Publications:
Department for Computational Neuroscience

Journal Article (24)

1.
Journal Article
Roelofs, K.; Dayan, P.: Freezing revisited: coordinated autonomic and central optimization of threat coping. Nature Reviews Neuroscience 23 (9), pp. 568 - 580 (2022)
2.
Journal Article
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, pp. 251 - 263 (2022)
3.
Journal Article
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)
4.
Journal Article
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), pp. 1126 - 1141 (2022)
5.
Journal Article
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)
6.
Journal Article
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)
7.
Journal Article
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 Epub ahead (2022)
8.
Journal Article
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 Epub ahead (2022)
9.
Journal Article
Lubianiker, N.; Paret, C.; Dayan, P.; Hendler, T.: Neurofeedback through the lens of reinforcement learning. Trends in Neurosciences 45 (8), pp. 579 - 593 (2022)
10.
Journal Article
Safavi, S.; Dayan, P.: Multistability, perceptual value, and internal foraging. Neuron Epub ahead (2022)
11.
Journal Article
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)
12.
Journal Article
Brielmann, A.; Dayan, P.: A computational model of aesthetic value. Psychological Review Epub ahead (2022)
13.
Journal Article
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)
14.
Journal Article
Jain, Y.; Callaway, F.; Griffiths, T.; Dayan, P.; Krueger, P.; Lieder, F.: A computational process-tracing method for measuring people’s planning strategies and how they change over time. Behavior Research Methods Epub ahead (2022)
15.
Journal Article
Bellucci, G.; Münte, T.; Park, S.: Influences of social uncertainty and serotonin on gambling decisions. Scientific Reports 12 (1), 10220 (2022)
16.
Journal Article
Bellucci, G.: A Model of Trust. Games 13 (3), 39 (2022)
17.
Journal Article
Bröker, F.; Love, B.; Dayan, P.: When unsupervised training benefits category learning. Cognition 221, 104984 (2022)
18.
Journal Article
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)
19.
Journal Article
Zeraati, R.; Engel, T.; Levina, A.: A flexible Bayesian framework for unbiased estimation of timescales. Nature Computational Science 2 (3), pp. 193 - 204 (2022)
20.
Journal Article
Gagne, C.; Dayan, P.: Peril, Prudence and Planning as Risk, Avoidance and Worry. Journal of Mathematical Psychology 106 (2022)
21.
Journal Article
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), pp. 8 - 33 (2022)
22.
Journal Article
Antonov, G.; Gagne, C.; Eldar, E.; Dayan, P.: Optimism and Pessimism in Optimised Replay. PLoS Computational Biology 18 (1) (2022)
23.
Journal Article
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)
24.
Journal Article
Dayan, P.: "Liking" as an early and editable draft of long-run affective value. PLoS Biology 20 (1), pp. 1 - 15 (2022)

Book Chapter (1)

25.
Book Chapter
Bellucci, G.; Dreher, J.-C.: Trust and Learning. In: The Neurobiology of Trust, 8, pp. 185 - 220 (Ed. Krueger, F.). Cambridge University Press, Cambridge, UK (2022)

Conference Paper (7)

26.
Conference Paper
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, pp. 64 - 66. Conference on Cognitive Computational Neuroscience (CCN 2022), San Francisco, CA, USA, August 25, 2022 - August 28, 2022. (2022)
27.
Conference Paper
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, pp. 10974 - 10996 (Eds. Chaudhuri, K.; Jegelka, S.; Song, L.; Szepesvari, C.; Niu, G. et al.). Thirty-ninth International Conference on Machine Learning (ICML 2022), Baltimore, MD, USA, July 17, 2022 - July 23, 2022. (2022)
28.
Conference Paper
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, pp. 460 - 462. Conference on Cognitive Computational Neuroscience (CCN 2022), San Francisco, CA, USA, August 25, 2022 - August 28, 2022. (2022)
29.
Conference Paper
Ludwig, T.; Wu, C.; Schulz, E.: Connecting Exploration, Generalization, and Planning in Correlated Trees. In: 44th Annual Meeting of the Cognitive Science Society (CogSci 2022): Cognitive Diversity, pp. 2940 - 2946 (Eds. Culbertson, J.; Perfors, A.; Rabagliati, H.; Ramenzoni, V.). 44th Annual Meeting of the Cognitive Science Society (CogSci 2022): Cognitive Diversity, Toronto, Canada, July 27, 2022 - July 30, 2022. (2022)
30.
Conference Paper
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, pp. 122 - 125. 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), Providence, RI, USA, June 08, 2022 - June 11, 2022. (2022)
31.
Conference Paper
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), pp. 22209 - 22220 (Eds. Ranzato, M.; Beygelzimer, A.; Liang, P.; Vaughan, J.; Dauphin, Y.). Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), December 06, 2021 - December 14, 2021. Curran, Red Hook, NY, USA (2022)
32.
Conference Paper
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, pp. 32 - 33. 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), Providence, RI, USA, June 08, 2022 - June 11, 2022. (2022)

Meeting Abstract (4)

33.
Meeting Abstract
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), p. 144. 15th Biannual Conference of the German Society for Cognitive Science (KogWis 2022), Freiburg (Breisgau), Germany, September 05, 2022 - September 07, 2022. (2022)
34.
Meeting Abstract
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, August 24, 2022 - August 27, 2022. (2022)
35.
Meeting Abstract
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, pp. 35 - 36. 15th FELASA Congress 2022, Marseille, France, June 13, 2022 - June 16, 2022. Laboratory Animals Ltd., London (2022)
36.
Meeting Abstract
Brielmann, A.; Berentelg, M.; Dayan, P.: A computational model predicts individual aesthetic judgments. In 64th Conference of Experimental Psychologists: TeaP 2022, pp. 37 - 38 (Eds. Malejka, S.; Barth, M.; Haider, H.; Stahl, C.). 64th Conference of Experimental Psychologists (TeaP 2022): Tagung experimentell arbeitender Psycholog:innen, Köln, Germany, March 20, 2022 - March 23, 2022. Pabst, Lengerich, Germany (2022)

Talk (12)

37.
Talk
Dayan, P.: "‘Liking" as shaping, "‘wanting" as reinforcing. Swedish Basal Ganglia Society: Webinar Reinforcement Learning (2022)
38.
Talk
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)
39.
Talk
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)
40.
Talk
Brielmann, A.: Boredom in aesthetic experiences. The Third International Symposium on the Mathematics of Neuroscience, Heraklion, Greece (2022)
41.
Talk
Brielmann, A.: Is pleasure enough? 2022 Biennial Congress of the International Association of Empirical Aesthetics (IAEA 2022), Philadelphia, PA, USA (2022)
42.
Talk
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)
43.
Talk
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)
44.
Talk
Solopchuk, O.: Active sensing with artificial neural networks. Freie Universität, Department of Education and Psychology, Center for Cognitive Neuroscience Berlin, Berlin, Germany (2022)
45.
Talk
Dayan, P.: Replay and preplay in planning in humans. Talking Science 2022, München, Germany (2022)
46.
Talk
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)
47.
Talk
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)
48.
Talk
Dayan, P.: Peril, Prudence and Planning as Risk, Avoidance and Worry. Institute for Applied Computational Science, Harvard University, Cambridge, MA, USA (2022)

Poster (17)

49.
Poster
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)
50.
Poster
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)
51.
Poster
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)
52.
Poster
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)
53.
Poster
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)
54.
Poster
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)
55.
Poster
Vasilev, D.; Vinogradov, O.; Levina, A.; Totah, N.: ACC Neurons Respond both during and after Response Conflict. Research in Encoding and Decoding of Neural Ensembles (AREADNE 2022), Santorini, Greece (2022)
56.
Poster
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)
57.
Poster
Antonov, G.; Dayan, P.: Sweeping Improvements to Exploration. 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), Providence, RI, USA (2022)
58.
Poster
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)
59.
Poster
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)
60.
Poster
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)
61.
Poster
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)
62.
Poster
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)
63.
Poster
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)
64.
Poster
Tano, P.; Dayan, P.; Pouget, A.: Automatic Task Decomposition using Compositional Reinforcement Learning. Computational and Systems Neuroscience Meeting (COSYNE 2022), Lisboa, Portugal (2022)
65.
Poster
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)

Thesis - Master (1)

66.
Thesis - Master
Nath, S.: Fun Meets Aesthetics: Modelling Human Curiosity and Creativity. Master (2022)

Working Paper (1)

67.
Working Paper
Grewal, J.; Spitschan, M.: Improve your light exposure: Advice for individuals working during the day. (2022)

Preprint (14)

68.
Preprint
Dayan, P.: Metacognitive Information Theory. (submitted)
69.
Preprint
Levina, A.; Priesemann, V.; Zierenberg, J.: Tackling the subsampling problem to infer collective properties from limited data. (submitted)
70.
Preprint
Shi, Y.-L.; Zeraati, R.; Levina, A.; Engel, T.: Spatial and temporal correlations in neural networks with structured connectivity. (submitted)
71.
Preprint
Wise, T.; Charpentier, C.; Dayan, P.; Mobbs, D.: Modeling the mind of a predator: Interactive cognitive maps support flexible avoidance of dynamic threats. (submitted)
72.
Preprint
Frame, J.; Gugliano, M.; Brielmann, A.; Belfi, A.: Your ears don't change what your eyes like: People can independently report the pleasure of music and images. (submitted)
73.
Preprint
International Brain Laboratory; Banga, K.; Benson, J.; Bonacchi, N.; Bruijns, S.; Campbell, R.; Chapuis, G.; Churchland, A.; Davatolhagh, M.; Lee, H. et al.; Faulkner, M.; Hu, F.; Hunterberg, J.; Khanal, A.; Krasniak, C.; Meijer, G.; Miska, N.; Mohammadi, Z.; Noel, J.-P.; Paninski, L.; Pan-Vazquez, A.; Roth, N.; Schartner, M.; Socha, K.; Steinmetz, N.; Taheri, M.; Urai, A.; Wells, M.; West, S.; Whiteway, M.; Winter, O.: Reproducibility of in-vivo electrophysiological measurements in mice. (submitted)
74.
Preprint
Yamamoto, H.; Spitzner, F.; Takemuro, T.; Buendia, 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. (submitted)
75.
Preprint
Corral López, R.; Buendia, V.; Muñoz, M.: The excitatory-inhibitory branching process: a parsimonious view of cortical asynchronous states, excitability, and criticality. (submitted)
76.
Preprint
Pombo, M.; Brielmann, A.; Pelli, D.: The intrinsic variance of beauty judgment. (submitted)
77.
Preprint
Chebolu, S.; Dayan, P.; Lloyd, K.: Vigilance, arousal, and acetylcholine: Optimal control of attention in a simple detection task. (submitted)
78.
Preprint
Wu, S.; Éltetö, N.; Dasgupta, I.; Schulz, E.: E pluribus unum but how? Chunking as a rational solution to the speed-accuracy trade-off. (submitted)
79.
Preprint
Zamfir, E.; Dayan, P.: Interactions between attributions and beliefs at high temporal resolution: evidence from a novel task. (submitted)
80.
Preprint
Éltetö, N.; Nemeth, D.; Janacsek, K.; Dayan, P.: Tracking human skill learning with a hierarchical Bayesian sequence model. (submitted)
81.
Preprint
Machado Costa, K.; Scholz, R.; Lloyd, K.; Moreno-Castilla, P.; Gardner, M.; Dayan, P.; Schoenbaum, G.: The role of the orbitofrontal cortex in creating cognitive maps. (submitted)
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