Publications:
Department for Computational Neuroscience

Journal Article (7)

1.
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)
2.
Journal Article
Bröker, F.; Love, B.; Dayan, P.: When unsupervised training benefits category learning. Cognition 221, 104984 (2022)
3.
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)
4.
Journal Article
Gagne, C.; Dayan, P.: Peril, Prudence and Planning as Risk, Avoidance and Worry. Journal of Mathematical Psychology 106 (2022)
5.
Journal Article
Antonov, G.; Gagne, C.; Eldar, E.; Dayan, P.: Optimism and Pessimism in Optimised Replay. PLoS Computational Biology 18 (1) (2022)
6.
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, pp. 1 - 35 (2022)
7.
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)

8.
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)

Meeting Abstract (1)

9.
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 (1)

10.
Talk
Dayan, P.: Peril, Prudence and Planning as Risk, Avoidance and Worry. Institute for Applied Computational Science, Harvard University, Cambridge, MA, USA (2022)

Poster (6)

11.
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)
12.
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)
13.
Poster
Giannakakis, E.; Vinogradov, O.; Levina, A.: Clustered recurrent connectivity promotes the development of E/I co-tuning via synaptic plasticity. Computational and Systems Neuroscience Meeting (COSYNE 2022), Lisboa, Portugal (2022)
14.
Poster
Levina, A.; Fardet, T.: Weighted clustering motifs and small-worldness in connectomes. Computational and Systems Neuroscience Meeting (COSYNE 2022), Lisboa, Portugal (2022)
15.
Poster
Tano, P.; Dayan, P.; Pouget, A.: Automatic Task Decomposition using Compositional Reinforcement Learning. Computational and Systems Neuroscience Meeting (COSYNE 2022), Lisboa, Portugal (2022)
16.
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)

Preprint (14)

17.
Preprint
Dubey, R.; Griffiths, T.; Dayan, P.: The pursuit of happiness: A reinforcement learning perspective on habituation and comparisons. (submitted)
18.
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)
19.
Preprint
Corral López, R.; Buendia, V.; Muñoz, M.: The excitatory-inhibitory branching process: a parsimonious view of cortical asynchronous states, excitability, and criticality. (submitted)
20.
Preprint
Pombo, M.; Brielmann, A.; Pelli, D.: The intrinsic variance of beauty judgment. (submitted)
21.
Preprint
Wise, T.; Charpentier, T.; Dayan, P.; Mobbs, D.: Modeling the mind of a predator: Interactive cognitive maps support flexible avoidance of dynamic threats. (submitted)
22.
Preprint
Chebolu, S.; Dayan, P.; Lloyd, K.: Vigilance, arousal, and acetylcholine: Optimal control of attention in a simple detection task. (submitted)
23.
Preprint
Khajehnejad, M.; Habibollahi, F.; Nock, R.; Arabzadeh, E.; Dayan, P.; Dezfouli, A.: Neural Network Poisson Models for Behavioural and Neural Spike Train Data. (submitted)
24.
Preprint
Ludwig, T.; Wu, C.; Schulz, E.: Connecting Exploration, Generalization, and Planning in Correlated Trees. (submitted)
25.
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)
26.
Preprint
Zamfir, E.; Dayan, P.: Interactions between attributions and beliefs at high temporal resolution: evidence from a novel task. (submitted)
27.
Preprint
Zeraati, R.; Engel, T.; Levina, A.: A flexible Bayesian framework for unbiased estimation of timescales. (submitted)
28.
Preprint
Dubey, R.; Griffiths, T.; Dayan, P.: Why it is hard to be happy with what we have: A reinforcement learning perspective. (submitted)
29.
Preprint
Éltetö, N.; Nemeth, D.; Janacsek, K.; Dayan, P.: Tracking human skill learning with a hierarchical Bayesian sequence model. (submitted)
30.
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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