PS-2A: Poster Session 2A |
| Session Type: Poster |
| Time: Friday, September 7, 17:15 - 19:15 |
| Location: Symphony/Overture |
| PS-2A.1: Evidence for an Intuitive Physics Engine in the Human Brain |
| Sarah Schwettmann; MIT |
| Josh Tenenbaum; MIT |
| Nancy Kanwisher; MIT |
| PS-2A.2: A public fMRI dataset of 5000 scenes: a resource for human vision science |
| Nadine Chang; Carnegie Mellon University |
| John Pyles; Carnegie Mellon University |
| Abhinav Gupta; Carnegie Mellon University |
| Michael Tarr; Carnegie Mellon University |
| Elissa Aminoff; Fordham University |
| PS-2A.3: Signal power as the limited resource of working memory |
| Thomas Christie; University of Minnesota |
| Paul Schrater; University of Minnesota |
| PS-2A.4: Izhikevich Models For Hippocampal Neurons And Its Sub-Region CA3 |
| Priyamvada Modak; Indian Institute of Technology Madras |
| V. Srinivasa Chakravarthy; Indian Institute of Technology Madras |
| PS-2A.5: Structure from Noise: Mental Errors Yield Abstract Representations of Events |
| Christopher Lynn; Univ of Pennsylvania |
| Ari Kahn; Univ of Pennsylvania |
| Danielle Bassett; Univ of Pennsylvania |
| PS-2A.6: Hierarchical nonlinear embedding reveals brain states and performance differences during working memory tasks |
| Siyuan Gao; Yale University |
| Gal Mishne; Yale University |
| Dustin Scheinost; Yale University |
| PS-2A.7: Inverse POMDP: Inferring Internal Model and Latent Beliefs |
| Zhengwei Wu; Baylor College of Medicine |
| Paul Schrater; University of Minnesota |
| Xaq Pitkow; Rice University |
| PS-2A.8: Unsupervised learning of manifold models for neural coding of physical transformations in the ventral visual pathway |
| Marissa Connor; Georgia Institute of Technology |
| Christopher Rozell; Georgia Institute of Technology |
| PS-2A.9: Equivalence of Equilibrium Propagation and Recurrent Backpropagation |
| Benjamin Scellier; University of Montreal |
| Yoshua Bengio; University of Montreal |
| PS-2A.10: Effect of Signal Alteration on Learning Shape Identity using Sparse Representations |
| Michael Slugocki; McMaster University |
| Allison B. Sekuler; Baycrest Health Sciences |
| Patrick J. Bennett; McMaster University |
| PS-2A.11: Activation alignment: exploring the use of approximate activity gradients in multilayer networks |
| Thomas Mesnard; Montreal Institute for Learning Algorithms |
| Blake Richards; University of Toronto Scarborough |
| PS-2A.12: Inference of dynamic probabilistic internal representations from reaction time data |
| Balázs Török; MTA Wigner Research Centre for Physics |
| Dávid G. Nagy; MTA Wigner Research Centre for Physics |
| Karolina Janacsek; Eötvös Loránd University |
| Dezső Németh; Eötvös Loránd University |
| Gergő Orbán; MTA Wigner Research Centre for Physics |
| PS-2A.13: Does the brain represent words? An evaluation of brain decoding studies of language understanding |
| Jon Gauthier; Massachusetts Institute of Technology |
| Anna Ivanova; Massachusetts Institute of Technology |
| PS-2A.14: The strength of functional connectivity between the frontoparietal and default mode systems correlates with behavioral performance on a variety of tasks in the Human Connectome Project |
| Andrew Murphy; University of Pennsylvania |
| Maxwell Bertolero; University of Pennsylvania |
| Danielle Bassett; University of Pennsylvania |
| PS-2A.15: Topographic Deep Artificial Neural Networks (TDANNs) predict face selectivity topography in primate inferior temporal (IT) cortex |
| Hyodong Lee; Massachusetts Institute of Technology |
| James DiCarlo; Massachusetts Institute of Technology |
| PS-2A.16: A Large Scale Multi-Label Action Dataset for Video Understanding |
| Mathew Monfort; MIT |
| Kandan Ramakrishnan; MIT |
| Dan Gutfreund; IBM Research and MIT-IBM Watson AI Lab |
| Aude Oliva; MIT |
| PS-2A.17: High-Level Features Organize Perceived Action Similarities |
| Leyla Tarhan; Harvard University |
| Talia Konkle; Harvard University |
| PS-2A.18: Intuitive Physical Inference from Sound |
| James Traer; Massachusetts Inst. of Technology |
| Josh McDermott; Massachusetts Inst. of Technology |
| PS-2A.19: Combining Convolutional Neural Networks and Cognitive Models to Predict Novel Object Recognition in Humans |
| Jeffrey Annis; Vanderbilt University |
| Thomas Palmeri; Vanderbilt University |
| PS-2A.20: Decision by Sampling Implements Efficient Coding of Psychoeconomic Functions |
| Rahul Bhui; Harvard University |
| Samuel J Gershman; Harvard University |
| PS-2A.21: The neurocomputational mechanisms of human sequential decision making under uncertainty in a spatial search task |
| Dirk Ostwald; Freie Universität Berlin |
| Lilla Horvath; Freie Universität Berlin |
| PS-2A.22: Spectral Power Variation Separates Oscillatory from Non-Oscillatory Stochastic Neural Dynamics |
| Richard Gao; University of California, San Diego |
| Lauren Liao; University of California, San Diego |
| Bradley Voytek; University of California, San Diego |
| PS-2A.23: Worminator: A platform to enable bio-inspired (C. elegans) robotics |
| Raphael Norman-Tenazas; Johns Hopkins University Applied Physics Laboratory |
| Jordan Matelsky; Johns Hopkins University Applied Physics Laboratory |
| Kapil Katyal; Johns Hopkins University Applied Physics Laboratory |
| Erik Johnson; Johns Hopkins University Applied Physics Laboratory |
| William Gray-Roncal; Johns Hopkins University Applied Physics Laboratory |
| PS-2A.24: The role of textural statistics vs. outer contours in deep CNN and neural responses to objects |
| Bria Long; Stanford University |
| Talia Konkle; Harvard University |
| PS-2A.25: Linking neural representations for decision-making between monkey and human cortex |
| Paula Kaanders; University of Oxford |
| Hamed Nili; University of Oxford |
| Tim Behrens; University of Oxford |
| Laurence Hunt; University of Oxford |
| PS-2A.26: Learning Simple Computations in Dynamical Systems by Example |
| Jason Kim; University of Pennsylvania |
| Danielle Bassett; University of Pennsylvania |
| PS-2A.27: Combining Biological and Artificial Approaches to Understand Perceptual Spaces for Categorizing Natural Acoustic Signals |
| Marvin Thielk; University of California San Diego |
| Tim Sainburg; University of California San Diego |
| Tatyana Sharpee; Salk Institute |
| Timothy Gentner; University of California San Diego |
| PS-2A.28: Emergence of Topographical Correspondences between Deep Neural Network and Human Ventral Visual Cortex |
| Yalda Mohsenzadeh; Massachusetts Institute of Technology |
| Caitlin Mullin; Massachusetts Institute of Technology |
| Dimitrios Pantazis; Massachusetts Institute of Technology |
| Aude Oliva; Massachusetts Institute of Technology |
| PS-2A.29: Evidence for chunking vs. statistical learning in motor sequence production |
| Nicola J. Popp; University of Western Ontario |
| Neda Kordjaz; University of Western Ontario |
| Paul Gribble; University of Western Ontario |
| Jörn Diedrichsen; University of Western Ontario |
| PS-2A.30: Natural Sound Statistics Predict Auditory Grouping Principles |
| Wiktor Mlynarski; Massachusetts Institute of Technology |
| Josh McDermott; Massachusetts Institute of Technology |
| PS-2A.32: Constructing neural-level models of behavior in working memory tasks |
| Zoran Tiganj; Boston University |
| Nathanael Cruzado; Boston University |
| Marc W. Howard; Boston University |
| PS-2A.33: Representational dynamics in the human ventral stream captured in deep recurrent neural nets |
| Tim C Kietzmann; University of Cambridge |
| Courtney J Spoerer; University of Cambridge |
| Lynn Sörensen; University of Amsterdam |
| Olaf Hauk; University of Cambridge |
| Radoslaw M Cichy; Freie Universität Berlin |
| Nikolaus Kriegeskorte; Columbia University |
| PS-2A.34: Beware of the beginnings: intermediate and higher-level representations in deep neural networks are strongly affected by weight initialization |
| Johannes Mehrer; University of Cambridge |
| Nikolaus Kriegeskorte; Columbia University |
| Tim C. Kietzmann; University of Cambridge |
| PS-2A.35: Neural mechanisms of human decision-making |
| Kai Krueger; eCortex Inc |
| Seth Herd; eCortex Inc |
| Ananta Nair; eCortex Inc |
| Jessica Mollick; Yale University |
| Randall O'Reilly; University of Colorado Boulder |
| PS-2A.36: Modeling Hippocampal-Cortical Dynamics During Event Processing |
| Qihong Lu; Princeton University |
| Uri Hasson; Princeton University |
| Kenneth Norman; Princeton University |
| PS-2A.37: A dataset and architecture for visual reasoning with a working memory |
| Guangyu Robert Yang; Columbia University |
| Igor Ganichev; Google |
| Xiao-Jing Wang; New York University |
| Jonathon Shlens; Google |
| David Sussillo; Google |
| PS-2A.38: Auditory letter-name processing elicits crossmodal representations in blind listeners |
| Santani Teng; Smith-Kettlewell Eye Research Institute |
| Verena Sommer; Max Planck Institute for Human Development |
| Radoslaw Cichy; Free University of Berlin |
| Dimitrios Pantazis; Massachusetts Institute of Technology |
| Aude Oliva; Massachusetts Institute of Technology |
| PS-2A.39: Network constraints on learnability of probabilistic motor sequences |
| Ari E. Kahn; University of Pennsylvania |
| Elisabeth A. Karuza; University of Pennsylvania |
| Jean M. Vettel; U.S. Army Research Laboratory |
| Danielle S. Bassett; University of Pennsylvania |
| PS-2A.40: Mapping the Human Cerebellum |
| Maedbh King; University of California, Berkeley |
| Rich Ivry; University of California, Berkeley |
| Joern Diedrichsen; Western University |
| PS-2A.41: How are the statistics of object co-occurrence represented in human visual cortex? |
| Michael Bonner; University of Pennsylvania |
| Russell Epstein; University of Pennsylvania |
| PS-2A.42: Corticostriatal signatures of learning efficient internal models for control |
| Daniel McNamee; University of Cambridge |
| Matthew Botvinick; DeepMind |
| Samuel Gershman; Harvard University |
| PS-2A.43: Representations of 3D visual space in human cortex: Population receptive field models of position-in-depth |
| Julie Golomb; Ohio State University |
| PS-2A.44: Deep neural networks trained with heavier data augmentation learn features closer to representations in hIT |
| Alex Hernández-García; University of Osnabrück |
| Johannes Mehrer; University of Cambridge |
| Nikolaus Kriegeskorte; University of CambridgeColumbia University |
| Peter König; University of Osnabrück |
| Tim C. Kietzmann; University of Cambridge |
| PS-2A.45: Quantifying the effect of staining methods on extracted neuron morphology |
| Roozbeh Farhoodi; University of Pennsylvania |
| Benjamin Lansdell; University of Pennsylvania |
| Konrad Kording; University of Pennsylvania |
| PS-2A.46: Training Humans and Machines |
| Aki Nikolaidis; Child Mind Institute |