Publications:
Department for Computational Neuroscience

Journal Article (20)

1.
Journal Article
Brielmann, A.; Nuzzo, A.; Pelli, D.: Beauty, the feeling. Acta Psychologica 219, pp. 1 - 12 (2021)
2.
Journal Article
Hall-McMaster , S.; Dayan, P.; Schuck, N.: Control over patch encounters changes foraging behavior. iScience 24 (9), 103005, pp. 1 - 21 (2021)
3.
Journal Article
Silston, B.; Wise, T.; Qi, S.; Sui, X.; Dayan, P.; Mobbs, D.: Neural encoding of perceived patch value during competitive and hazardous virtual foraging. Nature Communications 12, 5478, pp. 1 - 11 (2021)
4.
Journal Article
Terenzi, D.; Liu, L.; Bellucci, G.; Park, S.: Determinants and modulators of human social decisions. Neuroscience and Biobehavioral Reviews 128, pp. 383 - 393 (2021)
5.
Journal Article
Horvath, L.; Colcombe, S.; Milham, M.; Ray, S.; Schwartenbeck, P.; Ostwald, D.: Human Belief State-Based Exploration and Exploitation in an Information-Selective Symmetric Reversal Bandit Task. Computational Brain & Behavior Epub ahead (2021)
6.
Journal Article
Neville, V.; Dayan, P.; Gilchrist, I.; Paul, E.; Mendl, M.: Using Primary Reinforcement to Enhance Translatability of a Human Affect and Decision-Making Judgment Bias Task. Journal of Cognitive Neuroscience Epub ahead (2021)
7.
Journal Article
Mancinelli, F.; Roiser, J.; Dayan, P.: Internality and the internalisation of failure: Evidence from a novel task. PLoS Computational Biology 17 (7), pp. 1 - 25 (2021)
8.
Journal Article
Moran, R.; Dayan, P.; Dolan, R.: Efficiency and prioritization of inference-based credit assignment. Current Biology 31 (13), pp. 2747 - 2756 (2021)
9.
Journal Article
Yang, Q.; Bellucci, G.; Hoffman, M.; Hsu, K.-T.; Lu, B.; Deshpande , G.; Krueger, F.: Intrinsic functional connectivity of the frontoparietal network predicts inter-individual differences in the propensity for costly third-party punishment. Cognitive, Affective and Behavioral Neuroscience Epub ahead (2021)
10.
Journal Article
Kóbor, A.; Kardos, Z.; Takács, Á.; Éltetö, N.; Janacsek, K.; Tóth-Fáber, E.; Csépe, V.; Nemeth, D.: Adaptation to recent outcomes attenuates the lasting effect of initial experience on risky decisions. Scientific Reports 11 (1), 10132, pp. 1 - 20 (2021)
11.
Journal Article
Brielmann, A.; Pelli, D.: The pleasure of multiple images. Attention, Perception & Psychophysics 83 (3), pp. 1179 - 1188 (2021)
12.
Journal Article
Brielmann, A.; Pelli, D.: Correction to: The pleasure of multiple images. Attention, Perception & Psychophysics 83 (3), p. 1189 (2021)
13.
Journal Article
Dayan, P.: When will's wont wants wanting. Behavioral and Brain Sciences 44, e35 (2021)
14.
Journal Article
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 Epub ahead (2021)
15.
Journal Article
Sargent, K.; Chavez-Baldini, U.; Master, S.; Verweij, K.; Lok, A.; Sutterland, A.; Vulink, N.; Denys, D.; Smit, D.; Nieman, D.: Resting-state brain oscillations predict cognitive function in psychiatric disorders: A transdiagnostic machine learning approach. NeuroImage: Clinical 30, 102617, pp. 1 - 9 (2021)
16.
Journal Article
Sukenik, N.; Vinogradov, O.; Weinreb, E.; Segal, M.; Levina, A.; Moses, E.: Neuronal circuits overcome imbalance in excitation and inhibition by adjusting connection numbers. Proceedings of the National Academy of Sciences of the United States of America 118 (12), pp. 1 - 9 (2021)
17.
Journal Article
Akam, T.; Rodrigues-Vaz, I.; Marcelo , I.; Zhang, X.; Pereira, M.; Freire Oliveira , R.; Dayan, P.; Costa, R.: The Anterior Cingulate Cortex Predicts Future States to Mediate Model-Based Action Selection. Neuron 109 (1), pp. 149 - 163 (2021)
18.
Journal Article
Hall-McMaster, S.; Dayan, P.; Schuck, N.: Control over patch encounters changes foraging behaviour. iScience Epub ahead (2021)
19.
Journal Article
Moran, R.; Dayan, P.; Dolan, R.: Human subjects exploit a cognitive map for credit assignment. Proceedings of the National Academy of Sciences of the United States of America 118 (4), pp. 1 - 12 (2021)
20.
Journal Article
Neville, V.; Dayan, P.; Gilchrist, I.; Paul, E.; Mendl, M.: Dissecting the links between reward and loss, decision-making, and self-reported affect using a computational approach. PLoS Computational Biology 17 (1), pp. 1 - 27 (2021)

Book Chapter (1)

21.
Book Chapter
Brielmann, A.: Empirical Aesthetics. In: Internet Encyclopedia of Philosophy (Eds. Fieser, J.; Dowden, B.) (2021)

Conference Paper (4)

22.
Conference Paper
Khajehabdollahi, S.; Giannakakis, E.; Prosi, J.; Levina, A.: Reservoir computing with self-organizing neural oscillators. In: Artificial Life Conference Proceedings, Vol. 2021, 78, pp. 1 - 3. ALIFE 2021: The 2021 Conference on Artificial Life, Praha, Czech Republic, July 19, 2021 - July 23, 2021. MIT Press (2021)
23.
Conference Paper
Prosi, J.; Khajehabdollahi, S.; Giannakakis, E.; Martius, G.; Levina, A.: The dynamical regime and its importance for evolvability, task performance and generalization. In: Artificial Life Conference Proceedings, Vol. 2021, 79, pp. 1 - 9. ALIFE 2021: The 2021 Conference on Artificial Life, Praha, Czech Republic, July 19, 2021 - July 23, 2021. MIT Press (2021)
24.
Conference Paper
Tano, P.; Dayan, P.; Pouget, A.: A local temporal difference code for distributional reinforcement learning. In: Advances in Neural Information Processing Systems 33, pp. 13662 - 13673 (Eds. Larochelle, H.; Ranzato, M.; Hadsell, R.; Balcan, M.-F.; Lin, H.-T.). 34th Conference on Neural Information Processing Systems (NeurIPS 2020), December 06, 2020 - December 12, 2020. Curran, Red Hook, NY, USA (2021)
25.
Conference Paper
Ahilan, S.; Dayan, P.: Correcting Experience Replay for Multi-Agent Communication. In: Ninth International Conference on Learning Representations (ICLR 2021). Ninth International Conference on Learning Representations (ICLR 2021), Vienna, Austria, May 03, 2021 - May 07, 2021. (2021)

Meeting Abstract (1)

26.
Meeting Abstract
Deserno, L.; Moran, R.; Lee, Y.; Michely, J.; Dayan, P.; Dolan, R.: Dopamine enhances model-free credit assignment through boosting of retrospective model-based inference. In Biological Psychiatry, 89 (9 Supplement), p. S94. 2021 Annual Scientific Convention and Meeting of the Society of Biological Psychiatry (SOBP 2021), April 29, 2021 - May 01, 2021. Elsevier, New York (2021)

Talk (12)

27.
Talk
Dayan, P.: Factual and Counterfactual Dopamine. Bernstein Conference 2021 Satellite Workshop: Distributed Representations in RL: from AI to Dopamine (2021)
28.
Talk
Brielmann, A.; Dayan, P.: A computational model of aesthetic value. 43rd European Conference on Visual Perception (ECVP 2021) (2021)
29.
Talk
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)
30.
Talk
Buendia, V.: Jensen’s force and the origin of asynchronous irregular states. International Conference on Mathematical Neuroscience (ICMNS 2021) (2021)
31.
Talk
Dayan, P.: Peril, Prudence and Planning as Risk, Avoidance and Worry. Berlin School of Mind and Brain: SCIoI Distinguished Speaker Series , Berlin, Germany (2021)
32.
Talk
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)
33.
Talk
Dinkel, H.: SoftwareCarpentry: Extrakurrikuläre Weiterbildung für den Forscher von heute. FDM-Kompetenzen: Forschungsdaten an den Max-Planck-Instituten (2021)
34.
Talk
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)
35.
Talk
Dayan, P.: Neural Reinforcement Learning. Brain Awareness Week: Webinar Series Regional Centre for Biotechnology, Haryana, India (2021)
36.
Talk
Dayan, P.: Peril, Prudence and Planning as Risk, Avoidance and Worry. Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands (2021)
37.
Talk
Dayan, P.: Modelling and Manipulating Behaviour Using Recurrent Networks. Donders Institute for Brain, Cognition and Behaviour: Donders lectures, Nijmegen, The Netherlands (2021)
38.
Talk
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)

Poster (16)

39.
Poster
Buendia, V.; Zeraati, R.; Engel, T.; Levina, A.: Variable critical exponents induced by topology-dependent coalescence in a branching network. Bernstein Conference 2021 (2021)
40.
Poster
Ershadmanesh, S.; Rajabi, S.; Rostami, R.; Moran, R.; Dayan, P.: Dopaminergic modulation of metacontrol. Bernstein Conference 2021 (2021)
41.
Poster
Giannakakis, E.; Vinogradov, O.; Levina, A.: Recurrent connectivity regulates the ability of inhibitory STDP to produce E/I co-tuning in a spiking network. Bernstein Conference 2021 (2021)
42.
Poster
Patzlaff, N.; Vinogradov, O.; Giannakakis, E.; Levina, A.: Examining network dynamics under inhibitory rewiring. Bernstein Conference 2021 (2021)
43.
Poster
Pombo, M.; Brielmann, A.; Pelli, D.: Discounting the effect of memory on repeated measures of beauty judgment. Twenty-First Annual Meeting of the Vision Sciences Society (V-VSS 2021) (2021)
44.
Poster
Vinogradov, O.; Buendia, V.; Levina, A.: Minimal model of cultured neuronal networks population dynamics. Bernstein Conference 2021 (2021)
45.
Poster
Yang, I.; Zeraati, R.; Zhang, Y.; Arrenberg, A.; Levina, A.: Evaluating the dynamical state of the visual brain during optic flow noise processing in zebrafish. Bernstein Conference 2021 (2021)
46.
Poster
Zeraati, R.; Shi, Y.-L.; Steinmetz, N.; Gieselmann, M.; Thiele, A.; Moore, T.; Levina, A.; Engel, T.: Attentional modulation of intrinsic timescales in visual cortex and its underlying network mechanisms. Bernstein Conference 2021 (2021)
47.
Poster
Pombo, M.; Brielmann, A.; Pelli, D.: How sequential dependencies affect the intraindividual variability of beauty judgment. 43rd European Conference on Visual Perception (ECVP 2021) (2021)
48.
Poster
Bruijns, S.; Dayan, P.: Exploring learning trajectories with dynamic infinite hidden Markov models. 43rd Annual Conference of the Cognitive Science Society (CogSci 2021) (2021)
49.
Poster
Elteto, N.; Nemeth, D.; Janacsek, K.; Dayan, P.: Tracking the Unknown: Modeling Long-Term Implicit Skill Acquisition as Non-Parametric Bayesian Sequence Learning. 43rd Annual Conference of the Cognitive Science Society (CogSci 2021) (2021)
50.
Poster
Schulz, L.; Fleming, S.; Dayan, P.: Metacognitive Computations for Information Search: Confidence in Control. 43rd Annual Conference of the Cognitive Science Society (CogSci 2021) (2021)
51.
Poster
Wu, S.; Elteto, N.; Dasgupta, I.; Schulz, E.: Chunking as a rational solution to the speed-accuracy trade-off in a serial reaction time task. 43rd Annual Conference of the Cognitive Science Society (CogSci 2021) (2021)
52.
Poster
Fardet, T.; Levina, A.; Paulun, N.: Revisiting and revising clustering in brain networks. Computational and Systems Neuroscience Meeting (COSYNE 2021) (2021)
53.
Poster
Tano, P.; Dayan, P.; Pouget, A.: A Local Temporal Difference Code for Distributional Reinforcement Learning. Computational and Systems Neuroscience Meeting (COSYNE 2021) (2021)
54.
Poster
Zierenberg, J.; Wilting, J.; Priesemann, V.; Levina, A.: Tailored ensembles of neural networks optimize sensitivity to stimulus statistics. DPG-Frühjahrstagungen 2021 BP-CPP-DY-SOE (2021)

Working Paper (9)

55.
Working Paper
Dayan, P.: "Liking" as a First Draft of the Affective Future. (submitted)
56.
Working Paper
Antonov, G.; Gagne, C.; Eldar, E.; Dayan, P.: Optimism and Pessimism in Optimised Replay. (submitted)
57.
Working Paper
Schwartenbeck, P.; Baram, A.; Liu, Y.; Mark, S.; Muller, T.; Dolan, R.; Botvinick, M.; Kurth-Nelson, Z.; Behrens, T.: Generative replay for compositional visual understanding in the prefrontal-hippocampal circuit. (submitted)
58.
Working Paper
Bröker, F.; Love, B.; Dayan, P.: When unsupervised training benefits category learning. (submitted)
59.
Working Paper
Fardet, T.; Levina, A.: Weighted directed clustering: interpretations and requirements for heterogeneous, inferred, and measured networks. (submitted)
60.
Working Paper
Gagne, C.; Dayan, P.: Peril, Prudence and Planning as Risk, Avoidance and Worry. (submitted)
61.
Working Paper
Zeraati, R.; Engel, T.; Levina, A.: A flexible Bayesian framework for unbiased estimation of timescales. (submitted)
62.
Working Paper
Zeraati, R.; Shi, Y.-L.; Steinmetz, N.; Gieselmann, M.; Thiele, A.; Moore, T.; Levina, A.; Engel, T.: Attentional modulation of intrinsic timescales in visual cortex and spatial networks. (submitted)
63.
Working Paper
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. (submitted)
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