Publications Dept. Computational Neuroscience | Max Planck Institute for Biological Cybernetics Tübingen

Max Planck Institute for Biological Cybernetics Tübingen

Poster (106)

298.

Poster

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)

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299.

Poster

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

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300.

Poster

Ershadmanesh, S.; Rajabi, S.; Rostami, R.; Moran, R.; Dayan, P.: Noradrenergic and Dopaminergic modulation of control and metacontrol. 32nd Annual Computational Neuroscience Meeting (CNS*2023), Leipzig, Germany (2023)

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301.

Poster

Safavi, S.; Chalk, M.; Logothetis, N.; Levina, A.: A decision-theoretic approach to binocular rivalry. 32nd Annual Computational Neuroscience Meeting (CNS*2023), Leipzig, Germany (2023)

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302.

Poster

Safavi, S.; Dayan, P.: A decision-theoretic approach to binocular rivalry. 32nd Annual Computational Neuroscience Meeting (CNS*2023), Leipzig, Germany (2023)

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303.

Poster

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)

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304.

Poster

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)

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305.

Poster

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)

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306.

Poster

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)

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307.

Poster

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)

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308.

Poster

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

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309.

Poster

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)

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310.

Poster

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)

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311.

Poster

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)

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312.

Poster

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)

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313.

Poster

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)

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314.

Poster

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)

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315.

Poster

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)

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316.

Poster

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)

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317.

Poster

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)

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318.

Poster

Basgol, H.; Dayan, P.; Franz, V.: Is pupil-linked arousal a marker of model violation but not model update? 44th European Conference on Visual Perception (ECVP 2022), 44th European Conference on Visual Perception (ECVP 2022) (2022)

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319.

Poster

Barnby, J.; Burgess, H.; Dean, R.; MacKenzie, L.; Robinson, G.; Dayan, P.; Richards, L.: Bridging the divide: elucidating the social and cognitive impact of Corpus Callosum Dysgenesis. 51st Annual Meeting of the Society for Neuroscience (Neuroscience 2022), San Diego, Ca, USA (2022)

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320.

Poster

Basgol, H.; Dayan, P.; Franz, V.: Pupil-Linked Arousal is Sensitive to Model Reset but not Model Update. 63rd Annual Meeting of the Psychonomic Society (PS 2022), Boston, MA, USA (2022)

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321.

Poster

Benson, L.; Findling, C.; Hubert, F.; Whiteway , M.; Gercek, B.; Arlandis, J.; Benson, J.; Birman, D.; Catarino, J.; Dewitt, E. et al.; Hu, F.; Khanal, A.; Krasniak, C.; Langdon, C.; Lau, P.; Meijer, G.; Miska, N.; Noel, J.-P.; Nylund, K.; Pan Vazquez, A.; Roth, N.; Shi, Y.; Socha, K.; Urai, A.; Ibl Staff, T.; Dayan, P.; Pouget, A.; International Brain Laboratory: International Brain Laboratory brainwide analysis: decoding of task and behavioral variables from populations of neurons. 51st Annual Meeting of the Society for Neuroscience (Neuroscience 2022), San Diego, Ca, USA (2022)

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322.

Poster

Bougrova, K.; Bonacchi, N.; Catarino, J.; Dewitt, E.; Meijer, G.; Dayan, P.; Mainen, Z.; International Brain Laboratotory: Comparison of neuromodulator signaling in a visual decision-making task. 51st Annual Meeting of the Society for Neuroscience (Neuroscience 2022), San Diego, CA, USA (2022)

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323.

Poster

Gercek, B.; Alandis, J.; Benson, L.; Bonacchi, N.; Catarino, J.; Chapuis, G.; Fabbri, M.; Faulkner, M.; Hu, F.; Huntenburg, J. et al.; Khanal, A.; Krasniak, C.; Langdon, C.; Lau, P.; Meijer, G.; Miska, N.; Noel, J.-P.; Pan Vazquez, A.; Rossant, C.; Roth, N.; Shi, Y.; Socha, K.; Pillow, J.; Dayan, P.; Pouget, A.; International Brain Laboratory: Encoding models reveal brain-wide signaling of motor activity and reward delivery. 51st Annual Meeting of the Society for Neuroscience (Neuroscience 2022), San Diego, Ca, USA (2022)

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324.

Poster

Hubert, F.; Findling, C.; Gercek, B.; Benson, B.; Whiteway, M.; Krasniak, C.; Dayan, P.; Pouget, A.; Arlandis, J.; Bonacchi, N. et al.; Catarino, J.; Dewitt, E.; Fabbri, M.; Hu, F.; Khanal, A.; Langdon, C.; Lau, P.; Meijer, G.; Miska, N.; Noel, J.-P.; Pan-Vasquez, A.; Rossant, C.; Roth, N.; Shi, Y.; Socha, K.; Urai, A.; Wells, M.; Winter, O.; International Brain Laboratory: Distributed neural representations of prior information in mouse decision-making. 51st Annual Meeting of the Society for Neuroscience (Neuroscience 2022), San Diego, Ca, USA (2022)

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325.

Poster

Satti, M.; Cichy, R.; Schuck, M.; Dayan, P.; Bruckner, R.: Effects of Threat Imminence on Learning Under Uncertainty. 51st Annual Meeting of the Society for Neuroscience (Neuroscience 2022), San Diego, CA, USA (2022)

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326.

Poster

Shi, Y.; Roth, N.; Steinmatz, N.; Engel, T.; Benson, B.; Birman, D.; Bonacchi, N.; Dewitt, E.; Gercek, B.; Langdon, C. et al.; Hubert, F.; Arlandis, J.; Nylund, K.; Socha, K.; Miska, N.; Schartner, M.; Whiteway, M.; Winter, O.; Faulkner, M.; Huntenburg, J.; Rossant, C.; Fabbri, M.; Chapuis, G.; Dayan, P.; Fiete, I.; Ganguli, S.; Harris, K.; Pouget, A.; Witten, I.; International Brain Laboratory: Single-cell correlates of sensory, cognitive, and motor variables across the brain. 51st Annual Meeting of the Society for Neuroscience (Neuroscience 2022), San Diego, Ca, USA (2022)

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327.

Poster

Bellucci, G.; Dayan, P.: Computational mechanisms underlying learning and recalling of trustworthy partners. Annual Meeting of the Society for NeuroEconomics (SNE 2022), Arlington, VA, USA (2022)

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328.

Poster

Bruijns, S.; The International Brain Laboratory; Dayan, P.: Fear and anxiety influences on probabilistic learning: A pilot online study and computational modeling. 23rd Conference of Junior Neuroscientists (NeNa 2022), Bad Urach, Germany (2022)

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329.

Poster

Bucher, S.; Dayan, P.: Dopamine-Revealed Preference and Beliefs over Resolving Uncertainty. Annual Meeting of the Society for NeuroEconomics (SNE 2022), Arlington, VA, USA (2022)

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330.

Poster

Bucher, S.; Yan, Z.-Y.; Glimcher, P.; Dayan, P.: Neurally Revealed Preference and Beliefs over Resolving Uncertainty. Annual Meeting of the Society for NeuroEconomics (SNE 2023), Vancouver, BC, Canada (2022)

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331.

Poster

Éltetö, N.; Németh, D.; Janacsek, K.; Dayan, P.: Tracking human skill learning with a hierarchical Bayesian sequence model. 23rd Conference of Junior Neuroscientists (NeNa 2022), Bad Urach, Germany (2022)

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332.

Poster

Granwald, T.; Dayan, P.; Lengyel, M.; Masip, M.: Quantifying a task-invariant Bayesian prior for active avoidance: A pilot study. Annual Meeting of the Society for NeuroEconomics (SNE 2023), Vancouver, BC, Canada (2022)

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333.

Poster

Kurtz-David, V.; Alladi, V.; Bucher, S.; Louie, K.; Brandenburger, A.; Dewan, A.; Glimcher, P.; Tymula, A.: Choosing Well: Testing the Efficiency of Neural Value Coding. Annual Meeting of the Society for NeuroEconomics (SNE 2022), Arlington, VA, USA (2022)

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334.

Poster

Corral López, R.; Buendía, V.; Ángel Muñoz, M.: The excitatory-inhibitory branching process: a parsimonious view of cortical asynchronous states, excitability, and criticality. Bernstein Conference 2022, Berlin, Germany (2022)

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335.

Poster

Giannakakis, E.; Khajehabdollahi, S.; Buendia, V.; Levina, A.: The topology of E/I recurrent networks regulates their ability to learn the dynamics of chaotic attractors. Bernstein Conference 2022, Berlin, Germany (2022)

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336.

Poster

Khajehabdollahi, S.; Giannakakis, E.; Martius, G.; Levina, A.: Cellular automata for efficient large-scale simulations of spiking networks. Bernstein Conference 2022, Berlin, Germany (2022)

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337.

Poster

Safavi, S.; Dayan, P.: Toward a decision-theoretic model of perceptual multistability. Bernstein Conference 2022, Berlin, Germany (2022)

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338.

Poster

Spitzner, F.; Yamamoto, H.; Takemuro, T.; Buendía, V.; Morante, C.; Konno, T.; Sato, S.; Hirano-Iwata, A.; Priesemann, V.; Muñoz, M. et al.; Zierenberg, J.; Soriano, J.: Modular architecture facilitates noise-driven control of synchrony in neuronal networks. Fifth Third Infinity Conference 2022: Biennial International Conference on the Physics of Biological and Complex Systems , Göttingen, Germany (2022)

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339.

Poster

Vinogradov, O.; Ron, S.; Weinreb, E.; Buendia, V.; Moses, E.; Levina, A.: Dynamical regimes of network bursting in vitro. Bernstein Conference 2022, Berlin, Germany (2022)

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340.

Poster

Yamamoto, H.; Spitzner, F.; Takemuro, T.; Buendía, V.; Morante, C.; Konno, T.; Sato, S.; Hirano-Iwata, A.; Priesemann, V.; Muñoz, M. et al.; Zierenberg, J.; Soriano, J.: Modular architecture facilitates noise-driven control of synchrony in neuronal networks. Bernstein Conference 2022, Berlin, Germany (2022)

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341.

Poster

Nath, S.; Brändle, F.; Schulz, E.; Dayan, P.; Brielmann, A.: Spatial complexity and intricacy predict subjective complexity. The Visual Science of Art Conference (VSAC 2022), Amsterdam, The Netherlands (2022)

MPG.PuRe

342.

Poster

Kuehnel, A.; Lucas, J.; Neuser, M.; Teckentrup, V.; Kraeutlein, F.; Mueller, F.; Dayan, P.; Svaldi, J.; Kroemer, N.: Differential neurobehavioral signatures of reward learning in obesity and binge eating disorder. 29th Annual Meeting of the Society for the Study of Ingestive Behavior (SSIB 2022), Porto, Portugal (2022)

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343.

Poster

Xuan, F.; Tessereau, C.; Ashby, M.; Clopath, C.; Jones, M.; Mainen, Z.; Pickering, T.; Walton, M.; Mellor, J.; Dayan, P. et al.; Dombeck, D.: Where did my Cheese Move? Behavioural and Hippocampal Traces of Uncertainties Induced by Changes in Reward Distributions. FENS Forum 2022, Paris, France (2022)

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344.

Poster

Antonov, G.; Dayan, P.: Sweeping Improvements to Exploration. 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), Providence, RI, USA (2022)

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345.

Poster

Bányai, M.; Dayan, P.: On the forking paths of exactitude. 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), Providence, RI, USA (2022)

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346.

Poster

Guitart-Masip, M.; Walsh, A.; Dayan, P.; Olsson, A.: Anxiety Associated with Perceived Lack of Control Over Stress During the COVID-19 Pandemic Impairs Reward Learning. 2022 Annual Scientific Convention and Meeting of the Society of Biological Psychiatry (SOBP 2022), New Orleans, LA, USA (2022)

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347.

Poster

Schwartenbeck, P.; Éltetö, N.; Braun, A.; Bányai, M.; Dayan, P.: Hierarchically structured representations facilitate visual understanding. 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), Providence, RI, USA (2022)

MPG.PuRe

348.

Poster

Walsh, A.; Dayan, P.; Olsson, A.; Guitart-Masip, M.: The Cognitive and Neural Impact of Uncontrollable Stress on Reward-Learning. 2022 Annual Scientific Convention and Meeting of the Society of Biological Psychiatry (SOBP 2022), New Orleans, LA, USA (2022)

MPG.PuRe

349.

Poster

Chebolu, S.; Dayan, P.; Lloyd, K.: Fast ACh signals and the optimal control of attention in a detection task. Computational and Systems Neuroscience Meeting (COSYNE 2022), Lisboa, Portugal (2022)

MPG.PuRe

350.

Poster

Elteto, N.; Nemeth, D.; Janacsek, K.; Dayan, P.: Tracking human skill learning with a hierarchical Bayesian sequence model. Computational and Systems Neuroscience Meeting (COSYNE 2022), Lisboa, Portugal (2022)

MPG.PuRe

351.

Poster

Tano, P.; Dayan, P.; Pouget, A.: Automatic Task Decomposition using Compositional Reinforcement Learning. Computational and Systems Neuroscience Meeting (COSYNE 2022), Lisboa, Portugal (2022)

MPG.PuRe

352.

Poster

Basgol, H.; Dayan, P.; Franz, V.: Investigating pupil-linked arousal to complex and statistically uncertain auditory patterns. 64th Conference of Experimental Psychologists (TeaP 2022): Tagung experimentell arbeitender Psycholog:innen, Köln, Germany (2022)

MPG.PuRe

353.

Poster

Pombo, M.; Brielmann, A.; Pelli, D.: How sequential dependencies affect the intraindividual variability of beauty judgment. 43rd European Conference on Visual Perception (ECVP 2021) (2021)

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354.

Poster

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)

MPG.PuRe

355.

Poster

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)

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356.

Poster

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)

MPG.PuRe

357.

Poster

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)

MPG.PuRe

358.

Poster

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)

MPG.PuRe

359.

Poster

Elteto, N.; Nemeth, D.; Janacsek, K.; Dayan, P.: Tracking the Unknown: Modeling Long-Term Implicit Skill Acquisition as Non-Parametric Bayesian Sequence Learning. 43rd Annual Conference of the Cognitive Science Society (CogSci 2021), Wien, Austria (2021)

MPG.PuRe

360.

Poster

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)

MPG.PuRe

361.

Poster

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)

MPG.PuRe

362.

Poster

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)

MPG.PuRe

363.

Poster

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)

MPG.PuRe

364.

Poster

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

MPG.PuRe

365.

Poster

Wu, S.; Elteto, N.; Dasgupta, I.; Schulz, E.: Chunking as a rational solution to the speed-accuracy trade-off in a serial reaction time task. 43rd Annual Conference of the Cognitive Science Society (CogSci 2021), Wien, Austria (2021)

MPG.PuRe

366.

Poster

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

MPG.PuRe

367.

Poster

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

MPG.PuRe

368.

Poster

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

MPG.PuRe

369.

Poster

Pombo, M.; Brielmann, A.; Pelli, D.: Discounting the effect of memory on repeated measures of beauty judgment. Twenty-First Annual Meeting of the Vision Sciences Society (V-VSS 2021) (2021)

MPG.PuRe

370.

Poster

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

MPG.PuRe

371.

Poster

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

MPG.PuRe

372.

Poster

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

MPG.PuRe

373.

Poster

Fardet, T.; Levina, A.: Better weighted clustering coefficient: now continuous. Ninth International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2020) , Madrid, Spain (2020)

MPG.PuRe

374.

Poster

Lekscha Sedlinská, T.; Brückner, L.; Hübner, M.; Rentsch, C.; Falke, D.; Mühle, C.; Suc, J.; Weinland, C.; Kornhuber, J.; Lenz, B. et al.; Dayan, P.: Temporal discounting and male depression. Kongress der Deutschen Gesellschaft für Psychiatrie und Psychotherapie, Psychosomatik und Nervenheilkunde e. V. (DGPPN 2020), Berlin, Germany (2020)

MPG.PuRe

375.

Poster

Bröker, F.; Love, B.; Dayan, P.: The varied effect of unsupervised information on human category learning. Bernstein Conference 2020 (2020)

MPG.PuRe

376.

Poster

Gagne, C.; Dayan, P.: Avoidant behavior and pathological worry as optimal policies and optimal offline planning given individually exaggerated risk preferences. Bernstein Conference 2020 (2020)

MPG.PuRe

377.

Poster

Lekscha Sedlinska, T.; Brückner, L.; Hübner, M.; Rentsch, C.; Falke, D.; Mühle, C.; Suc, J.; Weinland, C.; Kornhuber, J.; Lenz, B. et al.; Dayan, P.: Temporal discounting in major depression. Bernstein Conference 2020 (2020)

MPG.PuRe

378.

Poster

Bröker, F.; Love, B.; Dayan, P.: Semi-Supervised Categorisation: Input Representations Determine Necessity of Feedback. 20th Conference of Junior Neuroscientists (NeNa 2019) , Schramberg, Germany (2019)

MPG.PuRe

379.

Poster

Bruijns, S.; Dayan, P.: Anticipating Every Turn: Learning About Learning in Mice. 20th Conference of Junior Neuroscientists (NeNa 2019) , Schramberg, Germany (2019)

MPG.PuRe

380.

Poster

Ahilan, S.; Dayan, P.: Feudal Multi-Agent Hierarchies for Cooperative Reinforcement Learning. 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2019), Montreal, Canada (2019)

MPG.PuRe

381.

Poster

Zhao, S.; Dick, F.; Dayan, P.; Furukawa, S.; Liao, H.; chait, M.: Phasic norepinephrine is a neural interrupt signal for unexpected events in rapidly unfolding sensory sequences: evidence from pupillometry. International Conference on Interdisciplenary Advances in Statistical Learning 2019, San Sebastián, Spain (2019)

MPG.PuRe

382.

Poster

Zhao, S.; Dick, F.; Dayan, P.; Furukawa, S.; Liao, H.; Chait, M.: Phasic norepinephrine is a neural interrupt signal for unexpected events in rapidly unfolding sensory sequences: evidence from pupillometry. Interdisciplinary Advances in Statistical Learning 2019, San Sebastián, Spain (2019)

MPG.PuRe

383.

Poster

Stojic, H.; Orquin, J.; Dayan, P.; Dolan, R.; Speekenbrink, M.: Rewards and uncertainty jointly drive the attention dynamics in reinforcement learning. Ninth International Symposium on Biology of Decision Making (SBDM 2019) , Oxford, UK (2019)

MPG.PuRe

384.

Poster

Zamfir, E.; Dayan, P.: The dynamical interaction between attribution and belief: Evidence from a novel task. Ninth International Symposium on Biology of Decision Making (SBDM 2019), Oxford, UK (2019)

MPG.PuRe

385.

Poster

Zhao, S.; Dick, F.; Dayan, P.; Furukawa, S.; Liao, H.-I.; Chait, M.: Phasic norepinephrine is a neural interrupt signal for unexpected events in rapidly unfolding sensory sequences: evidence from pupillometry. Ninth International Symposium on Biology of Decision Making (SBDM 2019), Oxford, UK (2019)

MPG.PuRe

Thesis - PhD (1)

386.

Thesis - PhD

Broeker, F.: Semi-supervised categorisation: the role of feedback in human learning. Dissertation, 191 pp., Gatsby Computational Neuroscience Unit, University College London, London, UK (2022)

MPG.PuRe

Thesis - Master (2)

387.

Thesis - Master

Nath, S.: Fun Meets Aesthetics: Modelling Human Curiosity and Creativity. Master (2022)

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388.

Thesis - Master

Athanasiadis, A.: Stochastic Bifurcations in Neuroscience. Master (2022)

MPG.PuRe

Working Paper (1)

389.

Working Paper

International Brain Laboratory; Banga, K.; Boussard, J.; Chapuis, G.; Faulkner, M.; Harris, K.; Huntenburg, J.; Hurwitz, C.; Lee, H.; Paninski, L. et al.; Rossant, C.; Roth, N.; Steinmetz, N.; Windolf, C.; Winter, O.: Spike sorting pipeline for the International Brain Laboratory. (2022), 17 pp.

MPG.PuRe

Preprint (33)

390.

Preprint

Moenke, G.; Schaefer, T.; Parto-Dezfouli, M.; Kajal, D.; Fuertinger, S.; Schmiedt, J.; Fries, P.: Systems Neuroscience Computing in Python (SyNCoPy): A Python Package for Large-scale Analysis of Electrophysiological Data. (submitted)

MPG.PuRe

391.

Preprint

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

MPG.PuRe

392.

Preprint

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. (submitted)

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393.

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Kastner, D.; Williams, G.; Holobetz, C.; Romano, J.; Dayan, P.: The choice-wide behavioral association study: data-driven identification of interpretable behavioral components. (submitted)

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394.

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Alon, N.; Schulz, L.; Bell, V.; Moutoussis, M.; Dayan, P.; Barnby, J.: Overly deep hierarchical mentalizing produces paranoia: a new formal theory. (submitted)

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395.

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Rachum, R.; Nakar, Y.; Tomlinson, B.; Alon, N.; Mirsky, R.: Emergent Dominance Hierarchies in Reinforcement Learning Agents. (submitted)

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396.

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Shen, T.; Dayan, P.: Risking your Tail: Modeling Individual Differences in Risk-sensitive Exploration using Conditional Value at Risk and Bayes Adaptive Markov Decision Processes. (submitted)

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