PS-1A: Poster Session 1A |
| Session Type: Poster |
| Time: Thursday, September 6, 16:30 - 18:30 |
| Location: Symphony/Overture |
| PS-1A.1: Potential cortical and computational biases in representational similarity analysis |
| Daniel Leeds; Fordham University |
| David Shutov; Fordham University |
| PS-1A.2: From prediction to modification - modeling first impression of faces |
| Amanda Song; University of California, San Diego |
| Chad Atalla; University of California, San Diego |
| Li Linjie; University of California, San Diego |
| Bartholomew Tam; University of California, San Diego |
| Garrison Cottrell; University of California, San Diego |
| PS-1A.3: Can Deep Neural Networks Rival Human Ability to Generalize in Core Object Recognition? |
| Jonas Kubilius; MIT |
| Kohitij Kar; MIT |
| Kailyn Schmidt; MIT |
| James DiCarlo; MIT |
| PS-1A.4: Theta phase at encoding leads to successful memory formation |
| Josefina Cruzat; Universitat Pompeu Fabra |
| Mireia Torralba; Universitat Pompeu Fabra |
| Manuela Ruzzoli; Universitat Pompeu Fabra |
| Gustavo Deco; Universitat Pompeu Fabra |
| Salvador Soto-Faraco; Universitat Pompeu Fabra |
| PS-1A.5: Voxel-wise Modeling with Spatial Regularization: Application to Semantic Mapping during Natural Listening |
| ÖZGÜR YILMAZ; Bilkent University |
| EMİN ÇELİK; Bilkent University |
| TOLGA ÇUKUR; Bilkent University |
| PS-1A.6: The many directions of feedback alignment |
| Brian Cheung; UC Berkeley |
| Daniel Jiang; UC Berkeley |
| PS-1A.7: A biphasic temporal pattern in pupil size around perceptual switches in binocular rivalry |
| Gilles de Hollander; Vrije Universiteit Amsterdam |
| Eline R. Kupers; New York University |
| Jan W. Brascamp; Michigan State University |
| Tomas H. Knapen; Vrije Universiteit Amsterdam |
| PS-1A.9: Understanding illusory face perception in the human brain |
| Susan Wardle; National Institutes of Health |
| Jessica Taubert; National Institutes of Health |
| Lina Teichmann; Macquarie University |
| Chris Baker; National Institutes of Health |
| PS-1A.10: Approximate inference explains paradoxical data in two-event causal inference task |
| Sabyasachi Shivkumar; University of Rochester |
| Madeline Cappelloni; University of Rochester |
| Ross Maddox; University of Rochester |
| Ralf M. Haefner; University of Rochester |
| PS-1A.11: Predicting human perceived similarity across a wide range of object categories via sparse positive embeddings |
| Martin Hebart; Laboratory of Brain & Cognition, National Institute of Mental Health |
| Charles Zheng; Section on Functional Imaging Methods, National Institute of Mental Health |
| Francisco Pereira; Section on Functional Imaging Methods, National Institute of Mental Health |
| Chris Baker; Laboratory of Brain & Cognition, National Institute of Mental Health |
| PS-1A.12: Humans can outperform Q-learning in terms of learning efficiency |
| Holger Mohr; Technische Universität Dresden |
| Katharina Zwosta; Technische Universität Dresden |
| Dimitrije Markovic; Technische Universität Dresden |
| Sebastian Bitzer; Technische Universität Dresden |
| Uta Wolfensteller; Technische Universität Dresden |
| Hannes Ruge; Technische Universität Dresden |
| PS-1A.13: Cortical Microcircuits from a Generative Vision Model |
| Dileep George; Vicarious AI |
| Alexander Lavin; Vicarious AI |
| J. Swaroop Guntupalli; Vicarious AI |
| David Mely; Vicarious AI |
| Nick Hay; Vicarious AI |
| Miguel Lázaro-Gredilla; Vicarious AI |
| PS-1A.14: Are you sure about that? On the origins of confidence in concept learning |
| Hrvoje Stojic; University College London |
| Eran Eldar; University College London |
| Hassan Bassam; University College London |
| Peter Dayan; University College London |
| Raymond J. Dolan; University College London |
| PS-1A.15: Deep Predictive Coding Models of Sensory Information Processing in the Brain |
| Shirin Dora; University of Amsterdam |
| Cyriel Pennartz; University of Amsterdam |
| Sander Bohte; Centrum Wiskunde & Informatica |
| PS-1A.16: Repetition Suppression during Movement Execution Reflects Different Mechanisms in the Striatum than in the Neocortex |
| Eva Berlot; Western University |
| Nicola J. Popp; Western University |
| Jörn Diedrichsen; Western University |
| PS-1A.17: Representation of adversarial images in deep neural networks and the human brain |
| Chi Zhang; National Digital Switching System Engineering and Technological Research Center |
| Xiaohan Duan; National Digital Switching System Engineering and Technological Research Center |
| Ruyuan Zhang; University of Minnesota |
| Li Tong; National Digital Switching System Engineering and Technological Research Center |
| PS-1A.18: Antagonistic cross-links and reciprocal couplings emerge in optimal multisensory integration |
| He Wang; Hong Kong University of Science and Technology |
| Wen-Hao Zhang; University of Pittsburgh |
| K. Y. Michael Wong; Hong Kong University of Science and Technology |
| Si Wu; Peking University |
| PS-1A.19: Choice History Biases Subsequent Evidence Accumulation |
| Anne Urai; University Medical Center Hamburg-Eppendorf |
| Jan Willem de Gee; University Medical Center Hamburg-Eppendorf |
| Konstantinos Tsetsos; University Medical Center Hamburg-Eppendorf |
| Tobias Donner; University Medical Center Hamburg-Eppendorf |
| PS-1A.20: BOLD predictions: automated simulation of fMRI experiments |
| Leila Wehbe; UC Berkeley |
| Alexander G Huth; UT Austin |
| Fatma Deniz; UC Berkeley |
| James Gao; UC Berkeley |
| Marie-Luise Kieseler; Dartmouth University |
| Jack L Gallant; UC Berkeley |
| PS-1A.21: Towards a common philosophy of explanation for artificial and biological intelligence |
| Jessica Thompson; University of Montreal |
| PS-1A.22: Low-Rank Nonlinear Decoding of μ-ECoG from the Primary Auditory Cortex |
| Melikasadat Emami; University of California, Los Angeles |
| Mojtaba Sahraee Ardakan; University of California, Los Angeles |
| Parthe Pandit; University of California, Los Angeles |
| Alyson Fletcher; University of California, Los Angeles |
| Sundeep Rangan; New York University |
| Michael Trumpis; Duke University |
| Brinnae Bent; Duke University |
| Chia-Han Chiang; Duke University |
| Jonathan Viventi; Duke University |
| PS-1A.23: Laterally connected neural field provides precise centroid estimates |
| Sebastian Waz; University of California, Irvine |
| Charles Chubb; University of California, Irvine |
| PS-1A.24: Noisy inference of value signals in frontal cortex drives exploration during reward-guided learning |
| Charles Findling; Ecole normale supérieure |
| Vasilisa Skvortsova; Ecole normale supérieure |
| Rémi Dromnelle; Université Pierre et Marie Curie |
| Nicolas Chopin; École nationale de la statistique et de l'administration économique |
| Stefano Palminteri; Ecole normale supérieure |
| Valentin Wyart; Ecole normale supérieure |
| PS-1A.25: Modeling the Intuitive Physics of Stability Judgments Using Deep Hierarchical Convolutional Neural Networks |
| Colin Conwell; Harvard University |
| George Alvarez; Harvard University |
| PS-1A.27: Deep Neural Networks Represent Semantic Category in Object Images Independently from Low-level Shape |
| Astrid Zeman; KULeuven |
| J Brendan Ritchie; KULeuven |
| Stefania Bracci; KULeuven |
| Hans Op de Beeck; KULeuven |
| PS-1A.28: Temporal dynamics underlying sound discrimination in the human brain |
| Matthew Lowe; MIT |
| Santani Teng; MIT |
| Yalda Mohsenzadeh; MIT |
| Ian Charest; University of Birmingham |
| Dimitrios Pantazis; MIT |
| Aude Oliva; MIT |
| PS-1A.29: Rapid detection of social interactions in the human brain |
| Leyla Isik; MIT |
| Anna Mynick; MIT |
| Dimitrios Pantazis; MIT |
| Nancy Kanwisher; MIT |
| PS-1A.30: A value-based explanation for lapses in perceptual decisions |
| Sashank Pisupati; Cold Spring Harbor Laboratory |
| Lital Chartarifsky; Cold Spring Harbor Laboratory |
| Anne Churchland; Cold Spring Harbor Laboratory |
| PS-1A.31: Deep Graph Convolutional Neural Networks Identify Frontoparietal Control and Default Mode Network Contributions to Mental Imagery |
| Michael Craig; University of Cambridge |
| Ram Adapa; University of Cambridge |
| Ioannis Pappas; University of Cambridge |
| David Menon; University of Cambridge |
| Emmanuel Stamatakis; University of Cambridge |
| PS-1A.32: Generalized Schema Learning by Neural Networks |
| Catherine Chen; Princeton University |
| Qihong Lu; Princeton University |
| Andre Beukers; Princeton University |
| Chris Baldassano; Princeton University |
| Kenneth Norman; Princeton University |
| PS-1A.33: Incorporating an adaptive learning rate in a neural model of action selection |
| Sverrir Thorgeirsson; University of Waterloo |
| Brent Komer; University of Waterloo |
| Chris Eliasmith; University of Waterloo |
| PS-1A.34: Deep Predictive Learning in Vision |
| Randall O'Reilly; University of Colorado Boulder |
| John Rohrlich; University of Colorado Boulder |
| PS-1A.35: Shaping Model-Free Reinforcement-Learning with Model-Based Pseudorewards |
| Paul Krueger; Princeton University |
| Thomas Griffiths; Princeton University |
| PS-1A.36: Brain connectivity is modularly represented in the genome |
| Maxwell Bertolero; University of Pennsylvania |
| Graham Baum; University of Pennsylvania |
| Theodore Satterthwaite; University of Pennsylvania |
| Danielle Bassett; University of Pennsylvania |
| PS-1A.37: Learning and Reasoning in a Complex Environment |
| David Barack; Columbia University |
| C Daniel Salzman; Columbia University |
| PS-1A.38: Human Priors in Hierarchical Program Induction |
| Mark Ho; UC Berkeley |
| Sophia Sanborn; UC Berkeley |
| Fred Callaway; UC Berkeley |
| David Bourgin; UC Berkeley |
| Tom Griffiths; UC Berkeley |
| PS-1A.39: Dopaminergic changes in striatal pathway competition modify specific cognitive decision parameters |
| Kyle Dunovan; Carnegie Mellon University |
| Catalina Vich; Universitat de les Illes Balears |
| Matthew Clapp; University of South Carolina |
| Jonathan Rubin; University of Pittsburgh |
| Timothy Verstynen; Carnegie Mellon University |
| PS-1A.40: Learning Intermediate Features of Object Affordances with a Convolutional Neural Network |
| Aria Wang; Carnegie Mellon University |
| Michael Tarr; Carnegie Mellon University |
| PS-1A.42: A Neural Microcircuit Model for a Scalable Scale-invariant Representation of Time |
| Yue Liu; Boston University |
| Zoran Tiganj; Boston University |
| Michael Hasselmo; Boston University |
| Marc Howard; Boston University |
| PS-1A.43: Microcircuit Design for Real-Time Data Acquisition and Neuromuscular Control of Insect Motion |
| Evan Faulkner; University of Connecticut |
| Abhishek Dutta; University of Connecticut |
| PS-1A.44: Predictive Coding Produces Alpha-band Rhythmic Travelling Waves |
| Andrea Alamia; CNRS - Université de Toulouse |
| Rufin VanRullen; CNRS - Université de Toulouse |
| PS-1A.45: Auditory scene analysis as Bayesian inference in sound source models |
| Maddie Cusimano; Massachusetts Institute of Technology |
| Luke Hewitt; Massachusetts Institute of Technology |
| Joshua B. Tenenbaum; Massachusetts Institute of Technology |
| Josh H. McDermott; Massachusetts Institute of Technology |
| PS-1A.46: A Network Science Cartography of Cognitive Control System Dynamics |
| Carrisa V Cocuzza; Rutgers University |
| Julia Hamilton; Rutgers University |
| Emily Winfield; Rutgers University |
| Danielle S. Bassett; University of Pennsylvania |
| Michael W Cole; Rutgers University |