Max-Planck-Institut für biologische Kybernetik Tübingen

_{Publikationen:}
_{Abteilung für Computational Neuroscience}

Zeitschriftenartikel (176)

1.

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Raabe, F.; Popovic, D.; Vetter, C.; Fischer, L.; Hasanaj, G.; Karsli, B.; Schäfer, T.; Almeida, V.; Atella, A.; Gagliardi, M. et al.; Boudriot, E.; Yakimov, V.; Trastulla, L.; Jiang, T.; Weyer, C.; Roell, L.; Moussiopoulou, J.; Krcmár, L.; Galinski, S.; Papazova , I.; Pogarell, O.; Hasan, A.; Schulte, E.; Schmitt, A.; Koutsouleris, N.; Levina, A.; Wagner, E.; Rossner, M.; Papiol, S.; Falkai, P.; Keeser, D.; Ziller, M.; CDP Working Group: Bridging the Scales via Personalized Cellular Modeling and Deep Phenotyping in Schizophrenia. JAMA Psychiatry 83 (5), e260576 , S. 510 - 522 (2026)

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2.

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Basgol, H.; Raab, F.; Dayan, P.; Franz, V.: Modality-general sensitivity of pupil responses to regularity violations. Cognitive, Affective and Behavioral Neuroscience Epub ahead (2026)

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3.

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Buergi, N.; Aydogan, G.; Konovalov, A.; Ruff, C.: A neural signature of adaptive mentalization. Nature Neuroscience 29 (4), S. 934 - 944 (2026)

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4.

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Safavi, S.; Rolland, D.; Sterzer, P.; Jardri, R.; Leptourgos, P.: Perceptual multistability: a multifaceted window into brain dysfunctions. Trends in Cognitive Sciences Epub ahead (2026)

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5.

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Becker, S.; Modirshanechi, A.; Gerstner, W.: Representational similarity modulates neural and behavioral signatures of novelty. Neuron Epub ahead (2026)

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6.

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Ershadmanesh, S.; Gholamzadeh, A.; Desender, K.; Dayan, P.: Metacognitive efficiency in learned value-based choice. PLOS Computational Biology 22 (3), e1014108 (2026)

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7.

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International Brain Laboratory; Bayer, H.; Chapuis, C.; DeWitt, E.; Freitas-Silva, L.; Langdon, C.; Laranjeira, I.; Lau, P.; Paninski, L.; Picard, S. et al.; Tessereau, C.; Urai, A.; Whiteway, M.; Winter, O.: 20 lessons in team science: Learning from the experience of the International Brain Laboratory. Neuron 114 (6), S. 980 - 984 (2026)

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8.

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Rajzer, M.; Wojciechowska, W.; Januszewicz , A.; Yu, Y.-L.; Wang, J.-G.; Hahad, O.; Daiber, A.; Spitschan, M.; van de Borne, P.; Jelaković, B. et al.; Jelaković, A.; An, D.-W.; Ye, X.-F.; Jakubiak, G.; Burnier, M.; Persu, A.; Weber, T.; Guzik, T.; Kreutz, R.; Muenzel, T.; Staessen, J.: The impact of environmental pollution and climate change on hypertension: a position paper by the European Society of Hypertension (ESH) Working Group on Environment in Hypertension. Cardiovascular Research Epub ahead, cvag061 (2026)

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9.

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Thomson, M.; Cavelti, M.; Mürner-Lavanchy, I.; Sele, S.; Bürgi, N.; Seiffert, N.; Moggi, F.; Wiest, R.; Koenig, J.; Kaess, M.: Grey matter volume associations with personality functioning in a clinical cohort of female youths. NeuroImage: Clinical 50, 103988 (2026)

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10.

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Granwald, T.; Triolo, F.; Lengyel, M.; Dayan, P.; Guitart-Masip, M.: Exploring the Link Between a Prior Belief for Active Avoidance and Apathy, Anhedonia, and Depression: A Network Analysis. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 11 (2), S. 221 - 228 (2026)

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11.

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Griffin, J.; Vasilichi, A.; Haarsma, J.; van Sprang, E.; NSPN Consortium; Murray, G.; Fletcher, P.: Differential impact of social and non-social cues on decision-making across at-risk mental state, early psychosis and healthy participants. Schizophrenia Bulletin Open Epub ahead, sgag005 (2026)

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12.

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Griffin, J.; Vasilichi, A.; Haarsma, J.; Von Sprang, E.; NSPN Consortium; Murray, G.; Fletcher, P.: Differential impact of social and non-social cues on decision-making across at-risk mental state, early psychosis and healthy participants. Schizophrenia Bulletin Open Epub ahead, sgag005 (2026)

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13.

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Hall-McMaster, S.; Wittkuhn, L.; Verra, L.; Hedrich, N.; Irie, K.; Dayan, P.; Gershman, S.; Schuck, N.: Entorhinal Cortex Signals Dimensions of Past Experience That Can Be Generalized in a Novel Environment. The Journal of Neuroscience 46 (7), e1492252025 (2026)

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14.

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Nath, S.; Brändle, F.; Schulz, E.; Dayan, P.; Brielmann, A.: Relating Objective Complexity, Subjective Complexity and Beauty in Binary Pixel Patterns. Psychology of Aesthetics, Creativity, and the Arts 20 (1), S. 238 - 254 (2026)

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15.

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Sands, L.; Lei, H.; Batten, S.; Hartle, H.; Lohrenz, T.; Barbosa, L.; Bang, D.; Dayan, P.; Howe, W.; Smith, B. et al.; Montague, P.: Octopamine and tyramine dynamics predict learning rate phenotypes during associative conditioning in honey bees. Science Advances 12 (7), eaea8433 (2026)

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16.

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Shani, D.; Dayan, P.: Composing egocentric and allocentric maps for flexible navigation. PLOS Computational Biology 22, e1013905 (2026)

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17.

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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.: Infinite hidden Markov models can dissect the complexities of learning. Nature Neuroscience 29 (1), S. 186 - 194 (2026)

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18.

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Mahajan, P.; Dayan, P.; Seymour, B.: Homeostasis After Injury: How Intertwined Inference and Control Underpin Post-Injury Pain and Behaviour. PLOS Computational Biology 22, e1013538 (2026)

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19.

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Poh, E.; Buitelaar, N.; Hulshof, G.; Mazé, L.; de Greef, P.; Zaverdinos, G.; Willuhn, I.: Ventromedial striatal dopamine dynamically integrates motivated action and reward proximity. eLife Epub ahead (2026)

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20.

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Fazlali, F.; Lazar, R.; Yahya, F.; Stefani, O.; Spitschan, M.; Cajochen, C.: Sex and seasonal variations in melatonin suppression, and alerting response to light. Journal of the Endocrine Society 9 (12), bvaf155 (2025)

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21.

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Razavi, S.; Moutoussis, M.; Dayan, P.; Raihani, N.; Bell, V.; Barnby, J.: Pseudo-approaches lead to pseudo-explanations: reply to Corlett et al. Trends in Cognitive Sciences 29 (12), S. 1065 - 1066 (2025)

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22.

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Shen, T.; Dayan, P.: Individual differences in tail risk sensitive exploration using Bayes-adaptive Markov decision processes. eLife 13, RP100366 (2025)

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23.

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Graham, T.; Spitzer, B.: Asymmetric learning and adaptability to changes in relational structure during transitive inference. Communications Psychology 3, 155 (2025)

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24.

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Sajid, N.; Medrano, J.: Dissociating model architectures from inference computations. Cognitive Neuroscience 16 (1-4), S. 26 - 28 (2025)

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25.

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Valton, V.; Mkrtchian, A.; Moses-Payne, M.; Gray, A.; Kieslich, K.; VanUrk, S.; Samborska, V.; Halahakoon, D.; Manohar, S.; Dayan, P. et al.; Husain, M.; Roiser, J.: A computational approach to understanding effort-based decision-making in depression. Psychological Medicine 55, e302 (2025)

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26.

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Woller, J.; Menrath, D.; Gharabaghi, A.: Generalized contrastive PCA is equivalent to generalized eigendecomposition. PLOS Computational Biology 21 (10), e1013555 (2025)

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27.

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McKay, R.; Hall, L.; Strandberg, T.; Vasilichi, A.; Gall, A.; Johansson, P.: “I once was blind”: experimental manipulation of religious attitudes via choice blindness. Religion, Brain & Behavior Epub ahead (2025)

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28.

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Modirshanechi, A.; Lin, W.-H.; Xu, H.; Herzog, M.; Gerstner, W.: Novelty as a drive of human exploration in complex stochastic environments. Proceedings of the National Academy of Sciences of the United States of America 122 (39), e2502193122 (2025)

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29.

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Schulze, C.; Aka, A.; Bartels, D.; Bucher, S.; Embrey, J.; Gureckis, T.; Häubl, G.; Ho, M.; Krajbich, I.; Moore, A. et al.; Oettingen, I.; Moore, A.; Oettingen, G.; Ongchoco, J.; Oprea, R.; Reinholtz, N.; Newell, B.: A Timeline of Cognitive Costs in Decision Making. Trends in Cognitive Sciences 29 (9), S. 827 - 839 (2025)

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30.

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Binz, M.; Akata, E.; Bethge, M.; Brändle, F.; Callaway, F.; Coda-Forno, J.; Dayan, P.; Demircan, C.; Eckstein, M.; Éltetö, N. et al.; Griffiths, T.; Haridi, S.; Jagadish, A.; Li, J.-A.; Kipnis, A.; Kumar, S.; Ludwig, T.; Mathony, M.; Mattar, M.; Modirshanechi, A.; Nath, S.; Peterson, J.; Rmus, M.; Russek, E.; Saanum, T.; Schubert, J.; Schulze Buschoff, L.; Singhi, N.; Sui, X.; Thalmann, M.; Theis, F.; Truong, V.; Udandarao, V.; Voudouris, K.; Wilson, R.; Witte, K.; Wu, S.; Wulff, D.; Xiong, H.; Schulz, E.: A foundation model to predict and capture human cognition. Nature 644 (8078), S. 1002 - 1009 (2025)

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31.

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Akata, E.; Schulz, L.; Coda-Forno, J.; Oh, S.; Bethge, M.; Schulz, E.: Playing repeated games with Large Language Models. Nature Human Behaviour 9 (7), S. 1380 - 1390 (2025)

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32.

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Barnby, J.; Nguyen, J.; Griem, J.; Wloszek, M.; Burgess, H.; Richards, L.; Kingston, J.; Cooper, G.; Montague, P.; Dayan, P. et al.; Nolte, T.; Fonagy, P.; London Personality and Mood Disorders Consortium: Self-Other Generalisation Shapes Social Interaction and Is Disrupted in Borderline Personality Disorder. eLife 14, RP104008 (2025)

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33.

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Brochard, J.; Dayan, P.; Bach, D.: Critical intelligence: computing defensive behaviour. Neuroscience and Biobehavioral Reviews 174, 106213 (2025)

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34.

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Gruaz, L.; Modirshanechi, A.; Becker, S.; Brea, J.: Merits of curiosity: a simulation study. Open mind: discoveries in cognitive science 9, S. 1037 - 1065 (2025)

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35.

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Buendía, V.: Mesoscopic Theory for Coupled Stochastic Oscillators. Physical Review Letters 134, 197201 (2025)

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36.

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Granwald, T.; Dayan, P.; Lengyel, M.; Guitart-Masip, M.: A task-invariant prior explains trial-by-trial active avoidance behaviour across gain and loss tasks. Communications Psychology 3 (1), 82 (2025)

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37.

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Harkin, E.; Grossman, C.; Cohen, J.; Béïque, J.-C.; Naud, R.: A prospective code for value in the serotonin system. Nature 641 (8064), S. 952 - 959 (2025)

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38.

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Lynn, M.; Geddes, S.; Chahrour, M.; Maillé, S.; Caya-Bissonnette, L.; Harkin, E.; Harvey-Girard, E.; Haj-Dahmane, S.; Naud, R.; Béïque, J.-C.: Nonlinear recurrent inhibition through facilitating serotonin release in the raphe. Nature Neuroscience 28 (5), S. 1024 - 1037 (2025)

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39.

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Schulz, L.; Schulz, E.; Bhui, R.; Dayan, P.: Mechanisms of Mistrust: A Bayesian Account of Misinformation Learning. PLOS Computational Biology 21 (5), e1012814 (2025)

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40.

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Antonov, G.; Dayan, P.: Exploring Replay. Nature Communications 16 (1), 1657 (2025)

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41.

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Basgol, H.; Dayan, P.; Franz, V.: Violation of Auditory Regularities is Reflected in Pupil Dynamics. Cortex 183, S. 66 - 86 (2025)

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42.

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Chernov, G.: The Alternative Factors Leading to Replication Crisis: Prediction and Evaluation. Evaluation Review 49 (1), S. 147 - 164 (2025)

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43.

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Ershadmanesh, S.; Rajabi, S.; Rostami, R.; Moran, R.; Dayan, P.: Noradrenergic and Dopaminergic modulation of meta-cognition and meta-control. PLOS Computational Biology 21 (2), e1012675 (2025)

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44.

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Solopchuk, O.; Dayan, P.: Multifaceted confidence in exploratory choice. PLOS ONE 20 (1), e0304923 (2025)

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45.

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Wu, S.; Thalmann, M.; Schulz, E.: Two types of motifs enhance human recall and generalization of long sequences. Communications Psychology 3 (1), 3 (2025)

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46.

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Kind, A.; Dayan, P.: Two sub-cultures of explanatory computational psychiatry. Molecular Psychiatry 29 (12), S. 3928 - 3931 (2024)

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47.

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Sacu, S.; Dubois, M.; Hezemans, F.; Aggensteiner, P.-M.; Monninger, M.; Brandeis, D.; Banaschewski, T.; Hauser, T.; Holz, N.: Early life adversities are associated with lower expected value signaling in the adult brain. Biological Psychiatry 96 (12), S. 948 - 958 (2024)

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48.

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Bröker, F.; Holt, L.; Roads, B.; Dayan, P.; Love, B.: Demystifying unsupervised learning: how it helps and hurts. Trends in Cognitive Sciences 28 (11), S. 974 - 986 (2024)

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49.

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Gharabaghi, A.; Cebi, I.; Leavitt, D.; Scherer, M.; Bookjans; Bookjans, P.; Brunnett, B.; Milosevic , L.; Weiss, D.: Randomized crossover trial on motor and non-motor outcome of directional deep brain stimulation in Parkinson's disease. npj Parkinson's Disease 10 (1), 204 (2024)

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50.

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Giannakakis, E.; Vinogradov, O.; Buendía, V.; Levina, A.: Structural influences on synaptic plasticity: the role of presynaptic connectivity in the emergence of E/I co-tuning. PLOS Computational Biology 20 (10), e1012510 (2024)

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51.

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Alon, N.; Schulz, L.; Bell, V.; Moutoussis, M.; Dayan, P.; Barnby, J.: (Mal)adaptive Mentalizing in the Cognitive Hierarchy, and Its Link to Paranoia. Computational Psychiatry 8 (1), S. 159 - 177 (2024)

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52.

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Ahmadabadi, S.; Haghifam, M.; Shah-Mansouri, V.; Ershadmanesh, S.: Design and evaluation of crowdsourcing platforms based on users' confidence judgments. Scientific Reports 14 (1), 18379 (2024)

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53.

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Medrano, J.; Sajid, N.: A Broken Duet: Multistable Dynamics in Dyadic Interactions. Entropy 26 (9), 731 (2024)

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54.

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Biderman, D.; Whiteway, M.; Hurwitz, C.; Greenspan, N.; Lee, R.; Vishnubhotla, A.; Warren, R.; Pedraja, F.; Noone, D.; Schartner, M. et al.; Huntenburg, J.; Khanal, A.; Meijer, G.; Noel, J.-P.; Pan-Vazquez, A.; Socha, K.; Urai, A.; The International Brain Laboratory; Cunningham, J.; Sawtell, N.; Paninski, L.: Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling, and cloud-native open-source tools. Nature Methods 21 (7), S. 1316 - 1328 (2024)

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55.

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Neville, V.; Finnegan, E.; Paul, E.; Davidson, M.; Dayan, P.; Mendl, M.: You are How You Eat: Foraging Behavior as a Potential Novel Marker of Rat Affective State. Affective Science 5 (3), S. 232 - 245 (2024)

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56.

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Zeraati, R.; Buendía, V.; Engel, T.; Levina, A.: Topology-dependent coalescence controls scaling exponents in finite networks. Physical Review Research 6 (2), 023131 (2024)

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57.

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Kang, P.; Tobler, P.; Dayan, P.: Bayesian reinforcement learning: A basic overview. Neurobiology of Learning and Memory 211, 107924 (2024)

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58.

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Batten, S.; Bang, D.; Kopell, B.; Davies, A.; Heflin, M.; Fu, X.; Perl, O.; Ziafat, K.; Hashemi , A.; Saez, I. et al.; Barbosa, L.; Twomey, T.; Lohrenz, T.; White, J.; Dayan, P.; Charney, A.; Figee, M.; Mayberg, H.; Kishida, K.; Gu, X.; Kishida, P.: Dopamine and serotonin in human substantia nigra track social context and value signals during economic exchange. Nature Human Behaviour 8 (4), S. 718 - 728 (2024)

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59.

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Master, S.; Curtis, C.; Dayan, P.: Wagers for work: Decomposing the costs of cognitive effort. PLOS Computational Biology 20 (4), e1012060 (2024)

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60.

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Neville, V.; Mendl, M.; Paul, E.; Seriès, P.; Dayan, P.: A primer on the use of computational modelling to investigate affective states, affective disorders and animal welfare in non-human animals. Cognitive, Affective and Behavioral Neuroscience 24 (2), S. 370 - 383 (2024)

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61.

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Jäger, A.-T.; Bailey, A.; Huntenburg, J.; Tardif, C.; Villringer, A.; Gauthier, C.; Nikulin, V.; Bazin, P.-L.; Steele, C.: Decreased long-range temporal correlations in the resting-state functional magnetic resonance imaging blood-oxygen-level-dependent signal reflect motor sequence learning up to 2 weeks following training. Human Brain Mapping 45 (4), e26539 (2024)

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62.

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Kalhan, S.; Schwartenbeck, P.; Hester, R.; Garrido, M.: People with a tobacco use disorder exhibit misaligned Bayesian belief updating by falsely attributing non-drug cues as worse predictors of positive outcomes compared to drug cues. Drug and Alcohol Dependence 256, 111109 (2024)

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63.

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Muller, T.; Butler, J.; Veselic, S.; Miranda, B.; Wallis, J.; Dayan, P.; Behrens, T.; Kurth-Nelson, Z.; Kennerley , S.: Distributional reinforcement learning in prefrontal cortex. Nature Neuroscience 27 (3), S. 403 - 408 (2024)

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64.

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Schulz, L.; Bhui, R.: Political reinforcement learners. Trends in Cognitive Sciences 28 (3), S. 210 - 222 (2024)

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65.

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Brielmann, A.; Berentelg, M.; Dayan, P.: Modelling individual aesthetic judgements over time. Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences 379 (1895), 20220414 (2024)

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66.

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

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67.

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

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68.

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

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69.

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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)

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70.

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

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71.

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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), S. 4885 - 4897 (2023)

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72.

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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, S. 608 - 624 (2023)

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73.

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

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74.

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

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75.

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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)

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76.

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

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77.

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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), S. 453 - 454 (2023)

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78.

Zeitschriftenartikel

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), S. 774 - 785 (2023)

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79.

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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), S. 2037 - 2079 (2023)

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80.

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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), S. 2182 - 2196 (2023)

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81.

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

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82.

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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)

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83.

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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), S. 597 - 620 (2023)

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84.

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

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85.

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

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86.

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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), S. 403 - 407 (2023)

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87.

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