Contact

Peter Dayan

Address: Max-Planck-Ring 8
72076 Tübingen
Room number: 211
Phone: +49 7071 601 900
Fax: +49 7071 601 616
E-Mail: peter.dayan

 

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Peter Dayan

Position: Director  Unit: 

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Books (1):

Dayan P and Abbott LF: Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems, 460, MIT Press, Cambridge, MA, USA, (2005). ISBN: 0-262-54185-8

Articles (8):

Luo Y, Hétu S, Lohrenz T, Hula A, Dayan P, Landesman Ramey S, Sonnier-Netto L, Lisinski J, LaConte S, Nolte T, Fonagy P, Rahmani E, Montague P and Ramey C (November-2018) Early childhood investment impacts social decision-making four decades later Nature Communications 9(4705) 1-10.
Bicknell BA, Pujic Z, Dayan P and Goodhill GJ (June-2018) Control of neurite growth and guidance by an inhibitory cell-body signal PLoS Computational Biology 14(6) 1-25.
Hula A, Vilares I, Lohrenz T, Dayan P and Montague PR (February-2018) A model of risk and mental state shifts during social interaction PLoS Computational Biology 14(2) 1-20.
Lloyd K and Dayan P (January-2018) Interrupting behaviour: Minimizing decision costs via temporal commitment and low-level interrupts PLoS Computational Biology 14(1) 1-23.
Rigoli F, Chew B, Dayan P and Dolan RJ (January-2018) Learning Contextual Reward Expectations for Value Adaptation Journal of Cognitive Neuroscience 30(1) 50-69.
Danihelka I, Lakshminarayanan B, Uria B, Wierstra D and Dayan P (May-2017) Comparison of Maximum Likelihood and GAN-based training of Real NVPs - . submitted
Hauser TU, Moutoussis M, Iannaccone R, Brem S, Walitza S, Drechsler R, Dayan P and Dolan RJ (April-2017) Increased decision thresholds enhance information gathering performance in juvenile Obsessive-Compulsive Disorder (OCD) PLoS Computational Biology 13(4) 1-19.
O'Doherty J, Dayan P, Schultz J, Deichmann R, Friston K and Dolan RJ (April-2004) Dissociable roles of ventral and dorsal striatum in instrumental conditioning Science 304(5669) 452-454.

Conference papers (2):

Raposo D, Dayan P, Hassabis D and Battaglia P (July-2018) A model of structure learning, inference, and generation for scene understanding, 39th Annual Meeting of the Cognitive Science Society (CogSci 2017): Computational Foundations of Cognition, Curran, Red Hook, NY, USA, 2956.
Rae J, Dyer C, Dayan P and Lillicrap T (July-2018) Fast Parametric Learning with Activation Memorization, 35th International Conference on Machine Learning (ICML 2018), International Machine Learning Society, Madison, WI, USA, 4228-4237, Series: PMLR Proceedings of Machine Learning Research ; 80.

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Last updated: Monday, 22.05.2017