_{Publications:
Department for Computational Neuroscience}

Berridge, K.; Dayan, P.: Liking. Current Biology 31 (24), pp. R1555 - R1557 (2021)

Deserno, L.; Moran, R.; Michely, J.; Lee, Y.; Dayan, P.; Dolan, R.: Dopamine enhances model-free credit assignment through boosting of retrospective model-based inference. eLife 10 (2021)

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 4 (4), pp. 442 - 462 (2021)

Wu, Y.; Veerareddy, A.; Lee, M.; Bellucci, G.; Camilleri, J.; Eickhoff, S.; Krueger, F.: Understanding identification-based trust in the light of affiliative bonding: Meta-analytic neuroimaging evidence. Neuroscience and Biobehavioral Reviews 131, pp. 627 - 641 (2021)

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 21 (6), pp. 1222 - 1232 (2021)

Fardet, T.; Levina, A.: Weighted directed clustering: interpretations and requirements for heterogeneous, inferred, and measured networks. Physical Review Research 3, 043124 (2021)

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 33 (12), pp. 2523 - 2535 (2021)

Na, S.; Chung, D.; Hula, A.; Perl, O.; Jung, J.; Heflin, M.; Blackmore , S.; Fiore, V.; Dayan, P.; Gu, X.: Humans use forward thinking to exploit social controllability. eLife 10 (2021)

Sai, L.; Bellucci, G.; Wang, C.; Fu, G.; Camilleri , J.; Eickhoff, S.; Krueger, F.: Neural mechanisms of deliberate dishonesty: Dissociating deliberation from other control processes during dishonest behaviors. Proceedings of the National Academy of Sciences of the United States of America 118 (43), pp. 1 - 3 (2021)

Brielmann, A.; Nuzzo, A.; Pelli, D.: Beauty, the feeling. Acta Psychologica 219, pp. 1 - 12 (2021)

Buendia, V.; Villegas, P.; Burioni, R.; Muñoz, M.: The broad edge of synchronisation: Griffiths effects and collective phenomena in brain networks. (submitted)

Hall-McMaster , S.; Dayan, P.; Schuck, N.: Control over patch encounters changes foraging behavior. iScience 24 (9), 103005 (2021)

Hall-McMaster, S.; Dayan, P.; Schuck, N.: Control over patch encounters changes foraging behaviour. iScience 24 (9), 103005 (2021)

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 (2021)

Terenzi, D.; Liu, L.; Bellucci, G.; Park, S.: Determinants and modulators of human social decisions. Neuroscience and Biobehavioral Reviews 128, pp. 383 - 393 (2021)

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)

Moran, R.; Dayan, P.; Dolan, R.: Efficiency and prioritization of inference-based credit assignment. Current Biology 31 (13), pp. 2747 - 2756 (2021)

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)

Brielmann, A.; Pelli, D.: The pleasure of multiple images. Attention, Perception & Psychophysics 83 (3), pp. 1179 - 1188 (2021)

Brielmann, A.; Pelli, D.: Correction to: The pleasure of multiple images. Attention, Perception & Psychophysics 83 (3), p. 1189 (2021)

Dayan, P.: When will's wont wants wanting. Behavioral and Brain Sciences 44, e35 (2021)

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)

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)

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)

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)

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

Gagne, C.; Dayan, P.: Catastrophe, Compounding & Consistency in Choice. In: Workshop on Human and Machine Decisions @ NeurIPS 2021 (WHMD 2021). Workshop on Human and Machine Decisions @ NeurIPS 2021 (WHMD 2021), December 14, 2021. (2021)

Khajehabdollahi, S.; Giannakakis, E.; Prosi, J.; Levina, A.: Reservoir computing with self-organizing neural oscillators. In: Artificial Life Conference Proceedings, Vol. 2021, 78. ALIFE 2021: The 2021 Conference on Artificial Life, Praha, Czech Republic, July 19, 2021 - July 23, 2021. MIT Press (2021)

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. ALIFE 2021: The 2021 Conference on Artificial Life, Praha, Czech Republic, July 19, 2021 - July 23, 2021. MIT Press (2021)

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)

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)

Schulz, L.; Schulz, E.; Bhui, R.; Dayan, P.: Towards a computational cognitive perspective of misinformation. In NeNa Conference 2021: Neurowissenschaftliche Nachwuchskonferenz (Conference of Junior Neuroscientists), T10, p. 11. 22nd Conference of Junior Neuroscientists (NeNa 2021), Tübingen, Germany, October 07, 2021. (2021)

Bellucci, G.; Park, S.: How to trust when lonely? The effects of loneliness on behaviors and expectations in trusting interactions. In Journal of Neuroscience, Psychology, and Economics, 2022 (3), p. 18. 17th NeuroPsychoEconomics Conference 2021: “Bridging Neuroscience, Psychology, and Economics” , Amsterdam, The Netherlands, June 10, 2021 - June 11, 2021. Educational Publishing Foundation, Washington, DC, USA (2021)

Buendía, V.: Sincronización crítica en el cerebro: una perspectiva físico-estadística. In I Congreso FisEs '21 Joven. I Congreso FisEs '21 Joven, May 05, 2021 - May 06, 2021. (2021)

Dayan, P.; Lloyd, K.: Aversion or Inversion: The Curious Case of Dopamine and Punishment [Aversion ou inversion: le cas curieux de la Dopamine et la punition]. In NeuroFrance 2021, S28.2. NeuroFrance 2021, Strasbourg, France, May 19, 2021 - May 21, 2021. (2021)

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)

Brielmann, A.; Dayan, P.: A computational model of aesthetic value. 43rd European Conference on Visual Perception (ECVP 2021) (2021)

Dinkel, H.: Software Carpentry & Open Life Science: two great initiatives. The TNC Open Science Initiative, Tübingen, Germany (2021)

Dayan, P.: "Liking" as a First Draft of the Affective Future. Champalimaud Research Symposium 2021: Dialogues on Neural and Machine Intelligence, Lisboa, Portugal (2021)

Chatterjee, A.; Fingerhut, J.; Nadal, M.; Skov, M.; Brielmann, A.: Panel Discussion The concept of Aesthetic Emotions in the age of neuroasthetics: a roundtable discussion. XXVI Congress of the International Association of Empirical Aesthetics (IAEA 2021) (2021)

Dayan, P.: Factual and Counterfactual Dopamine. Bernstein Conference 2021 Satellite Workshop: Distributed Representations in RL: from AI to Dopamine (2021)

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)

Buendia, V.: Jensen’s force and the origin of asynchronous irregular states. International Conference on Mathematical Neuroscience (ICMNS 2021) (2021)

Dayan, P.: Computational Psychiatry. Workshop: Minds, Models and Mechanisms: Current Trends in Philosophy of Psychiatry, Saarbrücken, Germany (2021)

Dayan, P.: Peril, Prudence and Planning as Risk, Avoidance and Worry. Berlin School of Mind and Brain: SCIoI Distinguished Speaker Series , Berlin, Germany (2021)

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)

Dinkel, H.: SoftwareCarpentry: Extrakurrikuläre Weiterbildung für den Forscher von heute. FDM-Kompetenzen: Forschungsdaten an den Max-Planck-Instituten (2021)

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)

Dayan, P.: Neural Reinforcement Learning. Brain Awareness Week: Webinar Series Regional Centre for Biotechnology, Haryana, India (2021)

Chatterjee, A.; Salingaros, N.; Brielmann, A.: Neuroaesthetics and Cognitive Architecture. The Traditional Architecture Gathering TAG 4 Session 2 (2021)

Dayan, P.: Peril, Prudence and Planning as Risk, Avoidance and Worry. Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands (2021)

Dayan, P.: Modelling and Manipulating Behaviour Using Recurrent Networks. Donders Institute for Brain, Cognition and Behaviour: Donders lectures, Nijmegen, The Netherlands (2021)

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)

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)

Toro-Serey, C.; Tang, W.; Trambaiolli, L.; Dayan, P.; Haber, S.: ACC-striatal Projections are Uniquely Positioned to Interact With an Unusually Functionally Diverse Set of Cortical Areas. 60th Annual Meeting of the American College of Neuropsychopharmacology (ACNP 2021), San Juan, Puerto Rico (2021)

Bonacchi, N.; Bruijns, S.; Chapuis, G.; Churchland, A.; Faulkner, M.; Lee, H.; Meijer, G.; Paninski, L.; Roth, N.; Steinmetz, N. et al.; Taheri, M.; West, S.; Winter, O.: Reproducibility of electrophysiological measurements during decision-making. 50th Annual Meeting of the Society for Neuroscience (Neuroscience 2021) (2021)

Bruijns, S.; Dayan, P.: Exploring learning trajectories with dynamic infinite hidden Markov models. 43rd Annual Conference of the Cognitive Science Society (CogSci 2021), Wien, Austria (2021)

Bucher, S.; Brandenburger, A.: Divisive normalization is an efficient code for multivariate Pareto-distributed environments. 50th Annual Meeting of the Society for Neuroscience (Neuroscience 2021) (2021)

Costa, K.; Scholz, R.; Lloyd, K.; Gardner, M.; Dayan, P.; Schoenbaum, G.: The orbitofrontal cortex is necessary for forming outcome-specific representations during learning Add to Itinerary. 50th Annual Meeting of the Society for Neuroscience (Neuroscience 2021) (2021)

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), Wien, Austria (2021)

Findling, C.; Dayan, P.; Pouget, A.: Subject-to-subject and session-to-session variability in behavioural strategy for the International Brain Lab task. 50th Annual Meeting of the Society for Neuroscience (Neuroscience 2021) (2021)

Gercek, B.; Meijer, G.; Benson, B.; Schaeffer, R.; Findling, C.; Banga, K.; Langdon, C.; Miska, N.; Schartner, M.; Socha, K. et al.; Whiteway, M.; Dayan, P.; Harris, K.; Pouget, A.: Neural correlates of an approximate prior in perceptual decision making. 50th Annual Meeting of the Society for Neuroscience (Neuroscience 2021) (2021)

Langdon, C.; Schartner, M.; Dewitt, E.; Harris, K.; Fiete, I.; Dayan, P.: Task-relevant population dynamics in the international brain lab dataset revealed by manifold analysis. 50th Annual Meeting of the Society for Neuroscience (Neuroscience 2021) (2021)

Schartner, M.; Langdon, C.; Miska, J.; Whiteway, M.; Huntenburg, J.; Harris, K.; Fiete, I.; Pouget, A.; Dayan, P.: Motor correlates of cognitive variables in the international brain laboratory task. 50th Annual Meeting of the Society for Neuroscience (Neuroscience 2021) (2021)

Schulz, L.; Fleming, S.; Dayan, P.: Metacognitive Computations for Information Search: Confidence in Control. 43rd Annual Conference of the Cognitive Science Society (CogSci 2021), Wien, Austria (2021)

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), Wien, Austria (2021)

Bucher, S.; Glimcher, P.: Late integration of prior belief in drift-diffusion models. 19th Annual Meeting of the Society for NeuroEconomics (vSNE 2021) (2021)

Buendia, V.; Zeraati, R.; Engel, T.; Levina, A.: Variable critical exponents induced by topology-dependent coalescence in a branching network. Bernstein Conference 2021 (2021)

Ershadmanesh, S.; Rajabi, S.; Rostami, R.; Moran, R.; Dayan, P.: Dopaminergic modulation of metacontrol. Bernstein Conference 2021 (2021)

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)

Vinogradov, O.; Buendia, V.; Levina, A.: Minimal model of cultured neuronal networks population dynamics. Bernstein Conference 2021 (2021)

Fardet, T.; Levina, A.; Paulun, N.: Revisiting and revising clustering in brain networks. Computational and Systems Neuroscience Meeting (COSYNE 2021) (2021)

Tano, P.; Dayan, P.; Pouget, A.: A Local Temporal Difference Code for Distributional Reinforcement Learning. Computational and Systems Neuroscience Meeting (COSYNE 2021) (2021)