_{Publikationen:
Abteilung für Computational Neuroscience}

Archer, K.; Catenacci Volpi, N.; Bröker, F.; Polani, D.: A space of goals: the cognitive geometry of informationally bounded agents. Royal Society Open Science 9 (12), 211800 (2022)

Faulkner, P.; Huys, Q.; Renz, D.; Eshel, N.; Pilling, S.; Dayan, P.; Roiser, J.: A Comparison of "Pruning" During Multi-Step Planning in Depressed and Healthy Individuals. Psychological Medicine 52 (16), S. 3948 - 3956 (2022)

Janet, R.; Ligneul, R.; Losecaat-Vermeer, A.; Philippe, R.; Bellucci, G.; Derrington, E.; Park, S.; Dreher, J.-C.: Regulation of social hierarchy learning by serotonin transporter availability. Neuropsychopharmacology 47 (13), S. 2205 - 2212 (2022)

Levina, A.; Priesemann, V.; Zierenberg, J.: Tackling the subsampling problem to infer collective properties from limited data. Nature Reviews Physics 4 (12), S. 770 - 784 (2022)

Montala-Flaquer, M.; Lopez-Leon, C.; Tornero, D.; Houben, A.; Fardet, T.; Monceau , P.; Bottani, S.; Soriano, J.: Rich dynamics and functional organization on topographically designed neuronal networks in vitro. iScience 25 (12), 105680 (2022)

Brielmann, A.; Dayan, P.: A computational model of aesthetic value. Psychological Review 129 (6), S. 1319 - 1337 (2022)

Corral López, R.; Buendia, V.; Muñoz, M.: The excitatory-inhibitory branching process: a parsimonious view of cortical asynchronous states, excitability, and criticality. Physical Review Research 4, L042027 (2022)

Éltetö, N.; Nemeth, D.; Janacsek, K.; Dayan, P.: Tracking human skill learning with a hierarchical Bayesian sequence model. PLoS Computational Biology 18 (11), e1009866 (2022)

Khajehabdollahi, S.; Prosi, J.; Giannakakis, E.; Martius, G.; Levina, A.: When to Be Critical? Performance and Evolvability in Different Regimes of Neural Ising Agents. Artificial Life 28 (4), S. 458 - 478 (2022)

Bucher, S.; Brandenburger, A.: Divisive normalization is an efficient code for multivariate Pareto-distributed environments. Proceedings of the National Academy of Sciences of the United States of America 119 (40), e2120581119 (2022)

Chebolu, S.; Dayan, P.; Lloyd, K.: Vigilance, arousal, and acetylcholine: Optimal control of attention in a simple detection task. PLoS Computational Biology 18 (10), e1010642 (2022)

Safavi, S.; Dayan, P.: Multistability, perceptual value, and internal foraging. Neuron 110 (19), S. 3076 - 3090 (2022)

Roelofs, K.; Dayan, P.: Freezing revisited: coordinated autonomic and central optimization of threat coping. Nature Reviews Neuroscience 23 (9), S. 568 - 580 (2022)

Zamfir, E.; Dayan, P.: Interactions between attributions and beliefs at trial-by-trial level: Evidence from a novel computer game task. PLoS Computational Biology 18 (9), e1009920 (2022)

Barnby, J.; Dean, R.; Burgess, H.; Kim, J.; Teunisse, A.; Mackenzie, L.; Robinson, G.; Dayan, P.; Richards, L.: Increased persuadability and credulity in people with corpus callosum dysgenesis. Cortex 155, S. 251 - 263 (2022)

Barnby, J.; Raihani, N.; Dayan, P.: Knowing me, knowing you: Interpersonal similarity improves predictive accuracy and reduces attributions of harmful intent. Cognition 225, 105098 (2022)

Castro-Rodrigues, P.; Akam, T.; Snorasson, I.; Camacho, M.; Paixão, V.; Maia, A.; Barahona-Corrêa, J.; Dayan, P.; Simpson, H.; Costa, R. et al.; Oliveira-Maia, A.: Explicit knowledge of task structure is a primary determinant of human model-based action. Nature Human Behaviour 6 (8), S. 1126 - 1141 (2022)

Dubey, R.; Griffiths, T.; Dayan, P.: The pursuit of happiness: A reinforcement learning perspective on habituation and comparisons. PLoS Computational Biology 18 (8), e1010316 (2022)

Gagne, C.; Agai, S.; Ramiro, C.; Dayan, P.; Bishop, S.: Biased belief priors versus biased belief updating: Differential correlates of depression and anxiety. PLoS Computational Biology 18 (8), e1010176 (2022)

Lubianiker, N.; Paret, C.; Dayan, P.; Hendler, T.: Neurofeedback through the lens of reinforcement learning. Trends in Neurosciences 45 (8), S. 579 - 593 (2022)

Bellucci, G.; Wang, C.; Sai, L.; Krueger, F.: Reply to Zhen and Yu: Cognitive control as questionable proxy for deliberation in honest behaviors. Proceedings of the National Academy of Sciences of the United States of America 119 (27), e2203613119 (2022)

Buendía, V.; Villegas, P.; Burioni, R.; Muñoz, M.: The broad edge of synchronization: Griffiths effects and collective phenomena in brain networks. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 380 (2227), 20200424 (2022)

Bellucci, G.; Münte, T.; Park, S.: Influences of social uncertainty and serotonin on gambling decisions. Scientific Reports 12 (1), 10220 (2022)

Bellucci, G.: A Model of Trust. Games 13 (3), 39 (2022)

Bröker, F.; Love, B.; Dayan, P.: When unsupervised training benefits category learning. Cognition 221, 104984 (2022)

Kastner, D.; Miller, E.; Yang, Z.; Roumis, D.; Frank, L.; Dayan, P.: Spatial preferences account for inter-animal variability during the continual learning of a dynamic cognitive task. Cell Reports 39 (3), 110708 (2022)

Gagne, C.; Dayan, P.: Peril, Prudence and Planning as Risk, Avoidance and Worry. Journal of Mathematical Psychology 106 (2022)

Lawrance, E.; Gagne, C.; O'Reilly, J.; Bijsterbosch, J.; Bishop, S.: The Computational and Neural Substrates of Ambiguity Avoidance in Anxiety. Computational Psychiatry 6 (1), S. 8 - 33 (2022)

Antonov, G.; Gagne, C.; Eldar, E.; Dayan, P.: Optimism and Pessimism in Optimised Replay. PLoS Computational Biology 18 (1) (2022)

Brielmann, A.; Buras, N.; Salingaros, N.; Taylor, R.: What Happens in Your Brain When You Walk Down the Street? Implications of Architectural Proportions, Biophilia, and Fractal Geometry for Urban Science. Urban Science 6 (1), 3 (2022)

Dayan, P.: “Liking” as an early and editable draft of long-run affective value. PLoS Biology 20 (1), e3001476 (2022)

Brielmann, A.: Top-down processes in art experience. In: The Routledge International Handbook of Neuroaesthetics, 25, S. 461 - 474 (Hg. Skov, M.; Nadal, M.). Routledge, London, UK (2022)

Bellucci, G.; Dreher, J.-C.: Trust and Learning. In: The Neurobiology of Trust, 8, S. 185 - 220 (Hg. Krueger, F.). Cambridge University Press, Cambridge, UK (2022)

Alon, N.; Schulz, L.; Rosenschein, J.; Dayan, P.: A (dis-)information theory of revealed and unrevealed preferences. In: Information-Theoretic Principles in Cognitive Systems: Workshop at the 36th Conference on Neural Information Processing Systems (NeurIPS 2022). NeurIPS 2022 Workshop on Information-Theoretic Principles in Cognitive Systems, New Orleans, LA, USA, 03. Dezember 2022. (2022)

Bruijns, S.; The International Brain Laboratory; Dayan, P.: Understanding Learning Trajectories With Infinite Hidden Markov Models. In: 2022 Conference on Cognitive Computational Neuroscience, P-1.19, S. 64 - 66. Conference on Cognitive Computational Neuroscience (CCN 2022), San Francisco, CA, USA, 25. August 2022 - 28. August 2022. (2022)

Khajehnejad, M.; Habibollahi, F.; Nock, R.; Arabzadeh, E.; Dayan, P.; Dezfouli, A.: Neural Network Poisson Models for Behavioural and Neural Spike Train Data. In: International Conference on Machine Learning, 17-23 July 2022, Baltimore, Maryland, USA, S. 10974 - 10996 (Hg. Chaudhuri, K.; Jegelka, S.; Song, L.; Szepesvari, C.; Niu, G. et al.). Thirty-ninth International Conference on Machine Learning (ICML 2022), Baltimore, MD, USA, 17. Juli 2022 - 23. Juli 2022. (2022)

Renz, F.; Grossman, S.; Dayan, P.; Doeller, C.; Schuck, N.: Representation learning facilitates different levels of generalization. In: 2022 Conference on Cognitive Computational Neuroscience, P-2.66, S. 460 - 462. Conference on Cognitive Computational Neuroscience (CCN 2022), San Francisco, CA, USA, 25. August 2022 - 28. August 2022. (2022)

Bröker, F.; Roads, B.; Dayan, P.; Love, B.: Teaching categories to human semi-supervised learners. In: 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), 2.8, S. 122 - 125. 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), Providence, RI, USA, 08. Juni 2022 - 11. Juni 2022. (2022)

Dayan, P.; Gagne, C.: Two steps to risk sensitivity. In: Advances in Neural Information Processing Systems 34: 35th Conference on Neural Information Processing Systems (NeurIPS 2021), S. 22209 - 22220 (Hg. Ranzato, M.; Beygelzimer, A.; Liang, P.; Vaughan, J.; Dauphin, Y.). Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), 06. Dezember 2021 - 14. Dezember 2021. Curran, Red Hook, NY, USA (2022)

Wise, T.; Charpentier, C.; Dayan, P.; Mobbs, D.: Modeling the mind of a predator: Interactive cognitive maps enable avoidance of dynamic threats. In: 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), 1.49, S. 32 - 33. 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), Providence, RI, USA, 08. Juni 2022 - 11. Juni 2022. (2022)

Wu, S.; Éltetö, N.; Dasgupta, I.; Schulz, E.: Learning Structure from the Ground up: Hierarchical Representation Learning by Chunking. In: Tenth International Conference on Learning Representations (ICLR 2022). Tenth International Conference on Learning Representations (ICLR 2022), 25. April 2022 - 29. April 2022. (2022)

Burgess, H.; Barnby, J.; Dean, R.; MacKenzy, L.; Thomas, R.; Dayan, P.; Richards, L.: Neurocog.js; A new tool for running cognitive experiments in both lab and online environments. In 51st Annual Meeting of the Society for Neuroscience (Neuroscience 2022), 164.24. 51st Annual Meeting of the Society for Neuroscience (Neuroscience 2022), San Diego, CA, USA, 12. November 2022 - 16. November 2022. (2022)

Bellucci, G.: Trading off subjective values and social expectations for interpersonal trust. In 15th Biannual Conference of the German Society for Cognitive Science (KogWis 2022), S. 144. 15th Biannual Conference of the German Society for Cognitive Science (KogWis 2022), Freiburg (Breisgau), Germany, 05. September 2022 - 07. September 2022. (2022)

Pombo, M.; Brielmann, A.; Pelli, D.: When judging beauty, order matters only if the stimuli are homogeneous. In The Visual Science of Art Conference (VSAC 2022). The Visual Science of Art Conference (VSAC 2022), Amsterdam, The Netherlands, 24. August 2022 - 27. August 2022. (2022)

Buendía, V.: The excitatory-inhibitory branching process: a parsimonious view of cor- tical asynchronous states, excitability, and criticality. In II Conference of the Italian Society of Statistical Physics (SIFS 2022), XXVI National Conference of Statistical Physics and Complex Systems. II Conference of the Italian Society of Statistical Physics (SIFS 2022), XXVI National Conference of Statistical Physics and Complex Systems, Parma, Italy, 20. Juni 2022 - 22. Juni 2022. (2022)

Klippert, A.; Montesano, A.; Dinkel, H.; Monheim, F.: Anishare: An Open-Source Software to Improve the Use of Surplus Laboratory Animals and Organs. In Laboratory Animals, 56 (Supplement 1), S2E1.1, S. 35 - 36. 15th FELASA Congress 2022, Marseille, France, 13. Juni 2022 - 16. Juni 2022. Laboratory Animals Ltd., London (2022)

Brielmann, A.; Berentelg, M.; Dayan, P.: A computational model predicts individual aesthetic judgments. In 64th Conference of Experimental Psychologists: TeaP 2022, S. 37 - 38 (Hg. Malejka, S.; Barth, M.; Haider, H.; Stahl, C.). 64th Conference of Experimental Psychologists (TeaP 2022): Tagung experimentell arbeitender Psycholog:innen, Köln, Germany, 20. März 2022 - 23. März 2022. Pabst, Lengerich, Germany (2022)

Dayan, P.: "‘Liking" as shaping, "‘wanting" as reinforcing. Swedish Basal Ganglia Society: Webinar Reinforcement Learning (2022)

Dayan, P.: Risking your tail: curiosity, danger and exploration. 51st Annual Meeting of the Society for Neuroscience (Neuroscience 2022), San Diego, Ca, USA (2022)

Dayan, P.: Replay and preplay in planning and exploration. Washington University School of Medicine: Department of Neuroscience, St. Louis, MO, USA (2022)

Brielmann, A.: A computational model of sensory valuation. Max Planck Institute for Empirical Aesthetics , Frankfurt a.M., Germany (2022)

Brielmann, A.; Berentelg, M.; Dayan, P.: The intrinsic reward of sensory experiences. Annual Meeting of the Society for NeuroEconomics (SNE 2022), Arlington, VA, USA (2022)

Dubey, R.; Griffiths, T.; Dayan, P.: The pursuit of happiness: A reinforcement learning perspective on habituation and comparisons. Annual Meeting of the Society for NeuroEconomics (SNE 2022), Arlington, VA, USA (2022)

Brielmann, A.: Boredom in aesthetic experiences. The Third International Symposium on the Mathematics of Neuroscience, Heraklion, Greece (2022)

Brielmann, A.: Is pleasure enough? 2022 Biennial Congress of the International Association of Empirical Aesthetics (IAEA 2022), Philadelphia, PA, USA (2022)

Dayan, P.: Learning from scratch: Non-parametric models of task acquisition over the long run. The Third International Symposium on the Mathematics of Neuroscience, Heraklion, Greece (2022)

Dayan, P.: Generative and discriminative reinforcement learning as model-based and model-free control. Second International Conference on Error-Driven Learning in Language (EDLL 2022), Tübingen, Germany (2022)

Solopchuk, O.: Active sensing with artificial neural networks. Freie Universität, Department of Education and Psychology, Center for Cognitive Neuroscience Berlin, Berlin, Germany (2022)

Dayan, P.: Replay and preplay in planning in humans. Talking Science 2022, München, Germany (2022)

Gagne, C.: Risk-sensitive planning and sampling in simple and complex generative models. 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022) Workshop, Providence, RI, USA (2022)

Brielmann, A.: A feature-based computational account of individual and sequential variability in aesthetics. Eberhard-Karls-Universität, Mathematisch-Naturwissenschaftliche Fakultät, Fachbereich Psychologie , Tübingen, Germany (2022)

Dayan, P.: Peril, Prudence and Planning as Risk, Avoidance and Worry. Institute for Applied Computational Science, Harvard University, Cambridge, MA, USA (2022)

Eschenko, O.: The locus coeruleus saliency signaling affects sensory perception by increasing arousal. IGSN / SFB 874 Conference: Sensory Encoding And The Emergence Of Memory , Bochum, Germany (2022)

Buendia Ruiz-Azuaga, V.: Synchronization transitions and brain criticality. Young Seminars SIFS: Società Italiana di Fisica Statistics, Roma, Italy (2022)

Basgol, H.; Dayan, P.; Franz, V.: Is pupil-linked arousal a marker of model violation but not model update? 44th European Conference on Visual Perception (ECVP 2022), 44th European Conference on Visual Perception (ECVP 2022) (2022)

Barnby, J.; Burgess, H.; Dean, R.; MacKenzie, L.; Robinson, G.; Dayan, P.; Richards, L.: Bridging the divide: elucidating the social and cognitive impact of Corpus Callosum Dysgenesis. 51st Annual Meeting of the Society for Neuroscience (Neuroscience 2022), San Diego, Ca, USA (2022)

Basgol, H.; Dayan, P.; Franz, V.: Pupil-Linked Arousal is Sensitive to Model Reset but not Model Update. 63rd Annual Meeting of the Psychonomic Society (PS 2022), Boston, MA, USA (2022)

Benson, L.; Findling, C.; Hubert, F.; Whiteway , M.; Gercek, B.; Arlandis, J.; Benson, J.; Birman, D.; Catarino, J.; Dewitt, E. et al.; Hu, F.; Khanal, A.; Krasniak, C.; Langdon, C.; Lau, P.; Meijer, G.; Miska, N.; Noel, J.-P.; Nylund, K.; Pan Vazquez, A.; Roth, N.; Shi, Y.; Socha, K.; Urai, A.; Ibl Staff, T.; Dayan, P.; Pouget, A.; International Brain Laboratory: International Brain Laboratory brainwide analysis: decoding of task and behavioral variables from populations of neurons. 51st Annual Meeting of the Society for Neuroscience (Neuroscience 2022), San Diego, Ca, USA (2022)

Bougrova, K.; Bonacchi, N.; Catarino, J.; Dewitt, E.; Meijer, G.; Dayan, P.; Mainen, Z.; International Brain Laboratotory: Comparison of neuromodulator signaling in a visual decision-making task. 51st Annual Meeting of the Society for Neuroscience (Neuroscience 2022), San Diego, CA, USA (2022)

Gercek, B.; Alandis, J.; Benson, L.; Bonacchi, N.; Catarino, J.; Chapuis, G.; Fabbri, M.; Faulkner, M.; Hu, F.; Huntenburg, J. et al.; Khanal, A.; Krasniak, C.; Langdon, C.; Lau, P.; Meijer, G.; Miska, N.; Noel, J.-P.; Pan Vazquez, A.; Rossant, C.; Roth, N.; Shi, Y.; Socha, K.; Pillow, J.; Dayan, P.; Pouget, A.; International Brain Laboratory: Encoding models reveal brain-wide signaling of motor activity and reward delivery. 51st Annual Meeting of the Society for Neuroscience (Neuroscience 2022), San Diego, Ca, USA (2022)

Hubert, F.; Findling, C.; Gercek, B.; Benson, B.; Whiteway, M.; Krasniak, C.; Dayan, P.; Pouget, A.; Arlandis, J.; Bonacchi, N. et al.; Catarino, J.; Dewitt, E.; Fabbri, M.; Hu, F.; Khanal, A.; Langdon, C.; Lau, P.; Meijer, G.; Miska, N.; Noel, J.-P.; Pan-Vasquez, A.; Rossant, C.; Roth, N.; Shi, Y.; Socha, K.; Urai, A.; Wells, M.; Winter, O.; International Brain Laboratory: Distributed neural representations of prior information in mouse decision-making. 51st Annual Meeting of the Society for Neuroscience (Neuroscience 2022), San Diego, Ca, USA (2022)

Satti, M.; Cichy, R.; Schuck, M.; Dayan, P.; Bruckner, R.: Effects of Threat Imminence on Learning Under Uncertainty. 51st Annual Meeting of the Society for Neuroscience (Neuroscience 2022), San Diego, CA, USA (2022)

Shi, Y.; Roth, N.; Steinmatz, N.; Engel, T.; Benson, B.; Birman, D.; Bonacchi, N.; Dewitt, E.; Gercek, B.; Langdon, C. et al.; Hubert, F.; Arlandis, J.; Nylund, K.; Socha, K.; Miska, N.; Schartner, M.; Whiteway, M.; Winter, O.; Faulkner, M.; Huntenburg, J.; Rossant, C.; Fabbri, M.; Chapuis, G.; Dayan, P.; Fiete, I.; Ganguli, S.; Harris, K.; Pouget, A.; Witten, I.; International Brain Laboratory: Single-cell correlates of sensory, cognitive, and motor variables across the brain. 51st Annual Meeting of the Society for Neuroscience (Neuroscience 2022), San Diego, Ca, USA (2022)

Bellucci, G.; Dayan, P.: Computational mechanisms underlying learning and recalling of trustworthy partners. Annual Meeting of the Society for NeuroEconomics (SNE 2022), Arlington, VA, USA (2022)

Bruijns, S.; The International Brain Laboratory; Dayan, P.: Fear and anxiety influences on probabilistic learning: A pilot online study and computational modeling. 23rd Conference of Junior Neuroscientists (NeNa 2022), Bad Urach, Germany (2022)

Bucher, S.; Dayan, P.: Dopamine-Revealed Preference and Beliefs over Resolving Uncertainty. Annual Meeting of the Society for NeuroEconomics (SNE 2022), Arlington, VA, USA (2022)

Bucher, S.; Yan, Z.-Y.; Glimcher, P.; Dayan, P.: Neurally Revealed Preference and Beliefs over Resolving Uncertainty. Annual Meeting of the Society for NeuroEconomics (SNE 2023), Vancouver, BC, Canada (2022)

Éltetö, N.; Németh, D.; Janacsek, K.; Dayan, P.: Tracking human skill learning with a hierarchical Bayesian sequence model. 23rd Conference of Junior Neuroscientists (NeNa 2022), Bad Urach, Germany (2022)

Granwald, T.; Dayan, P.; Lengyel, M.; Masip, M.: Quantifying a task-invariant Bayesian prior for active avoidance: A pilot study. Annual Meeting of the Society for NeuroEconomics (SNE 2023), Vancouver, BC, Canada (2022)

Kurtz-David, V.; Alladi, V.; Bucher, S.; Louie, K.; Brandenburger, A.; Dewan, A.; Glimcher, P.; Tymula, A.: Choosing Well: Testing the Efficiency of Neural Value Coding. Annual Meeting of the Society for NeuroEconomics (SNE 2022), Arlington, VA, USA (2022)

Corral López, R.; Buendía, V.; Ángel Muñoz, M.: The excitatory-inhibitory branching process: a parsimonious view of cortical asynchronous states, excitability, and criticality. Bernstein Conference 2022, Berlin, Germany (2022)

Giannakakis, E.; Khajehabdollahi, S.; Buendia, V.; Levina, A.: The topology of E/I recurrent networks regulates their ability to learn the dynamics of chaotic attractors. Bernstein Conference 2022, Berlin, Germany (2022)

Khajehabdollahi, S.; Giannakakis, E.; Martius, G.; Levina, A.: Cellular automata for efficient large-scale simulations of spiking networks. Bernstein Conference 2022, Berlin, Germany (2022)

Safavi, S.; Dayan, P.: Toward a decision-theoretic model of perceptual multistability. Bernstein Conference 2022, Berlin, Germany (2022)

Spitzner, F.; Yamamoto, H.; Takemuro, T.; Buendía, V.; Morante, C.; Konno, T.; Sato, S.; Hirano-Iwata, A.; Priesemann, V.; Muñoz, M. et al.; Zierenberg, J.; Soriano, J.: Modular architecture facilitates noise-driven control of synchrony in neuronal networks. Fifth Third Infinity Conference 2022: Biennial International Conference on the Physics of Biological and Complex Systems , Göttingen, Germany (2022)

Vinogradov, O.; Ron, S.; Weinreb, E.; Buendia, V.; Moses, E.; Levina, A.: Dynamical regimes of network bursting in vitro. Bernstein Conference 2022, Berlin, Germany (2022)

Yamamoto, H.; Spitzner, F.; Takemuro, T.; Buendía, V.; Morante, C.; Konno, T.; Sato, S.; Hirano-Iwata, A.; Priesemann, V.; Muñoz, M. et al.; Zierenberg, J.; Soriano, J.: Modular architecture facilitates noise-driven control of synchrony in neuronal networks. Bernstein Conference 2022, Berlin, Germany (2022)

Nath, S.; Brändle, F.; Schulz, E.; Dayan, P.; Brielmann, A.: Spatial complexity and intricacy predict subjective complexity. The Visual Science of Art Conference (VSAC 2022), Amsterdam, The Netherlands (2022)

Kuehnel, A.; Lucas, J.; Neuser, M.; Teckentrup, V.; Kraeutlein, F.; Mueller, F.; Dayan, P.; Svaldi, J.; Kroemer, N.: Differential neurobehavioral signatures of reward learning in obesity and binge eating disorder. 29th Annual Meeting of the Society for the Study of Ingestive Behavior (SSIB 2022), Porto, Portugal (2022)

Xuan, F.; Tessereau, C.; Ashby, M.; Clopath, C.; Jones, M.; Mainen, Z.; Pickering, T.; Walton, M.; Mellor, J.; Dayan, P. et al.; Dombeck, D.: Where did my Cheese Move? Behavioural and Hippocampal Traces of Uncertainties Induced by Changes in Reward Distributions. FENS Forum 2022, Paris, France (2022)

Antonov, G.; Dayan, P.: Sweeping Improvements to Exploration. 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), Providence, RI, USA (2022)

Bányai, M.; Dayan, P.: On the forking paths of exactitude. 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), Providence, RI, USA (2022)

Guitart-Masip, M.; Walsh, A.; Dayan, P.; Olsson, A.: Anxiety Associated with Perceived Lack of Control Over Stress During the COVID-19 Pandemic Impairs Reward Learning. 2022 Annual Scientific Convention and Meeting of the Society of Biological Psychiatry (SOBP 2022), New Orleans, LA, USA (2022)

Schwartenbeck, P.; Éltetö, N.; Braun, A.; Bányai, M.; Dayan, P.: Hierarchically structured representations facilitate visual understanding. 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), Providence, RI, USA (2022)

Walsh, A.; Dayan, P.; Olsson, A.; Guitart-Masip, M.: The Cognitive and Neural Impact of Uncontrollable Stress on Reward-Learning. 2022 Annual Scientific Convention and Meeting of the Society of Biological Psychiatry (SOBP 2022), New Orleans, LA, USA (2022)

Chebolu, S.; Dayan, P.; Lloyd, K.: Fast ACh signals and the optimal control of attention in a detection task. Computational and Systems Neuroscience Meeting (COSYNE 2022), Lisboa, Portugal (2022)

Elteto, N.; Nemeth, D.; Janacsek, K.; Dayan, P.: Tracking human skill learning with a hierarchical Bayesian sequence model. Computational and Systems Neuroscience Meeting (COSYNE 2022), Lisboa, Portugal (2022)

Tano, P.; Dayan, P.; Pouget, A.: Automatic Task Decomposition using Compositional Reinforcement Learning. Computational and Systems Neuroscience Meeting (COSYNE 2022), Lisboa, Portugal (2022)

Basgol, H.; Dayan, P.; Franz, V.: Investigating pupil-linked arousal to complex and statistically uncertain auditory patterns. 64th Conference of Experimental Psychologists (TeaP 2022): Tagung experimentell arbeitender Psycholog:innen, Köln, Germany (2022)