PS-2B: Poster Session 2B |
Session Type: Poster |
Time: Friday, September 7, 19:30 - 21:30 |
Location: Symphony/Overture |
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PS-2B.1: The dynamics of frustration |
Bowen Fung; California Institute of Technology |
Dean Mobbs; California Institute of Technology |
Colin Camerer; California Institute of Technology |
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PS-2B.2: Ghost Units Yield Biologically Plausible Backprop in Deep Neural Networks |
Thomas Mesnard; Montreal Institute for Learning Algorithms |
Gaëtan Vignoud; Montreal Institute for Learning Algorithms |
Walter Senn; University of Bern |
Yoshua Bengio; Montreal Institute for Learning Algorithms |
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PS-2B.3: Combining heuristics with counterfactual play in reinforcement learning. |
Erik Peterson; Carnegie Mellon University |
Necati Müyesser; Carnegie Mellon University |
Kyle Dunovan; Carnegie Mellon University |
Tim Verstynen; Carnegie Mellon University |
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PS-2B.4: Additive Continuous-time Joint Partitioning of Neural Variability |
Adam Charles; Princeton University |
Jonathan Pillow; Princeton University |
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PS-2B.6: Reverse Engineering Neural Networks From Many Partial Recordings |
Elahe Arani; Radboud University Nijmegen |
Sofia Triantafillou; University of Pennsylvania |
Konrad Kording; University of Pennsylvania |
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PS-2B.7: A flexible model of working memory |
Flora Bouchacourt; Princeton Neuroscience Institute |
Tim Buschman; Princeton Neuroscience Institute |
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PS-2B.8: The contribution of response correlations to the neural code of V1 |
Mihály Bányai; MTA Wigner Research Centre for Physics |
Marcell Stippinger; MTA Wigner Research Centre for Physics |
Dávid Szalai; MTA Wigner Research Centre for Physics |
Gergő Orbán; MTA Wigner Research Centre for Physics |
Andreea Lazar; Ernst Strüngmann Institute for Neuroscience in Cooperation with Max Planck Society |
Liane Klein; Ernst Strüngmann Institute for Neuroscience in Cooperation with Max Planck Society |
Johanna Klon-Lipok; Ernst Strüngmann Institute for Neuroscience in Cooperation with Max Planck Society |
Wolf Singer; Ernst Strüngmann Institute for Neuroscience in Cooperation with Max Planck Society |
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PS-2B.9: Texture Statistics: The Mechanism Behind Ensemble Perception in Human Vision |
Sasen Cain; University of California San Diego |
Matthew Cain; United States Army and Tufts University |
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PS-2B.11: Value-conflict and volatility influence distinct decision-making processes |
Krista Bond; Carnegie Mellon University |
Kyle Dunovan; Carnegie Mellon University |
Timothy Verstynen; Carnegie Mellon University |
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PS-2B.12: Optimizing deep video representation to match brain activity |
Hugo Richard; Inria |
Ana Luisa Pinho; Inria |
Bertrand Thirion; Inria |
Guillaume Charpiat; Inria |
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PS-2B.13: Reconstructing faces from fMRI patterns using Generative Adversarial Networks |
Rufin VanRullen; CNRS |
Leila Reddy; CNRS |
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PS-2B.14: A Greedy Best-First Search Algorithm for Accurate Functional Brain Mapping |
Nima Asadi; Temple University |
Yin Wang; Temple University |
Ingrid Olson; Temple University |
Zoran Obradovic; Temple University |
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PS-2B.15: Selective behavioral deficits from focal inactivation of primate inferior temporal (IT) cortex: a new quantitative constraint for models of core object recognition |
Rishi Rajalingham; Massachusetts Institute of Technology |
Hyodong Lee; Massachusetts Institute of Technology |
James J. DiCarlo; Massachusetts Institute of Technology |
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PS-2B.16: Capturing the geometric structure of episodic memories for naturalistic experiences |
Andrew Heusser; Dartmouth College |
Jeremy Manning; Dartmouth College |
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PS-2B.17: The functional role of cue-driven feature-based feedback in object recognition |
Sushrut Thorat; Donders Institute for Brain, Cognition and Behaviour |
Marcel van Gerven; Donders Institute for Brain, Cognition and Behaviour |
Marius Peelen; Donders Institute for Brain, Cognition and Behaviour |
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PS-2B.18: Semantic Compression of Episodic Memories |
David G. Nagy; MTA Wigner Research Centre for Physics |
Balázs Török; MTA Wigner Research Centre for Physics |
Gergő Orbán; MTA Wigner Research Centre for Physics |
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PS-2B.19: Cortical Mirror-System Activation During Real-Life Game Playing: An Intracranial Electroencephalography (EEG) Study |
Markus Kern; Translational Neurotechnology Lab |
Johanna Ruescher; Faculty of Biology |
Tonio Ball; Translational Neurotechnology Lab |
Andreas Schulze-Bonhage; Epilepsy Center |
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PS-2B.20: Experimental And Computational Investigation of the Effects of Variable RSI on Sequence Learning |
Sneha Kummetha; International Institute of Information Technology, Hyderabad |
Pramod Kaushik; International Institute of Information Technology, Hyderabad |
Anuj Shukla; International Institute of Information Technology, Hyderabad |
Bapi Raju Surampudi; International Institute of Information Technology, Hyderabad and University of Hyderabad |
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PS-2B.21: Calcium imaging in canary (serinus canaria) HVC reveals latent states supporting behavioral sequencing with long range history dependence |
Yarden Cohen; Boston University |
Jun Shen; Boston University |
Dawit Semu; Boston University |
Timothy M. Otchy; Boston University |
Timothy J. Gardner; Boston University |
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PS-2B.22: Explaining Visual Cortex Phenomena using Recursive Cortical Network |
Alexander Lavin; Vicarious AI |
J. Swaroop Guntupalli; Vicarious AI |
Miguel Lázaro-Gredilla; Vicarious AI |
Wolfgang Lehrach; Vicarious AI |
Dileep George; Vicarious AI |
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PS-2B.24: Disinhibition as a canonical neural mechanism for flexible behavior |
Dominic Standage; Queen's University |
Martin Pare; Queen's University |
Gunnar Blohm; Queen's University |
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PS-2B.25: Task Demands and Stimulus Normalization in Face Perception: an fMRI Study |
Nicholas Blauch; University of Massachusetts, Amherst |
Rosemary Cowell; University of Massachusetts, Amherst |
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PS-2B.26: Modelling Human Visual Uncertainty using Bayesian Deep Neural Networks |
Patrick McClure; University of Cambridge |
Tim Kietzmann; Univeristy of Cambridge |
Johannes Mehrer; Univeristy of Cambridge |
Nikolaus Kriegeskorte; Columbia Univeristy |
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PS-2B.27: A mathematical model of real-world object shape predicts human perceptual judgments |
Caterina Magri; Harvard University |
Andrew Marantan; Harvard University |
L Mahadevan; Harvard University |
Talia Konkle; Harvard University |
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PS-2B.28: Computational mechanisms of human state-action-reward contingency learning under perceptual uncertainty |
Dirk Ostwald; Freie Universität Berlin |
Rasmus Bruckner; Freie Universität Berlin |
Hauke Heekeren; Freie Universität Berlin |
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PS-2B.29: Controllability Analysis on Functional Brain Networks |
Shi Gu; University of Electronic Science and Technology of China |
Shikuang Deng; University of Electronic Science and Technology of China |
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PS-2B.30: Linking image-by-image population dynamics in the macaque inferior temporal cortex to core object recognition behavior |
Kohitij Kar; Massachusetts Institute of Technology |
Kailyn Schmidt; Massachusetts Institute of Technology |
James DiCarlo; Massachusetts Institute of Technology |
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PS-2B.31: Endogenous pre-stimulus activity modulates category tuning in ventral temporal cortex and influences perceptual behavior |
Yuanning Li; Carnegie Mellon University |
Michael Ward; University of Pittsburgh |
Mark Richardson; University of Pittsburgh |
Max G'Sell; Carnegie Mellon University |
Avniel Ghuman; University of Pittsburgh |
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PS-2B.32: Convolutional Neural Network Achieves Human-level Accuracy in Music Genre Classification |
Mingwen Dong; Rutgers University |
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PS-2B.33: Saccadic guidance for information gathering in natural scenes |
Kirsty McNaught; University College London |
Maneesh Sahani; University College London |
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PS-2B.34: Mod-DeepESN: Modular Deep Echo State Network |
Zachariah Carmichael; Rochester Institute of Technology |
Humza Syed; Rochester Institute of Technology |
Stuart Burtner; Rochester Institute of Technology |
Dhireesha Kudithipudi; Rochester Institute of Technology |
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PS-2B.35: Music selectivity in the cortex is independent of extensive musical training |
Dana Boebinger; Harvard University |
Sam Norman-Haignere; Ecole Normale Superieure |
Josh McDermott; Massachusetts Institute of Technology |
Nancy Kanwisher; Massachusetts Institute of Technology |
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PS-2B.36: Thalamic Modulation of Memory in Recurrent Networks |
Peter Stratton; The University of Queensland |
Michael Halassa; Massachusetts Institute of Technology |
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PS-2B.37: Unique contributions of medial axis structure in human object recognition |
Vladislav Ayzenberg; Emory University |
Stella Lourenco; Emory University |
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PS-2B.38: Structural support for brain state transitions that contribute to working memory |
Eli Cornblath; University of Pennsylvania |
Rastko Ciric; University of Pennsylvania |
Graham Baum; University of Pennsylvania |
Kosha Ruparel; University of Pennsylvania |
Tyler Moore; University of Pennsylvania |
Ruben Gur; University of Pennsylvania |
Raquel Gur; University of Pennsylvania |
David Roalf; University of Pennsylvania |
Theodore Satterthwaite; University of Pennsylvania |
Danielle Bassett; University of Pennsylvania |
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PS-2B.39: Modeling Visual Working Memory in Schizophrenia |
Yijie Zhao; East China Normal University |
Xuemei Ran; East China Normal University |
Li Zhang; East China Normal University |
Ruyuan Zhang; University of Minnesota |
Yixuan Ku; East China Normal University |
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PS-2B.40: Voxel to voxel encoding models reveal unexpected structure in unexplained variance |
Maggie Mae Mell; Medical University of South Carolina |
Thomas Naselaris; Medical University of South Carolina |
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PS-2B.41: General Shape Features Allow for Categorization of Written Symbols Across Font Variation |
Daniel Janini; Harvard University |
Talia Konkle; Harvard University |
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PS-2B.42: Neural network vs. HMM speech recognition systems as models of human cross-linguistic phonetic perception |
Thomas Schatz; University of Maryland & Massachusetts Institute of Technology |
Naomi Feldman; University of Maryland & Massachusetts Institute of Technology |
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PS-2B.43: Improving associative learning studies with Bayesian experimental design |
Filip Melinscak; University of Zurich |
Dominik R. Bach; University of Zurich |
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PS-2B.44: Analog Computation in Computational Cognitive Neuroscience |
Corey Maley; University of Kansas |
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PS-2B.45: Learning to overexert cognitive control in the Stroop task |
Laura Bustamante; Princeton University |
Falk Lieder; Max Planck Institute for Intelligent Systems |
Sebastian Musslick; Princeton University |
Amitai Shenhav; Brown University |
Jonathan Cohen; Princeton University |
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