvisor |
gptkb:Peter_Dayan
|
| gptkbp:affiliation |
gptkb:University_College_London
|
| gptkbp:awards |
Royal_Society_Fellow
|
| gptkbp:birthPlace |
gptkb:United_Kingdom
|
| gptkbp:birthYear |
1965
|
| gptkbp:collaborations |
gptkb:Yoshua_Bengio
gptkb:David_Silver gptkb:D._J._C._MacKay gptkb:Richard_S._Sutton Demis Hassabis |
| gptkbp:community |
gptkb:UCL
DeepMind Gatsby Computational Neuroscience Unit |
| gptkbp:contribution |
Neural Networks
Statistical Learning Theory Neural Computation Decision Making Models |
| gptkbp:education |
gptkb:University_of_Cambridge
gptkb:University_of_Edinburgh |
| gptkbp:field |
Artificial Intelligence
Machine Learning Neuroscience |
| https://www.w3.org/2000/01/rdf-schema#label |
Peter Dayan
|
| gptkbp:influenced |
gptkb:Bayesian_Networks
gptkb:Social_Robotics gptkb:Dynamic_Programming Artificial Neural Networks Cognitive Psychology Deep Learning Game Theory Cognitive Neuroscience Information Theory Statistical Mechanics Neuroeconomics Neural Coding Optimal Control Behavioral Economics Markov Decision Processes Cognitive Robotics Computational Psychology Machine Perception Human-Computer_Interaction Human-Robot_Interaction Artificial_Intelligence_Ethics Probabilistic_Models |
| gptkbp:influencedBy |
gptkb:Geoffrey_Hinton
gptkb:David_H._Ackley |
| gptkbp:knownFor |
Computational Neuroscience
|
| gptkbp:notableWork |
Theoretical Neuroscience
|
| gptkbp:publishes |
Theoretical_Neuroscience:_Computational_and_Mathematical_Modeling_of_Neural_Systems
|
| gptkbp:researchInterest |
Bayesian Inference
Cognitive Science Reinforcement Learning |