Publikationen von P Dayan

Dayan, P.; Gagne, C.: Multiple steps to the precipice: Risk aversion and worry in sequential decision-making. ICML 2021 Workshop on Computational Approaches to Mental Health (CA2MH Workshop) (2021)

Dayan, P.: Computational Psychiatry. Workshop: Minds, Models and Mechanisms: Current Trends in Philosophy of Psychiatry, Saarbrücken, Germany (2021)

Dayan, P.: Peril, Prudence and Planning as Risk, Avoidance and Worry. Berlin School of Mind and Brain: SCIoI Distinguished Speaker Series , Berlin, Germany (2021)

Dayan, P.: Peril, Prudence and Planning as Risk, Avoidance and Worry. California Institute of Technology: T&C Chen Center for Social Decision Neuroscience Seminar, Pasadena, CA, USA (2021)

Dayan, P.: Peril, Prudence and Planning as Risk, Avoidance and Worry. The Leslie and Susan Gonda (Goldschmied) Multidisciplinary Brain Research Center: Bar-Ilan University, Ramat Gan, Israel (2021)

Dayan, P.: Neural Reinforcement Learning. Brain Awareness Week: Webinar Series Regional Centre for Biotechnology, Haryana, India (2021)

Dayan, P.: Peril, Prudence and Planning as Risk, Avoidance and Worry. Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands (2021)

Dayan, P.: Modelling and Manipulating Behaviour Using Recurrent Networks. Donders Institute for Brain, Cognition and Behaviour: Donders lectures, Nijmegen, The Netherlands (2021)

Dayan, P.; Gagne, C.: Peril, Prudence and Planning as Risk, Avoidance and Worry. The Fields Institute for Research in Mathematical Sciences: 2020-2021 Machine Learning Advances and Applications Seminar, Toronto, Canada (2021)

Dayan, P.: Replay and Preplay in Human Planning. Jülich Forschungszentrum: Institute of Neuroscience and Medicine, Computational and Systems Neuroscience (INM-6 / IAS-6), Jülich, Germany (2020)

Dayan, P.: Replay in Offline Planning. Pattern Recognition in Neuroimaging Summer School 2020 (PRNI), Wien, Austria (2020)

Dayan, P.: Replay. 43th Annual Meeting of the Japan Neuroscience Society, Kobe, Japan (2020)

Dayan, P.: Modelling and Manipulating Behaviour Using Recurrent Networks. Machine Learning in Science: Virtual Cluster Conference, Tübingen, Germany (2020)

Dayan, P.: Model based and model free interactions: inference, influence and confidence. 2020 Intelligent Systems Summer Colloquium, Tübingen, Germany (2020)

Laurent, G.; Yaksi, E.; Lüscher, C.; Ming, G.-L.; Roberts, A.; Dayan, P.; Bale, T.; Tracey, I.: The Brain Debate. FENS 2020 Virtual Forum, Glasgow, UK (2020)

Dayan, P.: Machine learning for Computational Neuroscience. Machine Learning Summer School (MLSS 2020), Tübingen, Germany (2020)

Dayan, P.: All Models Are Wronged. Gordon Research Conference: Functions of the Basal Ganglia from Thought to Action , Ventura, CA, USA (2020)

Dayan, P.: Neural Reinforcement Learning. Forschungskolloquium 2020 der Medizinischen Fakultät, Tübingen, Germany (2020)

Dayan, P.: Savouring and its Modulation by Prediction Errors. Central European University, Budapest, Hungary (2019)

Dayan, P.; Iigaya, K.; Hauser, T.; Kurth-Nelson, Z.; O'Doherty, J.; Dolan, R.: Savouring and its Modulation by Prediction Errors. Departmental Colloquium Max Planck for Biological Cybernetics, Tübingen, Germany (2019)