_{Publications:
Department for Computational Neuroscience}

Baumann, T.; Mallot, H.: Metric information in cognitive maps: Euclidean embedding of non-Euclidean environments. PLoS Computational Biology 19 (12), e1011748 (2023)

Haridi, S.; Wu, C.; Dasgupta, I.; Schulz, E.: The scaling of mental computation in a sorting task. Cognition 241, 105605 (2023)

Kumar, P.; Dayan, P.; Wolfers, T.: From Complexity to Precision-Charting Decision-Making Through Normative Modeling. JAMA Psychiatry 81 (2), pp. 117 - 118 (2023)

Guitart-Masip, M.; Walsh, A.; Dayan, P.; Olsson, A.: Anxiety associated with perceived uncontrollable stress enhances expectations of environmental volatility and impairs reward learning. Scientific Reports 131 (1), 18451 (2023)

Lloyd, K.; Dayan, P.: Reframing dopamine: A controlled controller at the limbic-motor interface. PLoS Computational Biology 19 (10), e1011569 (2023)

Schwartenbeck, P.; Baram, A.; Liu, Y.; Mark, S.; Muller, T.; Dolan, R.; Botvinick, M.; Kurth-Nelson , Z.; Behrens, T.: Generative replay underlies compositional inference in the hippocampal-prefrontal circuit. Cell 186 (22), pp. 4885 - 4897 (2023)

Alon, N.; Schulz, L.; Rosenschein, J.; Dayan, P.: A (dis-)information Theory of Revealed and Unrevealed Preferences: Emerging Deception and Skepticism via Theory of Mind. Open mind: discoveries in cognitive science 7, pp. 608 - 624 (2023)

Navidi, P.; Saeedpour, S.; Ershadmanesh, S.; Hossein, M.; Bahrami, B.: Prosocial learning: Model-based or model-free? PLoS One 18 (6), e0287563 (2023)

Wise, T.; Charpentier, C.; Dayan, P.; Mobbs, D.: Interactive cognitive maps support flexible behavior under threat. Cell Reports 42 (8), 113008 (2023)

Yamamoto, H.; Spitzner, F.; Takemuro, T.; Buendía, V.; Murota, H.; Morante, C.; Konno, T.; Sato, S.; Hirano-Iwata, A.; Levina, A. et al.; Priesemann, V.; Muñoz, M.; Zierenberg, J.; Soriano, J.: Modular architecture facilitates noise-driven control of synchrony in neuronal networks. Science Advances 9 (34), eade1755 (2023)

Dayan, P.: Metacognitive Information Theory. Open mind: discoveries in cognitive science 7, pp. 392 - 411 (2023)

Roelofs, K.; Klaassen, F.; Dayan, P.: Reply to "Post-encounter freezing during approach-avoidance conflict: the role of the hippocampus". Nature Reviews Neuroscience 24 (7), pp. 453 - 454 (2023)

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. Journal of Experimental Psychology: Human Perception and Performance 49 (6), pp. 774 - 785 (2023)

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 55 (4), pp. 2037 - 2079 (2023)

Ehrenberg, A.; Kelberman, M.; Liu, K.; Dahl, M.; Weinshenker, D.; Falgàs, N.; Dutt, S.; Mather, M.; Ludwig, M.; Betts, M. et al.; Winer, J.; Teipel, S.; Weigand, A.; Eschenko, O.; Hämmerer, D.; Leiman, M.; Counts, S.; Shine, J.; Robertson, I.; Levey, A.; Lancini, E.; Son, G.; Schneider, C.; Van Egroo, M.; Liguori, C.; Wang, Q.; Vazey, E.; Rodriguez-Porcel, F.; Haag, L.; Bondi, M.; Vanneste, S.; Freeze, W.; Yi, Y.-J.; Maldinov, M.; Gatchel, J.; Satpati, A.; Babiloni, C.; Kremen, W.; Howard, R.; Jacobs, H.; Grinberg, L.: Priorities for research on neuromodulatory subcortical systems in Alzheimer's disease: Position paper from the NSS PIA of ISTAART. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 19 (5), pp. 2182 - 2196 (2023)

Pombo, M.; Brielmann, A.; Pelli, D.: The intrinsic variance of beauty judgment. Attention, Perception & Psychophysics 85 (4), pp. 1355 - 1373 (2023)

Wu, S.; Éltetö, N.; Dasgupta, I.; Schulz, E.: Chunking as a rational solution to the speed-accuracy trade-off in a serial reaction time task. Scientific Reports 13, 7680 (2023)

Bröker, F.; Ramscar, M.: Representing absence of evidence: why algorithms and representations matter in models of language and cognition. Language, Cognition and Neuroscience 38 (4), pp. 597 - 620 (2023)

Schulz, L.; Fleming, S.; Dayan, P.: Metacognitive Computations for Information Search: Confidence in Control. Psychological Review 130 (3), pp. 604 - 639 (2023)

Barnby, J.; Dayan, P.; Bell, V.: Formalising social representation to explain psychiatric symptoms. Trends in Cognitive Sciences 27 (3), pp. 317 - 332 (2023)

International Brain Laboratory; Bonacchi, N.; Chapuis, G.; Churchland, A.; DeWitt, E.; Faulkner, M.; Harris, K.; Huntenburg, J.; Hunter, M.; Laranjeira, I. et al.; Rossant, C.; Sasaki, M.; Schartner, M.; Shen, S.; Steinmetz, N.; Walker, E.; West, S.; Winter, O.; Wells, M.: A modular architecture for organizing, processing and sharing neurophysiology data. Nature Methods 20 (3), pp. 403 - 407 (2023)

Rens, N.; Lancia, G.; Eluchans, M.; Schwartenbeck, P.; Cunnington, R.; Pezzulo, G.: Evidence for entropy maximisation in human free choice behaviour. Cognition 232, 105328 (2023)

Kurth-Nelson, Z.; Behrens, T.; Wayne, G.; Miller, K.; Luettgau, L.; Dolan, R.; Liu, Y.; Schwartenbeck, P.: Replay and compositional computation. Neuron 111 (4), pp. 454 - 469 (2023)

Kóbor, A.; Tóth-Fáber, E.; Kardos, Z.; Takács , Á.; Éltetö, N.; Janacsek, K.; Csépe, V.; Nemeth, D.: Simple deterministic and complex probabilistic regularities underlying risky choices are acquired in a changing decision context. Scientific Reports 13 (1), 1127 (2023)

Machado Costa, K.; Scholz, R.; Lloyd, K.; Moreno-Castilla, P.; Gardner, M.; Dayan, P.; Schoenbaum, G.: The role of the lateral orbitofrontal cortex in creating cognitive maps. Nature Neuroscience 26 (1), pp. 107 - 115 (2023)

Whole brain dynamics: Modeling and applications. Satellite Workshops of the Bernstein Conference 2023: Whole brain dynamics: Modeling and applications, Berlin, Germany, September 26, 2023. (2023)

Multi-modal understanding of brain and behavior. Satellite Workshops of the Bernstein Conference 2023: Multi-modal understanding of brain and behavior, Berlin, Germany, September 26, 2023. (2023)

Bucher, S.; Dayan, P.: Cognitive Information Filters: Algorithmic Choice Architecture for Boundedly Rational Consumers. In: NeurIPS 2023 workshop: Information-Theoretic Principles in Cognitive Systems: InfoCog@NeurIPS2023. NeurIPS 2023 workshop: Information-Theoretic Principles in Cognitive Systems: InfoCog@NeurIPS2023, New Orleans, LA, USA, December 15, 2023. (2023)

Safavi, S.: Methods for cross-scale analysis of neural data. In: Satellite Workshops of the Bernstein Conference 2023: Multi-modal understanding of brain and behavior. Satellite Workshops of the Bernstein Conference 2023: Multi-modal understanding of brain and behavior, Berlin, Germany, September 26, 2023 - September 27, 2023. (2023)

Bruijns, S.; Dayan, P.; The International Brain Laborartory: Understanding Learning Trajectories With Infinite Hidden Markov Models. In: 2023 Conference on Cognitive Computational Neuroscience, P-2.97, pp. 770 - 772. Conference on Cognitive Computational Neuroscience (CCN 2023), Oxford, UK, August 24, 2023 - August 27, 2023. (2023)

Ershadmanesh, S.; Gholamzadeh, A.; Desender, K.; Dayan, P.: Meta-cognitive Efficiency in Learned Value-based Choice. In: 2023 Conference on Cognitive Computational Neuroscience, P-1A.9, pp. 29 - 32. Conference on Cognitive Computational Neuroscience (CCN 2023), Oxford, UK, August 24, 2023 - August 27, 2023. (2023)

Hamidi, M.; Bányai, M.; Wu, C.: One bottleneck is not enough. In: 2023 Conference on Cognitive Computational Neuroscience, P-2B.44, pp. 795 - 798. Conference on Cognitive Computational Neuroscience (CCN 2023), Oxford, UK, August 24, 2023 - August 27, 2023. (2023)

Renz, F.; Grossman, S.; Schuck, N.; Dayan, P.; Doeller, C.: Learning and adapting cognitive maps for flexible decision-making. In: 2023 Conference on Cognitive Computational Neuroscience, P-3.35, pp. 999 - 1001. Conference on Cognitive Computational Neuroscience (CCN 2023), Oxford, UK, August 24, 2023 - August 27, 2023. (2023)

Rubino, V.; Dayan, P.; Wu, C.: Biases towards compositionally simpler hypotheses are robust and unaffected by learning. In: 2023 Conference on Cognitive Computational Neuroscience, P-2B.50, pp. 817 - 820. Conference on Cognitive Computational Neuroscience (CCN 2023), Oxford, UK, August 24, 2023 - August 27, 2023. (2023)

Safavi, S.; Dayan, P.: A decision-theoretic model of perceptual multistability: perceptual switches as internal actions. In: 2023 Conference on Cognitive Computational Neuroscience, P-3.41, pp. 1022 - 1024. Conference on Cognitive Computational Neuroscience (CCN 2023), Oxford, UK, August 24, 2023 - August 27, 2023. (2023)

Shen, T.; Dayan, P.: Risking your Tail: Curiosity, Danger & Exploration. In: 2023 Conference on Cognitive Computational Neuroscience, P-3.67, pp. 1113 - 1116. Conference on Cognitive Computational Neuroscience (CCN 2023), Oxford, UK, August 24, 2023 - August 27, 2023. (2023)

Shen, T.; Dayan, P.; Bányai, M.: Meta-cognitive planning for learning representations. In: 2023 Conference on Cognitive Computational Neuroscience, P-2.1, pp. 425 - 428. Conference on Cognitive Computational Neuroscience (CCN 2023), Oxford, UK, August 24, 2023 - August 27, 2023. (2023)

Xiong, Y.; Wu, C.; Moneta, N.; Banyai, M.: Selective memory for reward-relevant features is modulated by expertise during reward learning. In: 2023 Conference on Cognitive Computational Neuroscience, P-2.87, pp. 733 - 736. Conference on Cognitive Computational Neuroscience (CCN 2023), Oxford, UK, August 24, 2023 - August 27, 2023. (2023)

Alon, N.; Schulz, L.; Dayan, P.; Barnby, J.: Between prudence and paranoia: Theory of Mind gone right, and wrong. In: ICML 2023: First Workshop on Theory of Mind in Communicating Agents (ToM 2023). ICML 2023: First Workshop on Theory of Mind in Communicating Agents (ToM 2023), Honolulu, HI,USA, July 28, 2023. (2023)

Éltetö, N.; Dayan, P.: Habits of Mind: Reusing Action Sequences for Efficient Planning. 45th Annual Meeting of the Cognitive Science Society (CogSci 2023): Workshop "Compositionality in minds, brains and machines: a unifying goal that cuts across cognitive sciences", Sydney, Australia, July 26, 2023 - July 29, 2023. Proceedings of the Annual Meeting of the Cognitive Science Society 45, pp. 195 - 201 (2023)

Kurtz-David, V.; Alladi, V.; Bucher, S.; Brandenburger, A.; Louie, K.; Glimcher, P.; Tymula, A.: Choosers Adapt Value Coding to the Environment, But Do Not Attain Efficiency. 45th Annual Meeting of the Cognitive Science Society (CogSci 2023), Sydney, Australia, July 26, 2023 - July 29, 2023. Proceedings of the Annual Meeting of the Cognitive Science Society 45, pp. 2237 - 2244 (2023)

Rubino, V.; Hamidi, M.; Dayan, P.; Wu, C.: Compositionality under time pressure. 45th Annual Meeting of the Cognitive Science Society (CogSci 2023), Sydney, Australia, July 26, 2023 - July 29, 2023. Proceedings of the Annual Meeting of the Cognitive Science Society 45, pp. 678 - 685 (2023)

Nath, S.: Inside the Grid, yet Outside the Box: Computational Investigations of Human Creativity using Pixel Patterns. In: C&C '23: Proceedings of the 15th Conference on Creativity and Cognition, pp. 28 - 34. 15th Conference on Creativity and Cognition (C&C 2023), June 19, 2023 - June 21, 2023. Association for Computing Machinery, New York, NY, USA (2023)

Schulz, L.; Alon, N.; Rosenschein, J.; Dayan, P.: Emergent deception and skepticism via theory of mind. In: ICML 2023: First Workshop on Theory of Mind in Communicating Agents (ToM 2023). ICML 2023: First Workshop on Theory of Mind in Communicating Agents (ToM 2023), Honolulu, HI,USA, July 28, 2023. (submitted)

Wu, S.; Éltetö, N.; Dasgupta, I.; Schulz, E.: Learning Structure from the Ground up: Hierarchical Representation Learning by Chunking. In: Advances in Neural Information Processing Systems 35: 36th Conference on Neural Information Processing Systems (NeurIPS 2022), pp. 36706 - 36721 (Eds. Koyejo, S.; Mohamed, S.). Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA, November 28, 2022 - December 09, 2022. Curran, Red Hook, NY, USA (2023)

Khajehabdollahi, S.; Giannakakis, E.; Buendia, V.; Martius, G.; Levina, A.: Locally adaptive cellular automata for goal-oriented self-organization. In: ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference, pp. 410 - 419 (Eds. Iizuka, H.; Suzuki, K.; Uno, R.; Damiano, L.; Spychala, N. et al.). ALIFE 2023: Ghost in the Machine: The 2021 Conference on Artificial Life, Sapporo, Japan, July 24, 2023 - July 28, 2023. MIT Press (2023)

Kastner, D.; Holobetz, C.; Yokotoa, N.; Williams, G.; Romano, J.; Dayan, P.: Slow progress of learning in rats haploinsufficient for a high-risk ASD gene. In 52nd Annual Meeting of the Society for Neuroscience (Neuroscience 2023), NANO01.09, pp. 9 - 10. 52nd Annual Meeting of the Society for Neuroscience (Neuroscience 2023), Washington, DC, USA, November 11, 2023 - November 15, 2023. (2023)

Kurtz David, V.; Alladi, V.; Sinha, S.; Bucher, S.; Brandenburger, A.; Louie, K.; Dewan, A.; Glimcher, P.; Tymula, A.: Inefficient Divisive Normalization: Human Choosers Employ Divisive Normalization Even When They Should Not. In 52nd Annual Meeting of the Society for Neuroscience (Neuroscience 2023), NANO58.13, p. 544. 52nd Annual Meeting of the Society for Neuroscience (Neuroscience 2023), Washington, DC, USA, November 11, 2023 - November 15, 2023. (2023)

Safavi, S.; Dayan, P.: A decision-theoretic model of perceptual multistability: perceptual switches as internal actions. In 52nd Annual Meeting of the Society for Neuroscience (Neuroscience 2023), NANO58.08, pp. 538 - 539. 52nd Annual Meeting of the Society for Neuroscience (Neuroscience 2023), Washington, DC, USA, November 11, 2023 - November 15, 2023. (2023)

Bruijns, S.; Dayan, P.: Dissecting the Complexities of the Learning Curve With State-Based Models. In NeNa Conference 2023: Neurowissenschaftliche Nachwuchskonferenz (Conference of Junior Neuroscientists), T12, p. 25. 24th Conference of Junior Neuroscientists (NeNa 2023), Frankfurt a.M., Germany, September 11, 2023 - September 13, 2023. (2023)

Zeraati, R.; Khajehabdollahi, S.; Giannakakis, E.; Schäfer, T.; Martius, G.; Levina, A.: Role of single-neuron and network-mediated timescales in recurrent neural networks solving long-memory tasks. In Bernstein Conference 2023, CT 4. Bernstein Conference 2023, Berlin, Germany, September 26, 2023 - September 29, 2023. (2023)

Basgol, H.; Raab, F.; Dayan, P.; Franz, V.: Violations of Visual Regularities Induce Pupil Dilation Responses. In Abstracts 66th TeaP, p. 57 (Eds. Fröber, K.; Abel, M.; Bäuml, K.-H.; Dreisbach, G.; Kliegl, O. et al.). 66th Conference of Experimental Psychologists: TeaP 2024: Tagung experimentell arbeitender Psycholog:innen, Regensburg, Germany, March 17, 2024 - March 20, 2024. Pabst Science, Lengerich, Germany (2023)

Buendía, V.: On mesoscopic, finite-size populations of stochastic coupled oscillators. In III Conference of the Italian Society of Statistical Physics (SIFS 2023). III Conference of the Italian Society of Statistical Physics (SIFS 2023), Parma, Italy, June 21, 2023 - June 23, 2023. (2023)

Nath, S.; Brändle, F.; Schulz, E.; Dayan, P.; Brielmann, A.: Relating Objective Complexity, Subjective Complexity and Beauty. In Abstracts of the 65th TeaP, pp. 262 - 263 (Eds. Merz, S.; Frings, C.; Leuchtenberg, B.; Moeller, B.; Neumann, R. et al.). 65th Conference of Experimental Psychologists: TeaP 2023: Tagung experimentell arbeitender Psycholog:innen, Trier, Germany, March 26, 2023 - March 29, 2023. ZPID, Trier, Germany (2023)

Zamfir, E.; Dayan, P.: Interactions Between Causal Attributions And Beliefs: Evidence From A Novel Computer Game Task. In 48. Jahrestagung Psychologie & Gehirn (PuG 2023), S31.2, p. 139. 48. Jahrestagung Psychologie & Gehirn (PuG 2023), Tübingen, Germany, June 08, 2023 - June 10, 2023. (2023)

Eschenko, O.: The role of noradrenergic transmission for saliency signaling and perception. In CIN-NIPS-Asia Pacific Systems Neuroscience Symposium 2023. CIN-NIPS-Asia Pacific Systems Neuroscience Symposium 2023, Tübingen, Germany, March 10, 2023 - March 11, 2023. (2023)

Dayan, P.: Mindgames. Center for Brains Minds + Machines, Cambridge, MA, USA (2023)

Dayan, P.; Chen, K.; Gagne, C.; Lloyd, K.; Sui, X.: Risk in Sequential Decisions. 11th Bernoulli Lecture for the Behavioral Sciences: University of Basel, Basel, Switzerland (2023)

Lloyd, K.: Models of Action Selection: MDP. Computational Psychiatry Course Zurich 2023, Zürich, Switzerland (2023)

Dayan, P.: Top-down and bottom-up neuromodulation of visual decoding. Systems Vision Science: Summer School & Symposium, Tübingen, Germany (2023)

Eschenko, O.: The role of noradrenergic transmission for saliency signaling and perception. 11th CIN-NIPS-Asia Pacific Systems Neuroscience Symposium 2023, Tübingen, Germany (2023)

Hahn, A.; Brielmann, A.; Tabandeh, N.; Spitschan, M.: Eye movements, pupil size and scene perception in real-world indoor and outdoor scenes. Christmas 2023 AVA Meeting, London, UK (2023)

Bucher, S.; Dayan, P.: Algorithmic Choice Architecture for Boundedly Rational Consumers. 10th Annual Conference on Digital Experimentation (CODE@MIT 2023), Cambridge, MA, USA (2023)

Whiteway, M.; Biderman, D.; Hurwitz, C.; Greenspan, N.; Lee, R.; Vishnubhotla, A.; Schartner, M.; Huntenburg, J.; Khanal, A.; Meijer, G. et al.; Noel, J.; Pan-Vazquez, A.; Socha, K.; Urai, A.; Laboratory, I.; Warren, R.; Noone, D.; Pedraja, F.; Cunningham, J.; Sawtell, N.; Paninski, L.: Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling, and cloud-native open source tools. 52nd Annual Meeting of the Society for Neuroscience (Neuroscience 2023), Washington, DC, USA (2023)

Bougrova, K.; Bonacchi, N.; Catarino, J.; DeWitt, E.; Meijer, G.; Tessereau, C.; mainen, Z.: Comparing Neuromodulator Activity in a Visual Decision-Making Task. Champalimaud Research Neuro Symposium 2023, Lisboa, Portugal (2023)

Burgess, H.; Barnby, J.; Dayan, P.; Richards, L.: Realizing Dynamic Cognitive Tasks with Cloud-based Computation. 1st Annual Conference of the US Research Software Engineer Association (US-RSE 2023), Chicago, IL, USA (2023)

Zamfir, E.; Dayan, P.: Interactions between causal attributions and beliefs: evidence from a novel computer game task. Champalimaud Research Neuro Symposium 2023, Lisboa, Portugal (2023)

Basgol, H.; Raab, F.; Franz, V.; Dayan, P.: How much evidence is required to detect spatiotemporal visual regularities? 24th Conference of Junior Neuroscientists (NeNa 2023), Frankfurt a.M., Germany (2023)

Buendia, V.; Levina, A.: Inferring dynamical states in complex recurrent networks. Bernstein Conference 2023, Berlin, Germany (2023)

Giannakakis, E.; Buendía, V.; Vinogradov, O.; Khajehabdollahi, S.; Levina, A.: Inhomogeneous connectivity structures in E/I networks enable the processing of multiple chaotic time series. Bernstein Conference 2023, Berlin, Germany (2023)

Horn, T.; Dayan, P.; Lloyd, K.: Modelling Pavlovian misbehaviour in a time interval discrimination task. 24th Conference of Junior Neuroscientists (NeNa 2023), Frankfurt a.M., Germany (2023)

Safavi, S.; Chalk, M.; Logothetis, N.; Levina, A.: Signatures of criticality in efficient coding networks. Bernstein Conference 2023, Berlin, Germany (2023)

Safavi, S.; Dayan, P.: A decision-theoretic model of perceptual multistability: perceptual switches as internal actions. Bernstein Conference 2023, Berlin, Germany (2023)

Shen, T.; Dayan, P.: Risking your Tail: Curiosity, Danger and Exploration. 24th Conference of Junior Neuroscientists (NeNa 2023), Frankfurt a.M., Germany (2023)

Solopchuk, O.; Dayan, P.: Multifaceted confidence in exploratory choice. Bernstein Conference 2023, Berlin, Germany (2023)

Vinogradov, O.; Giannakakis, E.; Buendia, V.; Uysal, B.; Weinreb, E.; Ron, S.; Lerche, H.; Moses, E.; Levina, A.: Network excitability determines collective bursting dynamics of neuronal networks in vitro. Bernstein Conference 2023, Berlin, Germany (2023)

Ciesielski, K.; Webb, A.; Spotorno, S.: Mainly the actions: Functional knowledge has a primary role in understanding real-world scenes portrayed by either fine or coarse visual information. Twenty-Third Annual Meeting of the Vision Sciences Society (VSS 2023), St. Pete Beach, FL, USA (2023)

Safavi, S.: A decision-theoretic approach to binocular rivalry. Systems Vision Science: Summer School & Symposium, Tübingen, Germany (2023)

Basgol, H.; Dayan, P.; Franz, V.: Does Pupil-Linked Arousal to Model Reset Require Attention? 65th Conference of Experimental Psychologists: TeaP 2023: Tagung experimentell arbeitender Psycholog:innen, Trier, Germany (2023)

Ershadmanesh, S.; Gholamzadeh, A.; Desender, K.; Dayan, P.: Measure of Meta-cognitive Sensitivity in Value-based Learning. 48. Jahrestagung Psychologie & Gehirn (PuG 2023), Tübingen, Germany (2023)

Ershadmanesh, S.; Rajabi, S.; Rostami, R.; Moran, R.; Dayan, P.: Noradrenergic And Dopaminergic Modulation Of Control And Metacontrol. 48. Jahrestagung Psychologie & Gehirn (PuG 2023), Tübingen, Germany (2023)

Kühnel, A.; Hoang, K.; McFadyen, J.; Dolan, R.; Dayan, P.; Hauser, T.: Highly sampled reinforcement learning revealsdistinct patterns in binge eating disorder and obesity. Computational Psychiatry Conference 2023, Dublin, Ireland (2023)

Laessing, P.; Karvelis, P.; Dayan, P.; Diaconescu, A.: Formalizing Pavlovian biases observed inaversive Go/NoGo paradigms for suicideprevention. Computational Psychiatry Conference 2023, Dublin, Ireland (2023)

Safavi, S.; Dayan, P.: A decision-theoretic model of multistability: perceptual switches as internal actions. Computational Psychiatry Conference 2023, Dublin, Ireland (2023)

Schulz, L.; Schulz, E.; Bhui, R.; Dayan, P.: Mechanisms of Mistrust: A Bayesian Account of Misinformation Learning. 48. Jahrestagung Psychologie & Gehirn (PuG 2023), Tübingen, Germany (2023)

Senta, J.; Collins, A.; Dayan, P.; Bishop, S.: Latent subdimensions of anxiety and depression differentially influence exertion of effort in pursuit of reward versus avoidance of threat. Computational Psychiatry Conference 2023, Dublin, Ireland (2023)

Sui, X.; Dayan, P.; Lloyd, K.: Exploring Optimal Risk-Sensitive Behavior in the Balloon Analogue Risk Task (BART). Computational Psychiatry Conference 2023, Dublin, Ireland (2023)

Schad, D.; Rapp, M.; Garbusow, M.; Kroemer, N.; Chen, H.; Nebe, S.; Sommer, C.; Sebold, M.; Zimmermann, U.; Smolka, M. et al.; Schlagenhauf, F.; Heinz, A.; Dayan, P.; Huys, Q.: Sign- And Goal-Tracking in Human Alcohol Dependence. 78th Annual Scientific Meeting of the Society of Biological Psychiatry (SOBP 2023), San Diego, CA, USA (2023)

Burgess, H.; Barnby, J.; Dayan, P.; Richards, L.: Realizing Dynamic Cognitive Tasks with Cloud-based Computation. 30th Anniversary Meeting of the Cognitive Neuroscience Society (CNS 2023), San Francisco, CA, USA (2023)

Éltetö, N.; Veit, L.; Koparkar, A.; Dayan, P.: Variable syllable context depth in Bengalese finch songs: A Bayesian sequence model. Computational and Systems Neuroscience Meeting (COSYNE 2023), Montreal, Quebec, Canada (2023)

Hubert, F.; Findling, C.; Gerçek, B.; Benson, B.; Whiteway, M.; Krasniak, C.; Zador, A.; The International Brain Lab; Dayan, P.; Pouget, A.: Brain wide distribution of prior belief constrains neural models of probabilistic inference. Computational and Systems Neuroscience Meeting (COSYNE 2023), Montreal, Quebec, Canada (2023)

Renz, F.; Grossman, S.; Dayan, P.; Doeller, C.; Schuck, N.: Representation learning facilitates different levels of generalization. 10th MindBrainBody Symposium 2023 (MBB 2023), Berlin, Germany (2023)

Vasilichi, A.; Nikolova, N.; Legrand, N.; Dayan, P.; Allen, M.: Affective expectations are modulated by the interplay between visceral signals and uncertainty of the sensory environment. 10th MindBrainBody Symposium 2023 (MBB 2023), Berlin, Germany (2023)

Bruijns, S.; International Brain Laboratory; Bougrova, K.; Laranjeira, I.; Lau, P.; Meijer, G.; Miska, N.; Noel, J.-P.; Pan-Vazquez, A.; Roth, N. et al.; Socha, K.; Urai, A.; Dayan, P.: Dissecting the Complexities of Learning With Infinite Hidden Markov Models. (submitted)

Findling, C.; Hubert, F.; International Brain Lab; Acerbi, L.; Benson, B.; Benson, J.; Birman, D.; Bonacchi, N.; Bruijns, S.; Carandini, M. et al.; Catarino, J.; Chapuis, G.; Churchland, A.; Dan, Y.; Davatolhagh, F.; DeWitt, E.; Engel, T.; Fabbri, M.; Faulkner, M.; Fiete, I.; Freitas-Silva, L.; Gercek, B.; Harris, K.; Häusser, M.; Hofer, S.; Hu, F.; Huntenburg, J.; Khanal, A.; Krasniak, C.; Langdon, C.; Latham, P.; Lau, P.; Mainen, Z.; Meijer, G.; Miska, N.; Mrsic-Flogel, T.; Noel, J.-P.; Nylund, K.; Pan-Vazquez, A.; Paninski, L.; Pillow, J.; Rossant, C.; Roth, N.; Schaeffer, R.; Schartner, M.; Shi, Y.; Socha, K.; Steinmetz, N.; Svoboda, K.; Tessereau, C.; Urai, A.; Wells, M.; West, S.; Whiteway, M.; Winter, O.; Witten, I.; Zador, A.; Zhang, Y.; Dayan, P.; Pouget, A.: Brain-wide representations of prior information in mouse decision-making. (submitted)

Barnby, J.; Bellucci, G.; Alon, N.; Schilbach, L.; Bell, V.; Frith, C.; Dayan, P.: Beyond Theory of Mind: A formal framework for social inference and representation. (submitted)

Kabanova, A.; Yang, M.; Logothetis, N.; Eschenko, O.: Preserved auditory salience processing after chemogenetic inhibition of the locus coeruleus noradrenergic neurons in wild-type rats. (submitted)

Schulz, L.; Schulz, E.; Bhui, R.; Dayan, P.: Mechanisms of Mistrust: A Bayesian Account of Misinformation Learning. (submitted)

Hossein, M.; Ershadmanesh, S.; Vahabie, A.-H.; Ahmadabadi, M.: The effects of directed and free self-monitoring on goal-directed and habitual decision-making. (submitted)