PS-1A: Poster Session 1A |
Session Type: Poster |
Time: Saturday, September 14, 16:30 - 19:30 |
Location: H Lichthof |
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PS-1A.1: Tracking Motivational Biases and Their Suppression in Time and Space |
Johannes Algermissen; Radboud University Nijmegen, the Netherlands |
Jennifer C. Swart; Radboud University Nijmegen, the Netherlands |
Emma J. van Dijk; Radboud University Nijmegen, the Netherlands |
René Scheeringa; Radboud University Nijmegen, the Netherlands |
Roshan Cools; Radboud University Nijmegen, the Netherlands |
Hanneke E. M. den Ouden; Radboud University Nijmegen, the Netherlands |
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PS-1A.2: Confidence Drives a Neural Confirmation Bias |
Max Rollwage; Wellcome Trust Centre For Human Neuroimaging |
Tobias Hauser; Wellcome Trust Centre For Human Neuroimaging |
Alisa Loosen; Wellcome Trust Centre For Human Neuroimaging |
Rani Moran; Wellcome Trust Centre For Human Neuroimaging |
Raymond Dolan; Wellcome Trust Centre For Human Neuroimaging |
Stephen Fleming; Wellcome Trust Centre For Human Neuroimaging |
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PS-1A.3: How the Human Brain Solves the Symbol-Grounding Problem |
Simone Viganò; University of Trento |
Valentina Borghesani; University of California San Francisco |
Manuela Piazza; University of Trento |
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PS-1A.4: Tracking Naturalistic Linguistic Predictions with Deep Neural Language Models |
Micha Heilbron; Donders Institute for Brain, Cognition, and Behaviour |
Benedikt Ehinger; Donders Institute for Brain, Cognition, and Behaviour |
Peter Hagoort; Donders Institute for Brain, Cognition, and Behaviour |
Floris de Lange; Donders Institute for Brain, Cognition, and Behaviour |
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PS-1A.5: Abstract Choice Representations Generalize Between Task Contexts |
Florian Sandhaeger; University of Tuebingen |
Nina Omejc; University of Tuebingen |
Anna-Antonia Pape; University of Tuebingen |
Markus Siegel; University of Tuebingen |
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PS-1A.6: Generalisation of structural knowledge in hippocampal – prefrontal circuits |
Veronika Samborska; Nuffield Department of Clinical Neurosciences |
Thomas Akam; Department of Experimental Psychology |
James Butler; Institute of Neurology |
Mark Walton; Department of Experimental Psychology |
Timothy Behrens; Nuffield Department of Clinical Neurosciences |
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PS-1A.7: Approximate Inference through Active Sampling of Likelihoods Accounts for Hick's Law and Decision Confidence |
Xiang Li; New York University |
Luigi Acerbi; University of Geneva |
Wei Ji Ma; New York University |
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PS-1A.8: Humans cannot decipher adversarial images: Revisiting Zhou and Firestone (2019) |
Marin Dujmović; University of Bristol |
Gaurav Malhotra; University of Bristol |
Jeffrey Bowers; University of Bristol |
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PS-1A.9: Using population receptive field models to elucidate spatial integration in high-level visual cortex |
Sonia Poltoratski; Stanford University |
Kendrick Kay; University of Minnesota |
Kalanit Grill-Spector; Stanford University |
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PS-1A.10: Anxiety Impedes Adaptive Social Learning Under Uncertainty |
Amrita Lamba; Brown University |
Michael Frank; Brown University |
Oriel FeldmanHall; Brown University |
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PS-1A.11: Learning robust visual representations using data augmentation invariance |
Alex Hernandez-Garcia; University of Osnabrück |
Peter König; University of Osnabrück |
Tim Kietzmann; University of Cambridge |
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PS-1A.12: A Multi-Level Reinforcement-Learning Model of Wisconsin Card Sorting Test Performance |
Alexander Steinke; Hannover Medical School |
Florian Lange; KU Leuven |
Bruno Kopp; Hannover Medical School |
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PS-1A.13: Attention bias towards structure explained by an intrinsic reward for learning |
Zhiwei Li; New York University |
Todd Gureckis; New York University |
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PS-1A.14: A neurally-constrained process model of prior-informed decision making |
Elaine Corbett; Trinity College Dublin |
Redmond O'Connell; Trinity College Dublin |
Simon Kelly; University College Dublin |
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PS-1A.15: Learning to evoke complex motor outputs with spatiotemporal neurostimulation using a hierarchical and adaptive optimization algorithm. |
Samuel Laferriere; Universite de Montreal, MILA |
Guillaume Lajoie; Universite de Montreal, MILA |
Numa Dancause; Universite de Montreal |
Marco Bonizzato; Universite de Montreal |
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PS-1A.16: Elucidating Cognitive Processes Using LSTMs |
Pedro F. da Costa; Birkbeck, University of London |
Sebastian Popescu; Imperial College London |
Robert Leech; King's College London |
Romy Lorenz; University of Cambridge |
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PS-1A.17: Subtractive gating improves generalization in working memory tasks |
Milton Llera Montero; University of Bristol |
Gaurav Malhotra; University of Bristol |
Jeff Bowers; University of Bristol |
Rui Ponte Costa; University of Bristol |
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PS-1A.18: Identifying the Neurophysiological Correlates of Learning in Human Perceptual Decision-Making |
David McGovern; Dublin City University |
Ciara Devine; Trinity College Dublin |
Christine Gaffney; Trinity College Dublin |
Simon Kelly; University College Dublin |
Redmond O'Connell; Trinity College Dublin |
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PS-1A.19: Learning about Other Persons’ Character Traits Relies on Combining Reinforcement Learning with Representations of Trait Similarities |
Koen Frolichs; University Medical Center Hamburg-Eppendorf |
Benjamin Kuper-Smith; University Medical Center Hamburg-Eppendorf |
Jan Gläscher; University Medical Center Hamburg-Eppendorf |
Gabriela Rosenblau; George Washington University and Children’s National Health System |
Christoph Korn; University Medical Center Hamburg-Eppendorf |
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PS-1A.20: Model abstraction for model-based reinforcement learning in the human orbitofrontal cortex |
Yu Takagi; University of Oxford |
Wako Yoshida; Kyoto University |
Saori Tanaka; Advanced Telecommunications Research Institute International |
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PS-1A.21: Action Grammars: A Cognitive Model for Learning Temporal Abstractions |
Robert Tjarko Lange; Einstein Center for Neurosciences Berlin |
Aldo Faisal; Imperial College London |
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PS-1A.22: Measuring behavioural and neural responses to fluctuations in real-world predictability |
Buddhika Bellana; Johns Hopkins University |
Hongmi Lee; Johns Hopkins University |
Xiaoye Zuo; Johns Hopkins University |
Janice Chen; Johns Hopkins University |
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PS-1A.23: Do neural oscillations reconfigure their networks to support adaptive listening behavior? |
Mohsen Alavash; University of Lübeck |
Sarah Tune; University of Lübeck |
Jonas Obleser; University of Lübeck |
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PS-1A.24: Using the perceptual confirmation-bias to study learning and feedback in fovea and periphery |
Ankani Chattoraj; University of Rochester |
Richard Lange; University of Rochester |
Ralf Haefner; University of Rochester |
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PS-1A.25: Do LSTMs know about Principle C? |
Jeff Mitchell; University of Bristol |
Nina Kazanina; University of Bristol |
Conor Houghton; University of Bristol |
Jeff Bowers; University of Bristol |
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PS-1A.26: Optimal maintenance and use of uncertainty in visual working memory |
Aspen Yoo; New York University |
Wei Ji Ma; New York University |
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PS-1A.27: Scalable simulation of rate-coded and spiking neural networks on shared memory systems |
Helge Ülo Dinkelbach; Chemnitz University of Technology |
Julien Vitay; Chemnitz University of Technology |
Fred H. Hamker; Chemnitz University of Technology |
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PS-1A.28: Increasing Neurogenesis in Old Mice Rejuvenates Hippocampal Function and Memory |
Federico Calegari; CRTD – Center for Regenerative Therapies Dresden, Technische Universität Dresden |
Gabriel Berdugo-Vega; CRTD – Center for Regenerative Therapies Dresden, Technische Universität Dresden |
Gonzalo Arial-Gil; Institute of Biology, Otto-von-Guericke University Magdeburg |
Gerd Kempermann; CRTD – Center for Regenerative Therapies Dresden, Technische Universität Dresden |
Kentaroh Takagaki; Institute of Biology, Otto-von-Guericke University Magdeburg |
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PS-1A.29: Network structure of neural systems supporting cascading dynamics predicts stimulus propagation and recovery |
Harang Ju; University of Pennsylvania |
Jason Kim; University of Pennsylvania |
Danielle Bassett; University of Pennsylvania |
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PS-1A.30: High-resolution population receptive field mapping of human high-level visual areas |
Charlotte Leferink; University of Toronto |
Claudia Damiano; University of Toronto |
Dirk Walther; University of Toronto |
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PS-1A.31: Modeling echo-target acquisition in blind humans |
Santani Teng; Smith-Kettlewell Eye Research Institute |
Giovanni Fusco; Smith-Kettlewell Eye Research Institute |
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PS-1A.32: Computational advantages of dopaminergic states for decision making |
Alana Jaskir; Brown University |
Michael Frank; Brown University |
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PS-1A.33: Probabilistic reasoning in schizophrenia is volatile but not biased |
Gerit Pfuhl; UiT The Arctic University of Norway |
Håkon Tjelmeland; NTNU |
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PS-1A.34: The causal contributions of medial prefrontal cortex to value-based decisions in mice |
Huriye Atilgan; Yale university |
Cayla Murphy; Yale university |
Alex Kwan; Yale university |
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PS-1A.35: Different clones for different contexts: Hippocampal cognitive maps as higher-order graphs of a cloned HMM |
Nishad Gothoskar; Vicarious AI |
J Swaroop Guntupalli; Vicarious AI |
Rajeev Rikhye; Vicarious AI |
Miguel Lázaro-Gredilla; Vicarious AI |
Dileep George; Vicarious AI |
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PS-1A.36: The origin of fixed, history-independent choice biases of rodents in perceptual decision making tasks |
Gabor Lengyel; Central European University |
Alexandre Hyafil; Universitat Pompeu Fabra |
Jozsef Fiser; Central European University |
Jaime de la Rocha; Institut d’Investigacions Biomediques August Pi i Sunyer |
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PS-1A.37: Power, positive predictive value, and sample size calculations for random field theory-based fMRI inference |
Dirk Ostwald; Freie Universität Berlin |
Sebastian Schneider; Freie Universität Berlin |
Rasmus Bruckner; Freie Universität Berlin |
Lilla Horvath; Freie Universität Berlin |
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PS-1A.38: Optimal planning to plan: People partially plan based on plan specificity |
Mark Ho; Princeton University |
David Abel; Brown University |
Jonathan Cohen; Princeton University |
Michael Littman; Brown University |
Thomas Griffiths; Princeton University |
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PS-1A.39: fMRI encoding and decoding of natural sounds in the aged human auditory cortex |
Julia Erb; Universität zu Lübeck |
Lea-Maria Schmitt; Universität zu Lübeck |
Jonas Obleser; Universität zu Lübeck |
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PS-1A.40: Pupil dilation indexes statistical learning about the uncertainty of stimulus distributions |
Francesco Silvestrin; University of East Anglia |
Thomas FitzGerald; University of East Anglia |
William Penny; University of East Anglia |
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PS-1A.41: Incorporating Feedback in Convolutional Neural Networks |
Christian Jarvers; Ulm University |
Heiko Neumann; Ulm University |
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PS-1A.42: A quantitative model of the language familiarity effect in infancy |
Craig Thorburn; University Of Maryland |
Naomi Feldman; University Of Maryland |
Thomas Schatz; University Of Maryland |
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PS-1A.43: ABC-NN: Approximate Bayesian Computation with Neural Networks to learn likelihood functions for efficient parameter estimation |
Alexander Fengler; Brown University |
Michael Frank; Brown University |
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PS-1A.44: Modeling the N400 brain potential as Semantic Bayesian Surprise |
Lea Musiolek; Freie Universität Berlin |
Felix Blankenburg; Freie Universität Berlin |
Dirk Ostwald; Freie Universität Berlin |
Milena Rabovsky; Freie Universität Berlin |
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PS-1A.45: The Impact of Acetylcholine on Basolateral Amygdala Macrocircuits |
Evelyne Tantry; Rice University |
Joshua Ortiz-Guzman; Baylor College of Medicine |
Benjamin Arenkiel; Baylor College of Medicine |
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PS-1A.46: Toolbox for the Reinforcement Learning Drift Diffusion Model |
Mads Pedersen; University of Oslo |
Michael Frank; Brown University |
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PS-1A.47: A human-like view-invariant representation of faces in deep neural networks trained with faces but not with objects |
Naphtali Abudarham; Tel Aviv University |
Galit Yovel; Tel Aviv University |
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PS-1A.48: Visual Expertise and the Familiar Face Advantage |
Nicholas Blauch; Carnegie Mellon University |
Marlene Behrmann; Carnegie Mellon University |
David Plaut; Carnegie Mellon University |
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PS-1A.49: Modulation of early visual processing alleviates capacity limits in solving multiple tasks |
Sushrut Thorat; Radboud University |
Giacomo Aldegheri; Radboud University |
Marcel A.J. van Gerven; Radboud University |
Marius V. Peelen; Radboud University |
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PS-1A.50: Fitting a Computational Model of Perceptual Inference to Principal Component Weights of ERP Responses |
Lukas Vogelsang; University of Zurich / ETH Zurich |
Lilian Weber; University of Zurich / ETH Zurich |
Sara Tomiello; University of Zurich / ETH Zurich |
Dario Schöbi; University of Zurich / ETH Zurich |
Katharina V. Wellstein; University of Zurich / ETH Zurich |
Sandra Iglesias; University of Zurich / ETH Zurich |
Klaas Enno Stephan; University of Zurich / ETH Zurich |
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PS-1A.51: The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence |
Radoslaw Martin Cichy; Freie Universität Berlin |
Gemma Roig; Singapore University of Technology and Design |
Alex Andonian; Massachusetts Institute of Technology |
Kshitij Dwivedi; Singapore University of Technology and Design |
Benjamin Lahner; Massachusetts Institute of Technology |
Alex Lascelles; Massachusetts Institute of Technology |
Yalda Mohsenzadeh; Massachusetts Institute of Technology |
Kandan Ramakrishnan; Massachusetts Institute of Technology |
Aude Oliva; Massachusetts Institute of Technology |
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PS-1A.52: Attention During Story Listening Modulates Temporal Receptive Windows Across Human Cortex |
Mohammad Shahdloo; Bilkent University |
Mert Acar; Bilkent University |
Tolga Çukur; Bilkent University |
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PS-1A.53: A causal inference model for the perception of complex motion in the presence of self-motion |
Sabyasachi Shivkumar; University of Rochester |
Gregory DeAngelis; University of Rochester |
Ralf Haefner; University of Rochester |
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PS-1A.54: The Accumulation of Salient Changes in Visual Cortex Predicts Subjective Time |
Maxine Sherman; University of Sussex |
Zafeirios Fountas; University College London |
Anil Seth; University of Sussex |
Warrick Roseboom; University of Sussex |
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PS-1A.55: The Amsterdam Open MRI Collection (AOMIC): A Collection of Publicly Available Population Imaging Datasets. |
Lukas Snoek; University of Amsterdam |
Maite van der Miesen; University of Amsterdam |
Tinka Beemsterboer; University of Amsterdam |
Andries van der Leij; BrainsFirst |
H. Steven Scholte; University of Amsterdam |
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PS-1A.56: Compositional Neural Representations in the Hippocampal Formation and Prefrontal Cortex Underlie Visual Construction and Planning |
Philipp Schwartenbeck; University College London |
Alon Baram; University of Oxford |
Shirley Mark; University College London |
Zeb Kurth-Nelson; DeepMind |
Raymond Dolan; University College London |
Tim Behrens; University of Oxford |
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PS-1A.57: NMDA-Receptor Dysfunction Disrupts Serial Biases in Spatial Working Memory |
Heike Stein; Institut d’Investigacions Biomèdiques August Pi i Sunyer |
João Barbosa; Institut d’Investigacions Biomèdiques August Pi i Sunyer |
Josep Dalmau; Institut d’Investigacions Biomèdiques August Pi i Sunyer |
Albert Compte; Institut d’Investigacions Biomèdiques August Pi i Sunyer |
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PS-1A.58: Adaptive Filters to Remove Deep Brain Stimulation Artifacts from Local Field Potentials |
Taha Morshedzadeh; Krembil Brain Institute |
Neil M. Drummond; Krembil Brain Institute |
Utpal Saha; Krembil Brain Institute |
Robert Chen; Krembil Brain Institute |
Milad Lankarany; Krembil Brain Institute |
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PS-1A.59: A Causal Effect of Macaque V2 in a Coarse Disparity Discrimination Task |
Katrina Quinn; University of Tuebingen |
Bruce Cumming; National Institute of Health |
Hendrikje Nienborg; University of Tuebingen |
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PS-1A.60: Using Pareidolia to Study the Impact of Semantic Processing on Brain Oscillations, Memory Encoding, and Representational Similarity in EEG |
Marie-Christin Fellner; Ruhr University Bochum |
Martina Bauer; Ruhr University Bochum |
Nikolai Axmacher; Ruhr University Bochum |
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PS-1A.61: Analysis of Correspondence Relationship between Brain Activity and Semantic Representation |
Kana Ozaki; Ochanomizu University |
Satoshi Nishida; National Institute of Information and Communications Technology |
Shinji Nishimoto; National Institute of Information and Communications Technology |
Hideki Asoh; National Institute of Advanced Industrial Science and Technology |
Ichiro Kobayashi; Ochanomizu University |
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PS-1A.62: Measuring the Spatial Scale of Brain Representations |
Avital Hahamy; University College London |
Tim Behrens; University of Oxford |
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PS-1A.63: The orbitofrontal cortex as a negative feedback control system: computational modeling and fMRI |
Noah Zarr; Indiana University |
Joshua Brown; Indiana University |
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PS-1A.64: Does CNN Explain Tuning Properties of Macaque Face-Processing System? |
Rajani Raman; Advanced Telecommunications Research Institute International |
Haruo Hosoya; Advanced Telecommunications Research Institute International |
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PS-1A.65: Adversarial Training of Neural Encoding Models on Population Spike Trains |
Poornima Ramesh; Technical University of Munich |
Mohamad Atayi; Technical University of Munich |
Jakob H Macke; Technical University of Munich |
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PS-1A.66: Temporal Pattern Models for Physiological Arousal During a Steering Task |
Tuisku Tammi; University of Helsinki |
Noora Lehtonen; University of Helsinki |
Benjamin Ultan Cowley; University of Helsinki |
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PS-1A.67: Evaluating the angular power spectrum of cortical folding |
Christopher Madan; University of Nottingham |
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PS-1A.68: Modeling the development of decision making in volatile environments using strategies, reinforcement learning, and Bayesian inference |
Maria Eckstein; UC Berkeley |
Sarah Master; UC Berkeley |
Ronald Dahl; UC Berkeley |
Linda Wilbrecht; UC Berkeley |
Anne Collins; UC Berkeley |
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PS-1A.69: Synchronized and Propagating States of Human Auditory Processing |
Joon-Young Moon; Johns Hopkins University |
Kathrin Müsch; Johns Hopkins University |
Charles Schroeder; The Nathan S. Kline Institute for Psychiatric Research |
Christopher Honey; Johns Hopkins University |
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PS-1A.70: State Anxiety Biases Precision Estimates in Volatile Environments |
Thomas Hein; Goldsmiths University of London |
María Herrojo-Ruiz; Goldsmiths University of London |
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PS-1A.71: RNNs develop history biases in an expectation-guided two-alternative forced choice task |
Manuel Molano-Mazon; IDIBAPS |
Guangyu Robert Yang; Columbia University |
Ainhoa Hermoso-Mendizabal; IDIBAPS |
Jaime de la Rocha; IDIBAPS |
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PS-1A.72: Value spillover: How contextually irrelevant values influence choice and vmPFC activity in humans |
Nir Moneta; Max Planck Institute for Human Development |
Hauke R. Heekeren; Freie Universitaet Berlin |
Nicolas W. Schuck; Max Planck Institute for Human Development |
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