PS-1B: Poster Session 1B |
| Session Type: Poster |
| Time: Thursday, September 6, 18:45 - 20:45 |
| Location: Symphony/Overture |
| PS-1B.1: Decomposing spatial conflict BOLD activation using a drift-diffusion model framework |
| James McIntosh; Columbia University |
| Paul Sajda; Columbia University |
| PS-1B.2: A Procedural Roadblock to Mechanistic Understanding of Neural Circuits |
| Venkat Ramaswamy; National Centre for Biological Sciences |
| PS-1B.3: Decision-making through evidence integration at long timescales |
| Michael Waskom; New York University |
| Roozbeh Kiani; New York University |
| PS-1B.4: Predicting memory performance using a joint model of brain and behavior |
| David Halpern; New York University |
| Shannon Tubridy; New York University |
| Lila Davachi; New York University |
| Todd Gureckis; New York University |
| PS-1B.5: Neural and computational dissociations between objects, scenes, and near-scale reachspaces |
| Emilie Josephs; Harvard University |
| Talia Konkle; Harvard University |
| PS-1B.6: Modeling the effects of temporal context on neural responses across the cortical hierarchy |
| Hsiang-Yun Chien; Johns Hopkins University |
| Christopher Honey; Johns Hopkins University |
| PS-1B.7: Gaussian Process Models Characterize Other-Regarding Strategies Over Multiple Timescales in a Dynamic Social Game |
| Kelsey McDonald; Duke University |
| William F. Broderick; New York University |
| Scott Huettel; Duke University |
| John Pearson; Duke University |
| PS-1B.8: Improving Corticostriatal Parcellation Through Multilevel Bagging with PyBASC |
| Aki Nikolaidis; Child Mind Institute |
| Joshua Vogelstein; Johns Hopkins University |
| Pierre Bellec; University of Montreal |
| Michael Milham; Child Mind Institute |
| PS-1B.9: Performance Optimization is Insufficient for Building Accurate Models for Neural Representation |
| Jonathan Yu; Princeton University |
| Qihong Lu; Princeton University |
| Uri Hasson; Princeton University |
| Kenneth Norman; Princeton University |
| Jonathan Pillow; Princeton University |
| PS-1B.10: Deep convolutional neural networks, features, and categories perform similarly at explaining primate high-level visual representations |
| Kamila Maria Jozwik; Massachusetts Institute of Technology and University of Cambridge |
| Nikolaus Kriegeskorte; Columbia University |
| Radoslaw Martin Cichy; Free University Berlin |
| Marieke Mur; University of Cambridge |
| PS-1B.11: Brain activity recorded during free viewing of naturalistic short films simultaneously reveals the brain representations of multiple feature spaces |
| Anwar Nunez-Elizalde; University of California, Berkeley |
| Fatma Deniz; University of California, Berkeley |
| James Gao; University of California, Berkeley |
| Jack Gallant; University of California, Berkeley |
| PS-1B.12: Learning long-range spatial dependencies with horizontal gated-recurrent units |
| Drew Linsley; Brown University |
| Junkyung Kim; Brown University |
| Vijay Veerabadran; Brown University |
| Thomas Serre; Brown University |
| PS-1B.13: Temporal structure of learning to regulate ventral tegmental area using real-time fMRI neurofeedback |
| Shabnam Hakimi; Duke University |
| Jeffrey MacInnes; University of Washington |
| Kathryn Dickerson; Duke University |
| Alison Adcock; Duke University |
| PS-1B.14: Deep Learning Classification Study of First-Episode Treatment-Naïve Schizophrenia Using Brain Cortical Area and Cognitive Features |
| Yinfei Li; West China Hospital |
| Tao Li; West China Hospital |
| PS-1B.15: Learning to attend in a brain-inspired deep neural network |
| Hossein Adeli; Stony Brook University |
| Gregory Zelinsky; Stony Brook University |
| PS-1B.16: Non-Computational Functionalism: Computation and the Function of Consciousness |
| Gualtiero Piccinini; University of Missouri - Saint Louis |
| PS-1B.17: Predicting Affective Cognitions in the Resting Adult Brain |
| Keith Bush; University of Arkansas for Medical Sciences |
| Anthony Privratsky; University of Arkansas for Medical Sciences |
| Clinton Kilts; University of Arkansas for Medical Sciences |
| PS-1B.18: How does motion affect material perception of deformable objects? |
| Wenyan Bi; American University |
| Hendrikje Nienborg; University of Tubingen |
| Bei Xiao; American University |
| PS-1B.19: The hippocampal formation facilitates social decision-making by transforming reference frames. |
| Raphael Kaplan; University College London |
| Karl Friston; University College London |
| PS-1B.20: Memory mechanisms predict sampling biases in sequential decision tasks |
| Marcelo Mattar; Princeton University |
| Deborah Talmi; University of Manchester |
| Nathaniel Daw; Princeton University |
| PS-1B.21: Uncovering mental and neural structure through data-driven ontology discovery |
| Ian Eisenberg; Stanford University |
| Patrick Bissett; Stanford University |
| A Zeynep Enkavi; Stanford University |
| Jamie Li; Stanford University |
| David MacKinnon; Arizona State University |
| Lisa Marsch; Dartmouth College |
| Russell Poldrack; Stanford University |
| PS-1B.22: A selective diffusion model of brain network activity |
| Daniel Graham; Hobart & William Smith Colleges |
| Yan Hao; Hobart & William Smith Colleges |
| PS-1B.23: Cortical feedback to superficial layers of V1 contains predictive scene information. |
| Andrew Morgan; University of Glasgow |
| Lucy Petro; University of Glasgow |
| Lars Muckli; University of Glasgow |
| PS-1B.24: Using features from deep neural networks to model human categorization of natural images |
| Ruairidh Battleday; University of California, Berkeley |
| Joshua Peterson; University of California, Berkeley |
| Thomas Griffiths; University of California, Berkeley |
| PS-1B.25: Decision-related activity & feature-selective attention: evidence for a common mechanism in macaque V2 |
| Katrina R Quinn; University of Tübingen |
| Stephane Clery; University of Tübingen |
| Paria Pourriahi; University of Tübingen |
| Hendrikje Nienborg; University of Tübingen |
| PS-1B.26: An Algorithm for Clustering Decision-Making Phenotypes from Behavioural Data |
| Abraham Nunes; Dalhousie University |
| Alexander Rudiuk; Dalhousie University |
| Thomas Trappenberg; Dalhousie University |
| PS-1B.27: Phoneme-level processing in low-frequency cortical responses to speech explained by acoustic features |
| Christoph Daube; University of Glasgow |
| Robin A. A. Ince; University of Glasgow |
| Joachim Gross; Westfälische Wilhelms-Universität |
| PS-1B.28: A variational image reconstruction algorithm reveals distortion and uncertainty in mental imagery |
| Thomas Naselaris; Medical University of South Carolina |
| PS-1B.29: Data-driven methods reveal the generalizing mechanisms of speech processing in naturally varying soundscapes |
| Moritz Boos; Applied Neurocognitive Psychology Lab |
| Jörg Lücke; Machine Learning Group |
| Jochem Rieger; Applied Neurocognitive Psychology Lab |
| PS-1B.30: Reevaluating revaluation: evidence for value construction during decision making |
| Akram Bakkour; Columbia University |
| Ariel Zylberberg; Columbia University |
| Michael Shadlen; Columbia University |
| Daphna Shohamy; Columbia University |
| PS-1B.31: A dynamical systems model of intrinsic and evoked activity, variability, and functional connectivity |
| Takuya Ito; Rutgers University |
| Brian Keane; Rutgers University |
| Ravi Mill; Rutgers University |
| Richard Chen; Rutgers University |
| Luke Hearne; Rutgers University |
| Katelyn Arnemann; Rutgers University |
| Biyu He; New York University |
| Horacio Rotstein; New Jersey Institute of Technology |
| Michael Cole; Rutgers University |
| PS-1B.32: Modeling human visual responses with a U-shaped deep neural network for motion flow-field estimation |
| Atsushi Wada; National Institute of Information and Communications Technology |
| Satoshi Nishida; National Institute of Information and Communications Technology |
| Hiroshi Ando; National Institute of Information and Communications Technology |
| Shinji Nishimoto; National Institute of Information and Communications Technology |
| PS-1B.33: Neurons of the prefrontal cortex encode a representation of a Bayesian belief during reinforcement learning |
| Ramon Bartolo; National Institutes Of Health |
| Richard Saunders; National Institutes Of Health |
| Andrew Mitz; National Institutes Of Health |
| Bruno Averbeck; National Institutes Of Health |
| PS-1B.34: Short-term Sequence Memory: Compressive effects of Recurrent Network Dynamics |
| Adam Charles; Princeton University |
| Han Lun Yap; DSO National Laboratories |
| Dong Yin; University of California, Berkeley |
| Christopher Rozell; Georgia Institute of Technology |
| PS-1B.35: Visualizing the global geometry of population representations of multiple visual object categories with spheres |
| Andrew David Zaharia; Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University |
| Alexander Walther; Realeyes |
| Nikolaus Kriegeskorte; Mortimer B. Zuckerman Mind Brain Behavior Institute, Columbia University |
| PS-1B.36: Unsupervised deep neural network for fMRI feedback modelling |
| Michele Svanera; University of Glasgow |
| Andrew T. Morgan; University of Glasgow |
| Lucy S. Petro; University of Glasgow |
| Lars Muckli; University of Glasgow |
| PS-1B.37: Oscillations in Stochastic Neural Computational Systems |
| Gary Engler; Stevens Institute of Technology |
| Michael Zabarankin; Stevens Institute of Technology |
| PS-1B.38: Brain age prediction for post-traumatic stress disorder patients with convolutional neural networks: a multi-modal neuroimaging study |
| Xin Niu; Drexel university |
| Hualou Liang; Drexel university |
| Fengqing Zhang; Drexel university |
| PS-1B.39: White Matter Network Architecture Guides Direct Electrical Stimulation Through Optimal State Transitions |
| Jennifer Stiso; University of Pennsylvania |
| Ankit Khambhati; University of Pennsylvania |
| Tommaso Menara; University of California Riverside |
| Ari Kahn; University of Pennsylvania |
| Joel Stein; University of Pennsylvania |
| Sandihitsu Das; University of Pennsylvania |
| Richard Gorniak; Jefferson University |
| Joseph Tracy; Jefferson University |
| Brian Litt; University of Pennsylvania |
| Kathryn Davis; University of Pennsylvania |
| Fabio Pasqualetti; University of California Riverside |
| Timothy Lucas; University of Pennsylvania |
| Danielle Bassett; University of Pennsylvania |
| PS-1B.40: The impact of noise correlation on multivariate pattern classification in fMRI |
| RUYUAN ZHANG; University of Minnesota |
| Kendrick Kay; University of Minnesota |
| PS-1B.41: A Perceptual Confirmation Bias from Approximate Online Inference |
| Richard Lange; University of Rochester |
| Ankani Chattoraj; University of Rochester |
| Matthew Hochberg; University of Rochester |
| Jeffrey Beck; Duke University |
| Jacob Yates; University of Rochester |
| Ralf Haefner; University of Rochester |
| PS-1B.42: Orientation selectivity and stimulus vignetting in human visual cortex |
| Zvi Roth; National Institutes of Health |
| David Heeger; New York University |
| Elisha Merriam; National Institutes of Health |
| PS-1B.43: Response Inhibition in Adolescents is Moderated by Brain Connectivity and Social Network Structure |
| Steven Tompson; U.S. Army Research Laboratory |
| Emily Falk; University of Pennsylvania |
| Jean Vettel; U.S. Army Research Laboratory |
| Danielle Bassett; University of Pennsylvania |
| PS-1B.44: Global-and-local attention networks for visual recognition |
| Drew Linsley; Brown University |
| Dan Shiebler; Twitter |
| Sven Eberhardt; Amazon |
| Thomas Serre; Brown University |
| PS-1B.45: Why is the fusiform face area recruited for other domains of expertise? |
| Garrison Cottrell; UCSD |