Poster (125)

397.
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)
398.
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)
399.
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)
400.
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)
401.
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)
402.
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)
403.
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)
404.
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)
405.
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)
406.
Poster
Safavi, S.; Dayan, P.: Toward a decision-theoretic model of perceptual multistability. Bernstein Conference 2022, Berlin, Germany (2022)
407.
Poster
Spitzner, F.; Yamamoto, H.; Takemuro, T.; Buendía, V.; Morante, C.; Konno, T.; Sato, S.; Hirano-Iwata, A.; Priesemann, V.; Muñoz, M. et al.: 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)
408.
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)
409.
Poster
Yamamoto, H.; Spitzner, F.; Takemuro, T.; Buendía, V.; Morante, C.; Konno, T.; Sato, S.; Hirano-Iwata, A.; Priesemann, V.; Muñoz, M. et al.: Modular architecture facilitates noise-driven control of synchrony in neuronal networks. Bernstein Conference 2022, Berlin, Germany (2022)
410.
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)
411.
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)
412.
Poster
Xuan, F.; Tessereau, C.; Ashby, M.; Clopath, C.; Jones, M.; Mainen, Z.; Pickering, T.; Walton, M.; Mellor, J.; Dayan, P. et al.: Where did my Cheese Move? Behavioural and Hippocampal Traces of Uncertainties Induced by Changes in Reward Distributions. FENS Forum 2022, Paris, France (2022)
413.
Poster
Antonov, G.; Dayan, P.: Sweeping Improvements to Exploration. 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), Providence, RI, USA (2022)
414.
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)
415.
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)
416.
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)
417.
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)
418.
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)
419.
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)
420.
Poster
Tano, P.; Dayan, P.; Pouget, A.: Automatic Task Decomposition using Compositional Reinforcement Learning. Computational and Systems Neuroscience Meeting (COSYNE 2022), Lisboa, Portugal (2022)
421.
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)
422.
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)
423.
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)
424.
Poster
Bonacchi, N.; Bruijns, S.; Chapuis, G.; Churchland, A.; Faulkner, M.; Lee, H.; Meijer, G.; Paninski, L.; Roth, N.; Steinmetz, N. et al.: Reproducibility of electrophysiological measurements during decision-making. 50th Annual Meeting of the Society for Neuroscience (Neuroscience 2021) (2021)
425.
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)
426.
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)
427.
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)
428.
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)
429.
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)
430.
Poster
Gercek, B.; Meijer, G.; Benson, B.; Schaeffer, R.; Findling, C.; Banga, K.; Langdon, C.; Miska, N.; Schartner, M.; Socha, K. et al.: Neural correlates of an approximate prior in perceptual decision making. 50th Annual Meeting of the Society for Neuroscience (Neuroscience 2021) (2021)
431.
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)
432.
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)
433.
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)
434.
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)
435.
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)
436.
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)
437.
Poster
Ershadmanesh, S.; Rajabi, S.; Rostami, R.; Moran, R.; Dayan, P.: Dopaminergic modulation of metacontrol. Bernstein Conference 2021 (2021)
438.
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)
439.
Poster
Vinogradov, O.; Buendia, V.; Levina, A.: Minimal model of cultured neuronal networks population dynamics. Bernstein Conference 2021 (2021)
440.
Poster
Fardet, T.; Levina, A.; Paulun, N.: Revisiting and revising clustering in brain networks. Computational and Systems Neuroscience Meeting (COSYNE 2021) (2021)
441.
Poster
Tano, P.; Dayan, P.; Pouget, A.: A Local Temporal Difference Code for Distributional Reinforcement Learning. Computational and Systems Neuroscience Meeting (COSYNE 2021) (2021)
442.
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)
443.
Poster
Lekscha Sedlinská, T.; Brückner, L.; Hübner, M.; Rentsch, C.; Falke, D.; Mühle, C.; Suc, J.; Weinland, C.; Kornhuber, J.; Lenz, B. et al.: Temporal discounting and male depression. Kongress der Deutschen Gesellschaft für Psychiatrie und Psychotherapie, Psychosomatik und Nervenheilkunde e. V. (DGPPN 2020), Berlin, Germany (2020)
444.
Poster
Bröker, F.; Love, B.; Dayan, P.: The varied effect of unsupervised information on human category learning. Bernstein Conference 2020 (2020)
445.
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)
446.
Poster
Lekscha Sedlinska, T.; Brückner, L.; Hübner, M.; Rentsch, C.; Falke, D.; Mühle, C.; Suc, J.; Weinland, C.; Kornhuber, J.; Lenz, B. et al.: Temporal discounting in major depression. Bernstein Conference 2020 (2020)
447.
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)
448.
Poster
Bruijns, S.; Dayan, P.: Anticipating Every Turn: Learning About Learning in Mice. 20th Conference of Junior Neuroscientists (NeNa 2019) , Schramberg, Germany (2019)
449.
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)
450.
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)
451.
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)
452.
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)
453.
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)
454.
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)

Thesis - PhD (1)

455.
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)

Thesis - Master (2)

456.
Thesis - Master
Nath, S.: Fun Meets Aesthetics: Modelling Human Curiosity and Creativity. Master (2022)
457.
Thesis - Master
Athanasiadis, A.: Stochastic Bifurcations in Neuroscience. Master (2022)

Working Paper (1)

458.
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.: Spike sorting pipeline for the International Brain Laboratory. (2022), 17 pp.

Preprint (50)

459.
Preprint
Fisher, E.; Sajid, N.; Convertino, L.; Hohwy, J.: Computational Psychiatry and Its Challenges: An Optimistic Outlook. (submitted)
460.
Preprint
Satti, M.; Wille, K.; Nassar, M.; Cichy, R.; Schuck, N.; Dayan, P.; Bruckner, R.: Absence of Systematic Effects of Internalizing Psychopathology on Learning Under Uncertainty. (submitted)
461.
Preprint
Wu, S.; Alaniz, S.; Karthik, S.; Dayan, P.; Schulz, E.; Akata, Z.: Concept-Guided Interpretability via Neural Chunking. (submitted)
462.
Preprint
Teckentrup, V.; Ludwig, M.; Seibt, J.; Hartig, R.; Preissl, H.; Schuppert, M.; Avdievich, N.; Scheffler, K.; Priovoulos, N.; Ehses, M. et al.: Assessing a stimulator modification for simultaneous non-invasive auricular vagus nerve stimulation and magnetic resonance imaging. (submitted)
463.
Preprint
Valton, V.; Mkrtchian, A.; Moses-Payne, M.; Gray, A.; Kieslich, K.; VanUrk, S.; Samborska, V.; Halahakoon, D.; Manohar, S.; Dayan, P. et al.: A computational approach to understanding effort-based decision-making in depression. (submitted)
464.
Preprint
Safavi, S.; Dayan, P.: A decision-theoretic model of perceptual multistability: perceptual switches as internal actions. (submitted)
465.
Preprint
Castro, P.; Tomasev, N.; Anand, A.; Sharma, N.; Mohanta, R.; Dev, A.; Perlin, K.; Jain, S.; Levin, K.; Éltetö, N. et al.: Discovering Symbolic Cognitive Models from Human and Animal Behavior. (submitted)
466.
Preprint
Mahajan, P.; Dayan, P.; Seymour, B.: Homeostasis After Injury: How Intertwined Inference and Control Underpin Post-Injury Pain and Behaviour. (submitted)
467.
Preprint
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. (submitted)
468.
Preprint
Chebolu, S.; Dayan, P.: Weighting waiting: A decision-theoretic taxonomy of delay, pacing and procrastination. (submitted)
469.
Preprint
Miranda, B.; Butler, J.; Nishantha Malalasekera, W.; Behrens, T.; Dayan, P.; Kennerley, S.: Neural signatures of model-based and model-free reinforcement learning across prefrontal cortex and striatum. (submitted)
470.
Preprint
Modirshanechi, A.; Lin, W.-H.; Xu, H.-A.; Herzog, M.; Gerstner, W.: Even if suboptimal, novelty drives human exploration. (submitted)
471.
Preprint
Nagy, D.; Orban, G.; Wu, C.: Interplay of episodic and semantic memory arises from adaptive compression. (submitted)
472.
Preprint
Shani, D.; Dayan, P.: Composing egocentric and allocentric maps for flexible navigation. (submitted)
473.
Preprint
Tessereau, C.; Xuan, F.; Mellor, X.; Dayan, P.; Dombeck, D.: Navigating uncertainty: reward location variability induces reorganization of hippocampal spatial representations. (submitted)
474.
Preprint
International Brain Laboratory; Benson, B.; Benson, J.; Birman, D.; Bonacchi, N.; Carandini, M.; Catarino, J.; Chapuis, G.; Churchland, A.; Dan, Y. et al.: A Brain-Wide Map of Neural Activity during Complex Behaviour. (submitted)
475.
Preprint
Menrath, D.; Woller, J.; Gharabaghi, A.: Real-Time Spatiotemporal Filtering for Artifact-Free EEG during Electrical Neurostimulation. (submitted)
476.
Preprint
Rangotis, R.; Nowakowska, S.; Dayan, P.; Parker, A.; Kakaei, E.; Akande, A.; Krug, K.: Distinct decision processes for 3D and motion stimuli in both humans and monkeys revealed by computational modelling. (submitted)
477.
Preprint
Binz, M.; Akata, E.; Bethge, M.; Brändle, F.; Callaway, F.; Coda-Forno, J.; Dayan, P.; Demircan, C.; Eckstein, M.; Éltetö, N. et al.: Centaur: a foundation model of human cognition. (submitted)
478.
Preprint
Demircan, C.; Saanum, T.; Jagadish, A.; Binz, M.; Schulz, E.: Sparse Autoencoders Reveal Temporal Difference Learning in Large Language Models. (submitted)
479.
Preprint
Fazlali, F.; Lazar, R.; Yahya, F.; Stefani, O.; Spitschan, M.; Cajochen, C.: Sex and seasonal variations in melatonin suppression, and alerting response to light. (submitted)
480.
Preprint
Saanum, T.; Schulze Buschoff, L.; Dayan, P.; Schulz, E.: Next state prediction gives rise to entangled, yet compositional representations of objects. (submitted)
481.
Preprint
Wu, S.; Thalmann, M.; Dayan, P.; Akata, Z.; Schulz, E.: Building, Reusing, and Generalizing Abstract Representations from Concrete Sequences. (submitted)
482.
Preprint
Barnby, J.; Nguyen, J.; Griem, J.; Wloszek, M.; Burgess, H.; Richards, L.; Kingston, J.; Cooper, G.; London Personality and Mood Disorders Consortium; Montague, P. et al.: Self-Other Generalisation Shapes Social Interaction and Is Disrupted in Borderline Personality Disorder. (submitted)
483.
Preprint
Gruaz, L.; Modirshanechi, A.; Brea, J.: Merits of curiosity: a simulation study. (submitted)
484.
Preprint
Granwald, T.; Dayan, P.; Lengyel, M.; Guitart-Masip, M.: Bayesian Priors in Active Avoidance. (submitted)
485.
Preprint
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)
486.
Preprint
Vinogradov, O.; Giannakakis, E.; Buendía, V.; Uysal, B.; Ron, S.; Weinreb, E.; Schwarz, N.; Lerche, H.; Moses, E.; Levina, A.: Effective excitability captures network dynamics across development and phenotypes. (submitted)
487.
Preprint
Alon, N.; Schulz, L.; Barnby, J.; Rosenschein, J.; Dayan, P.: Detecting and Deterring Manipulation in a Cognitive Hierarchy. (submitted)
488.
Preprint
Woller, J.; Menrath, D.; Gharabaghi, A.: EEG denoising during transcutaneous auricular vagus nerve stimulation across simulated, phantom and human data. (submitted)
489.
Preprint
Kastner, D.; Williams, G.; Holobetz, C.; Romano, J.; Dayan, P.: The choice-wide behavioral association study: data-driven identification of interpretable behavioral components. (submitted)
490.
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)
491.
Preprint
Alon, N.; Schulz, L.; Bell, V.; Moutoussis, M.; Dayan, P.; Barnby, J.: Overly deep hierarchical mentalizing produces paranoia: a new formal theory. (submitted)
492.
Preprint
Fardet, T.; Giannakakis, E.; Paulun, K.; Levina, A.: Revising clustering and small-worldness in brain networks. (submitted)
493.
Preprint
Shen, T.; Dayan, P.: Risking your Tail: Curiosity, Danger and Exploration. (submitted)
494.
Preprint
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.: Dissecting the Complexities of Learning With Infinite Hidden Markov Models. (submitted)
495.
Preprint
Findling, C.; Hubert, F.; International Brain Lab; Acerbi, L.; Benson, B.; Benson, J.; Birman, D.; Bonacchi, N.; Bruijns, S.; Carandini, M. et al.: Brain-wide representations of prior information in mouse decision-making. (submitted)
Esc