Publikationen:
Abteilung für Computational Neuroscience

Zeitschriftenartikel (118)

1.
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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)
2.
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Blomqvist, A.; Evrard, H.; Dostrovsky, J.; Strigo, I.; Jänig, W.: A. D. (Bud) Craig, Jr. (1951–2023). Nature Neuroscience 26 (11), S. 1835 - 1836 (2023)
3.
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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 Epub ahead (2023)
4.
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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)
5.
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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)
6.
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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)
7.
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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)
8.
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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)
9.
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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)
10.
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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)
11.
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Dayan, P.: Metacognitive Information Theory. Open mind: discoveries in cognitive science 7, S. 392 - 411 (2023)
12.
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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)
13.
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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)
14.
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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)
15.
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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)
16.
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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)
17.
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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)
18.
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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)
19.
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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)
20.
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Zeraati, R.; Shi, Y.-L.; Steinmetz, N.; Gieselmann, M.; Thiele, A.; Moore, T.; Levina, A.; Engel, T.: Intrinsic timescales in the visual cortex change with selective attention and reflect spatial connectivity. Nature Communications 14 (1), 1858 (2023)
21.
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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)
22.
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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)
23.
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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)
24.
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Hartig, R.; Karimi, A.; Evrard, H.: Interconnected sub-networks of the macaque monkey gustatory connectome. Frontiers in Neuroscience 16, 818800 (2023)
25.
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Hartig, R.; Klink, P.; Polyakova, Z.; Dehaquani, M.-R.; Bondar, I.; Merchant, H.; Vanduffel, W.; Roe, A.; Nambu, A.; Thirumala, M. et al.; Shmuel, A.; Kapoor, V.; Gothard, K.; Evrard, H.; Basso, M.; Petkov, C.; Mitchell, A.: A framework and resource for global collaboration in non-human primate neuroscience. Current Research in Neurobiology 4, 1000079 (2023)
26.
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Kurth-Nelson, Z.; Behrens, T.; Wayne, G.; Miller, K.; Luettgau, L.; Dolan, R.; Liu, Y.; Schwartenbeck, P.: Replay and compositional computation. Neuron 111 (4), S. 454 - 469 (2023)
27.
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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)
28.
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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), S. 107 - 115 (2023)
29.
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Shi, Y.-L.; Zeraati, R.; Levina, A.; Engel, T.: Spatial and temporal correlations in neural networks with structured connectivity. Physical Review Research 5, 013005 (2023)
30.
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Archer, K.; Catenacci Volpi, N.; Bröker, F.; Polani, D.: A space of goals: the cognitive geometry of informationally bounded agents. Royal Society Open Science 9 (12), 211800 (2022)
31.
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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 52 (16), S. 3948 - 3956 (2022)
32.
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Janet, R.; Ligneul, R.; Losecaat-Vermeer, A.; Philippe, R.; Bellucci, G.; Derrington, E.; Park, S.; Dreher, J.-C.: Regulation of social hierarchy learning by serotonin transporter availability. Neuropsychopharmacology 47 (13), S. 2205 - 2212 (2022)
33.
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Levina, A.; Priesemann, V.; Zierenberg, J.: Tackling the subsampling problem to infer collective properties from limited data. Nature Reviews Physics 4 (12), S. 770 - 784 (2022)
34.
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Montala-Flaquer, M.; Lopez-Leon, C.; Tornero, D.; Houben, A.; Fardet, T.; Monceau , P.; Bottani, S.; Soriano, J.: Rich dynamics and functional organization on topographically designed neuronal networks in vitro. iScience 25 (12), 105680 (2022)
35.
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Spitschan, M.: Reproducibility in sleep and circadian science systematic reviews and meta-analyses. Sleep Medicine Reviews 66, 101717 (2022)
36.
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Brielmann, A.; Dayan, P.: A computational model of aesthetic value. Psychological Review 129 (6), S. 1319 - 1337 (2022)
37.
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Corral López, R.; Buendia, V.; Muñoz, M.: The excitatory-inhibitory branching process: a parsimonious view of cortical asynchronous states, excitability, and criticality. Physical Review Research 4, L042027 (2022)
38.
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Éltetö, N.; Nemeth, D.; Janacsek, K.; Dayan, P.: Tracking human skill learning with a hierarchical Bayesian sequence model. PLoS Computational Biology 18 (11), e1009866 (2022)
39.
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Khajehabdollahi, S.; Prosi, J.; Giannakakis, E.; Martius, G.; Levina, A.: When to Be Critical? Performance and Evolvability in Different Regimes of Neural Ising Agents. Artificial Life 28 (4), S. 458 - 478 (2022)
40.
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Bucher, S.; Brandenburger, A.: Divisive normalization is an efficient code for multivariate Pareto-distributed environments. Proceedings of the National Academy of Sciences of the United States of America 119 (40), e2120581119 (2022)
41.
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Chebolu, S.; Dayan, P.; Lloyd, K.: Vigilance, arousal, and acetylcholine: Optimal control of attention in a simple detection task. PLoS Computational Biology 18 (10), e1010642 (2022)
42.
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Safavi, S.; Dayan, P.: Multistability, perceptual value, and internal foraging. Neuron 110 (19), S. 3076 - 3090 (2022)
43.
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Roelofs, K.; Dayan, P.: Freezing revisited: coordinated autonomic and central optimization of threat coping. Nature Reviews Neuroscience 23 (9), S. 568 - 580 (2022)
44.
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Zamfir, E.; Dayan, P.: Interactions between attributions and beliefs at trial-by-trial level: Evidence from a novel computer game task. PLoS Computational Biology 18 (9), e1009920 (2022)
45.
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Barnby, J.; Dean, R.; Burgess, H.; Kim, J.; Teunisse, A.; Mackenzie, L.; Robinson, G.; Dayan, P.; Richards, L.: Increased persuadability and credulity in people with corpus callosum dysgenesis. Cortex 155, S. 251 - 263 (2022)
46.
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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)
47.
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Castro-Rodrigues, P.; Akam, T.; Snorasson, I.; Camacho, M.; Paixão, V.; Maia, A.; Barahona-Corrêa, J.; Dayan, P.; Simpson, H.; Costa, R. et al.; Oliveira-Maia, A.: Explicit knowledge of task structure is a primary determinant of human model-based action. Nature Human Behaviour 6 (8), S. 1126 - 1141 (2022)
48.
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Dubey, R.; Griffiths, T.; Dayan, P.: The pursuit of happiness: A reinforcement learning perspective on habituation and comparisons. PLoS Computational Biology 18 (8), e1010316 (2022)
49.
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Gagne, C.; Agai, S.; Ramiro, C.; Dayan, P.; Bishop, S.: Biased belief priors versus biased belief updating: Differential correlates of depression and anxiety. PLoS Computational Biology 18 (8), e1010176 (2022)
50.
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Lubianiker, N.; Paret, C.; Dayan, P.; Hendler, T.: Neurofeedback through the lens of reinforcement learning. Trends in Neurosciences 45 (8), S. 579 - 593 (2022)
51.
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Bellucci, G.; Wang, C.; Sai, L.; Krueger, F.: Reply to Zhen and Yu: Cognitive control as questionable proxy for deliberation in honest behaviors. Proceedings of the National Academy of Sciences of the United States of America 119 (27), e2203613119 (2022)
52.
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Buendía, V.; Villegas, P.; Burioni, R.; Muñoz, M.: The broad edge of synchronization: Griffiths effects and collective phenomena in brain networks. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 380 (2227), 20200424 (2022)
53.
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Bellucci, G.; Münte, T.; Park, S.: Influences of social uncertainty and serotonin on gambling decisions. Scientific Reports 12 (1), 10220 (2022)
54.
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Bellucci, G.: A Model of Trust. Games 13 (3), 39 (2022)
55.
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Bröker, F.; Love, B.; Dayan, P.: When unsupervised training benefits category learning. Cognition 221, 104984 (2022)
56.
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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)
57.
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Zeraati, R.; Engel, T.; Levina, A.: A flexible Bayesian framework for unbiased estimation of timescales. Nature Computational Science 2 (3), S. 193 - 204 (2022)
58.
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Gagne, C.; Dayan, P.: Peril, Prudence and Planning as Risk, Avoidance and Worry. Journal of Mathematical Psychology 106 (2022)
59.
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Lawrance, E.; Gagne, C.; O'Reilly, J.; Bijsterbosch, J.; Bishop, S.: The Computational and Neural Substrates of Ambiguity Avoidance in Anxiety. Computational Psychiatry 6 (1), S. 8 - 33 (2022)
60.
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Antonov, G.; Gagne, C.; Eldar, E.; Dayan, P.: Optimism and Pessimism in Optimised Replay. PLoS Computational Biology 18 (1) (2022)
61.
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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 (2022)
62.
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Dayan, P.: “Liking” as an early and editable draft of long-run affective value. PLoS Biology 20 (1), e3001476 (2022)
63.
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Berridge, K.; Dayan, P.: Liking. Current Biology 31 (24), S. R1555 - R1557 (2021)
64.
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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)
65.
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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), S. 442 - 462 (2021)
66.
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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, S. 627 - 641 (2021)
67.
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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), S. 1222 - 1232 (2021)
68.
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Fardet, T.; Levina, A.: Weighted directed clustering: interpretations and requirements for heterogeneous, inferred, and measured networks. Physical Review Research 3, 043124, S. 1 - 16 (2021)
69.
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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), S. 2523 - 2535 (2021)
70.
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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)
71.
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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), S. 1 - 3 (2021)
72.
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Brielmann, A.; Nuzzo, A.; Pelli, D.: Beauty, the feeling. Acta Psychologica 219, S. 1 - 12 (2021)
73.
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Buendia, V.; Villegas, P.; Burioni, R.; Muñoz, M.: The broad edge of synchronisation: Griffiths effects and collective phenomena in brain networks. (eingereicht)
74.
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Hall-McMaster , S.; Dayan, P.; Schuck, N.: Control over patch encounters changes foraging behavior. iScience 24 (9), 103005 (2021)
75.
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Hall-McMaster, S.; Dayan, P.; Schuck, N.: Control over patch encounters changes foraging behaviour. iScience 24 (9), 103005 (2021)
76.
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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)
77.
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Terenzi, D.; Liu, L.; Bellucci, G.; Park, S.: Determinants and modulators of human social decisions. Neuroscience and Biobehavioral Reviews 128, S. 383 - 393 (2021)
78.
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Mancinelli, F.; Roiser, J.; Dayan, P.: Internality and the internalisation of failure: Evidence from a novel task. PLoS Computational Biology 17 (7), S. 1 - 25 (2021)
79.
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Moran, R.; Dayan, P.; Dolan, R.: Efficiency and prioritization of inference-based credit assignment. Current Biology 31 (13), S. 2747 - 2756 (2021)
80.
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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, S. 1 - 20 (2021)
81.
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Brielmann, A.; Pelli, D.: The pleasure of multiple images. Attention, Perception & Psychophysics 83 (3), S. 1179 - 1188 (2021)
82.
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Brielmann, A.; Pelli, D.: Correction to: The pleasure of multiple images. Attention, Perception & Psychophysics 83 (3), S. 1189 (2021)
83.
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Dayan, P.: When will's wont wants wanting. Behavioral and Brain Sciences 44, e35 (2021)
84.
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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, S. 1 - 9 (2021)
85.
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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), e2018459118 (2021)
86.
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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), S. 149 - 163 (2021)
87.
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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), S. 1 - 12 (2021)
88.
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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), S. 1 - 27 (2021)
89.
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Gagne, C.; Zika, O.; Dayan, P.; Bishop, S.: Impaired adaptation of learning to contingency volatility in internalizing psychopathology. eLife 9, S. 1 - 51 (2020)
90.
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Schulz, E.; Dayan, P.: Computational psychiatry for computers. iScience 23 (12), 101772 (2020)
91.
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Schulz, L.; Rollwage, M.; Dolan, R.; Fleming, S.: Dogmatism manifests in lowered information search under uncertainty. Proceedings of the National Academy of Sciences of the United States of America 117 (49), S. 31527 - 31534 (2020)
92.
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Bellucci, G.; Camilleri, J.; Eickhoff, S.; Krueger, F.: Neural signatures of prosocial behaviors. Neuroscience and Biobehavioral Reviews 118, S. 186 - 195 (2020)
93.
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Dayan, P.: Learning rules. Current Biology 30 (21), S. R1289 - R1290 (2020)
94.
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Dezfouli, A.; Nock, R.; Dayan, P.: Adversarial vulnerabilities of human decision-making. Proceedings of the National Academy of Sciences of the United States of America 117 (46), 202016921, S. 29221 - 29228 (2020)
95.
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Bellucci, G.: Positive attitudes and negative expectations in lonely individuals. Scientific Reports 10 (1), 18595, S. 1 - 9 (2020)
96.
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Neville, V.; King, J.; Gilchrist, I.; Dayan, P.; Paul, E.; Mendl, M.: Author Correction: Reward and punisher experience alter rodent decision-making in a judgement bias task. Scientific Reports 11 (1), 21387 (2020)
97.
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Kastner, D.; Gillespie, A.; Dayan, P.; Frank, L.: Memory Alone Does Not Account for the Way Rats Learn a Simple Spatial Alternation Task. The Journal of Neuroscience 40 (38), S. 7311 - 7317 (2020)
98.
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Neville, V.; King, J.; Gilchrist, I.; Dayan, P.; Paul, E.; Mendl, M.: Reward and punisher experience alter rodent decision-making in a judgement bias task. Scientific Reports 10 (1), 11839, S. 1 - 14 (2020)
99.
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Bellucci, G.; Camilleri, J.; Iyengar, V.; Eickhoff, S.; Krueger, F.: The Emerging Neuroscience of Social Punishment: Meta-Analytic Evidence. Neuroscience and Biobehavioral Reviews 113, S. 426 - 439 (2020)
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