Publications of P Dayan

Dayan, P.; Hinton, G.: Feudal Reinforcement Learning. In: Advances in Neural Information Processing Systems 5, pp. 271 - 278 (Eds. Hanson, S.; Cowan, J.; Giles, C.). Sixth Annual Conference on Neural Information Processing Systems (NIPS 1992), Denver, CO, USA, November 30, 1992 - December 03, 1992. Morgan Kaufmann, San Mateo, CA, USA (1993)

Montague, P.; Dayan, P.; Nowlan, S.; Pouget, A.; Sejnowski, T.: Using Aperiodic Reinforcement for Directed Self-Organization During Development. In: Advances in Neural Information Processing Systems 5, pp. 969 - 976 (Eds. Hanson, S.; Cowan, J.; Giles, C.). Sixth Annual Conference on Neural Information Processing Systems (NIPS 1992), Denver, CO, USA, November 30, 1992 - December 03, 1992. Morgan Kaufmann, San Mateo, CA, USA (1993)

Berns, G.; Dayan, P.; Sejnowski, T.: Correlation-based development of disparity sensitivity. 1990 Conference on Analysis and Modeling of Neural Systems, Berkeley, CA, USA, July 25, 1990 - July 27, 1990. Analysis and modeling of neural systems, (1992)

Dayan, P.; Goodhill, G.: Perturbing Hebbian Rules. In: Advances in Neural Information Processing Systems 4, pp. 19 - 26 (Eds. Moody, J.; Hanson, S.; Lippmann, R.). 4th International Conference on Neural Information Processing Systems (NIPS 1991), Denver, CO, USA, December 02, 1991 - December 05, 1991. Morgan Kaufmann, San Mateo, CA, USA (1992)

Montague, P.; Dayan, P.; Sejnowski, T.: Volume learning: Signalling covariance through neural tissue. 1990 Conference on Analysis and Modeling of Neural Systems, Berkeley, CA, USA, July 25, 1990 - July 27, 1990. Analysis and modeling of neural systems, (1992)

Dayan, P.: Navigating Through Temporal Difference. In: Advances in Neural Information Processing Systems 3, pp. 464 - 470 (Eds. Lippmann, R.; Moody, J.; Touretzky, D.). 4th Annual Conference on Neural Information Processing Systems (NIPS 1990), Denver, CO, USA, November 26, 1990 - November 29, 1990. Morgan Kaufmann, San Mateo, CA, USA (1991)

Dayan, P.: Reinforcement comparison. In: Connectionist Models: Proceedings of the 1990 Summer School, pp. 45 - 51 (Eds. Touretzky, D.; Elman, J.; Sejnowski, T.; Hinton, G.). 1990 Connectionist Models Summer School, San Diego, CA, USA. Morgan Kaufmann, San Mateo, CA, USA (1991)

Kuehnel, A.; Guzman, A.; Chebolu, S.; Ghralow, M.; Kaduk, K.; Dayan, P.: Metabolic Signals Shape Learning and Decision-making. In 32nd Annual Meeting of the Society for the Study of Ingestive Behavior (SSIB 2025). 32nd Annual Meeting of the Society for the Study of Ingestive Behavior (SSIB 2025), Oxford, UK, July 28, 2025 - August 01, 2025. (2025)

Antonov, G.; Akam, T.; Dayan, P.: A maze in action: behavioural insights into exploration. In RLDM 2025: Multi-disciplinary Conference on Reinforcement Learning and Decision Making, p. 54. 6th Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2025), Dublin, Ireland, June 10, 2025 - June 14, 2025. (2025)

Bruijns, S.; Eckstein, M.; Dayan, P.: Illuminating hidden state inference in mice with artificial neural networks. In RLDM 2025: Multi-disciplinary Conference on Reinforcement Learning and Decision Making, p. 146. 6th Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2025), Dublin, Ireland, June 10, 2025 - June 14, 2025. (2025)

Diaconescu, A.; Laessing, P.; Zai, C.; Kennedy, J.; Karvelis, P.; Dayan, P.: Computational Mechanisms of Hopelessness and Pavlovian Biases in Suicidality: Integrating Active Inference and Reinforcement Learning Models. In 50. Jahrestagung Psychologie & Gehirn (PuG 2025), pp. 34 - 35. 50. Jahrestagung Psychologie & Gehirn (PuG 2025), Würzburg, Germany, June 18, 2025 - June 21, 2025. (2025)

Graham, T.; Doeller, C.; Dayan, P.: The road less travelled: Exploration under contextual uncertainty during multi-step planning. In RLDM 2025: Multi-disciplinary Conference on Reinforcement Learning and Decision Making, p. 443. 6th Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2025), Dublin, Ireland, June 10, 2025 - June 14, 2025. (2025)

Nazemorroaya, A.; Bang, D.; Dayan, P.: Insights into Inhibition. In RLDM 2025: Multi-disciplinary Conference on Reinforcement Learning and Decision Making, p. 876. 6th Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2025), Dublin, Ireland, June 10, 2025 - June 14, 2025. (2025)

Sui, X.; Lloyd, K.; Dayan, P.: Exploring Optimal Risk-Sensitive Behavior in the Balloon Analogue Risk Task (BART). In RLDM 2025: Multi-disciplinary Conference on Reinforcement Learning and Decision Making, p. 1144. 6th Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2025), Dublin, Ireland, June 10, 2025 - June 14, 2025. (2025)

Teng, T.; Dayan, P.: Level Heading: Meta-Decision making about Hierarchical Planning. In RLDM 2025: Multi-disciplinary Conference on Reinforcement Learning and Decision Making, p. 1165. 6th Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2025), Dublin, Ireland, June 10, 2025 - June 14, 2025. (2025)

Diaconescu, A.; Laessing, P.; Karvelis, P.; Dayan, P.: Formalizing Pavlovian Biases During Probabilistic Aversive Learning for Suicide Prevention. In Biological Psychiatry, 95 (10 Supplement), p. S63. 79th Annual Scientific Meeting of the Society of Biological Psychiatry (SOBP 2024), Austin, TX, USA, May 09, 2024 - May 11, 2024. Elsevier, New York (2024)

Nath, S.; Shen, K.; Dayan, P.; Brielmann, A.: Quantifying Complexity in Synthetic and Natural Images. In XXVIII Congress of the International Association of Empirical Aesthetics (IAEA 2024), p. 34. XXVIII Congress of the International Association of Empirical Aesthetics (IAEA 2024), Palma de Mallorca, Spain, May 08, 2024 - May 10, 2024. (2024)

Kastner, D.; Holobetz, C.; Yokotoa, N.; Williams, G.; Romano, J.; Dayan, P.: Slow progress of learning in rats haploinsufficient for a high-risk ASD gene. In 52nd Annual Meeting of the Society for Neuroscience (Neuroscience 2023), NANO01.09, pp. 9 - 10. 52nd Annual Meeting of the Society for Neuroscience (Neuroscience 2023), Washington, DC, USA, November 11, 2023 - November 15, 2023. (2023)

Safavi, S.; Dayan, P.: A decision-theoretic model of perceptual multistability: perceptual switches as internal actions. In 52nd Annual Meeting of the Society for Neuroscience (Neuroscience 2023), NANO58.08, pp. 538 - 539. 52nd Annual Meeting of the Society for Neuroscience (Neuroscience 2023), Washington, DC, USA, November 11, 2023 - November 15, 2023. (2023)

Bruijns, S.; Dayan, P.: Dissecting the Complexities of the Learning Curve With State-Based Models. In NeNa Conference 2023: Neurowissenschaftliche Nachwuchskonferenz (Conference of Junior Neuroscientists), T12, p. 25. 24th Conference of Junior Neuroscientists (NeNa 2023), Frankfurt a.M., Germany, September 11, 2023 - September 13, 2023. (2023)