2018 Conference on Cognitive Computational Neuroscience

5-8 September 2018    Philadelphia, Pennsylvania

Videos from CCN 2018

  • CCN 2018 T-A: Computational Neuroscience - Maneesh Sahani

  • CCN 2018 T-B: Cognitive Science - Sam Gershman and Anne Collins

    Associated Content
    Sam Gershman Notes/Slides [Download]

    Associated Content
    Anne Collins Notes/Slides [Download]

  • CCN 2018 T-C: Artificial Intelligence - Danilo Rezende

  • CCN 2018: Opening Remarks (Konrad Kording)

  • CCN 2018 Keynote: Alison Gopnik

  • CCN 2018 Keynote: Ryan Adams

  • CCN 2018 GS-1.1: A Generative Model of People's Intuitive Theory of Emotions

    Sean Dae Houlihan, Max Kleiman-Weiner, Joshua Tenenbaum, Rebecca Saxe, Massachusetts Institute of Technology, United States

  • CCN 2018 GS-1.2: Neurocomputational Modeling of Human Physical Scene Understanding

    Ilker Yildirim, Kevin Smith, Mario Belledonne, Jiajun Wu, Joshua Tenenbaum, MIT, United States

  • CCN 2018 GS-2.1: Inferences about Uniqueness in Statistical Learning

    Anna Leshinskaya, Sharon L Thompson-Schill, University of Pennsylvania, United States

  • CCN 2018 GS-2.2: The Exploration-Exploitation Dilemma as a Tool for Studying Addiction

    Irene Cogliati Dezza, Xavier Noel, Axel Cleeremans, Université Libre de Bruxelles, Belgium; Angela Yu, University of California San Diego, United States

  • CCN 2018 GS-3.1: Understanding Action Prediction with Machine Learning and Psychophysics

    Emalie McMahon, National Institute of Mental Health, United States; Ray Gonzalez, Ken Nakayama, Harvard University, United States; Leslie G. Ungerleider, Maryam Vaziri-Pashkam, National Institute of Mental Health, United States

  • CCN 2018 GS-3.2: How sensory ecology affects the utility of planning

    Ugurcan Mugan, Malcolm A. MacIver, Northwestern University, United States

  • CCN 2018 Keynote: Josh McDermott

  • CCN 2018 GS-4.1: Auditory texture synthesis from task-optimized convolutional neural networks

    Jenelle Feather, Josh H. McDermott, Massachusetts Institute of Technology, United States

  • CCN 2018 GS-4.2: Learned context dependent categorical perception in a songbird

    Tim Sainburg, Marvin Thielk, Timothy Gentner, University of California San Diego, United States

  • CCN 2018 GS-5.1: Neural Population Control via Deep ANN Image Synthesis

    Pouya Bashivan, Kohitij Kar, James DiCarlo, MIT, United States

  • CCN 2018 GS-5.2: Unique and Early Contributions of Functional and Visual Features

    Michelle R. Greene, Bates College, United States; Bruce C. Hansen, Colgate University, United States

  • CCN 2018 GS-5.3: Familiarity Affects Early Perceptual Stages of Face Processing

    Katharina Dobs, Leyla Isik, Dimitrios Pantazis, Nancy Kanwisher, Massachusetts Institute of Technology, United States

  • CCN 2018 Keynote: Tim Lillicrap

  • CCN 2018 SE-CC: Challenges and Controversies - Hyo Gweon, Dan Yamins, Jack Gallant

  • CCN 2018 GS-6.1: Distinct Computational Models of Reading Correspond to Distinct but Similar

    William Graves, Rutgers University -- Newark, United States; Amulya Bidar Nataraj, Rutgers Business School, United States

  • CCN 2018 GS-6.2: Mapping the Dark Side: Visual Selectivity of Default Network Deactivations

    Tomas Knapen, Vrije Universiteit Amsterdam & Spinoza Centre, KNAW, Netherlands; Daan van Es, Vrije Universiteit Amsterdam, Netherlands

  • CCN 2018 Keynote: Eero Simoncelli

  • CCN 2018 GS-7.2: A framework for linking computations and rhythm-based timing patterns

    Edward Frady, Pentti Kanerva, Friedrich Sommer, UC Berkeley, United States

  • CCN 2018 Keynote: Danielle Bassett

  • CCN 2018: Final Words (Kendrick Kay)