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Computational and Cognitive Neuroscience of Vision

  • Book
  • © 2017

Overview

Editors:
  1. Qi Zhao

    1. Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore

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  • Provides a systematic and comprehensive overview of vision from various perspectives
  • Addresses the barrier between vision research and integrative research on cognition
  • Links multiple visual cognition disciplines and highlights the impact this can have on technological innovations
  • Written by leading experts in the field
  • Includes supplementary material: sn.pub/extras

Part of the book series: Cognitive Science and Technology (CSAT)

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Table of contents (13 chapters)

  1. Front Matter

    Pages i-vii
    Download chapter PDF

  2. Neural Mechanisms of Saliency, Attention, and Orienting

    • Brian J. White, Douglas P. Munoz
    Pages 1-23

  3. Insights on Vision Derived from Studying Human Single Neurons

    • Jan KamiÅ„ski, Ueli Rutishauser
    Pages 25-39

  4. Recognition of Occluded Objects

    • Hanlin Tang, Gabriel Kreiman
    Pages 41-58

  5. Towards a Theory of Computation in the Visual Cortex

    • David A. Mély, Thomas Serre
    Pages 59-84

  6. Invariant Recognition Predicts Tuning of Neurons in Sensory Cortex

    • Jim Mutch, Fabio Anselmi, Andrea Tacchetti, Lorenzo Rosasco, Joel Z. Leibo, Tomaso Poggio
    Pages 85-104

  7. Speed Versus Accuracy in Visual Search: Optimal Performance and Neural Implementations

    • Bo Chen, Pietro Perona
    Pages 105-140

  8. The Pupil as Marker of Cognitive Processes

    • Wolfgang Einhäuser
    Pages 141-169

  9. Social Saliency

    • Shuo Wang, Ralph Adolphs
    Pages 171-193

  10. Vision and Memory: Looking Beyond Immediate Visual Perception

    • Cheston Tan, Stephane Lallee, Bappaditya Mandal
    Pages 195-219

  11. Approaches to Understanding Visual Illusions

    • Chun Siong Soon, Rachit Dubey, Egor Ananyev, Po-Jang Hsieh
    Pages 221-233

  12. Impact of Neuroscience in Robotic Vision Localization and Navigation

    • Christian Siagian, Laurent Itti
    Pages 235-276

  13. Attention and Cognition: Principles to Guide Modeling

    • John K. Tsotsos
    Pages 277-295

  14. Computational Neuroscience of Vision: Visual Disorders

    • Clement Tan
    Pages 297-315
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Keywords

About this book

Despite a plethora of scientific literature devoted to vision research and the trend toward integrative research, the borders between disciplines remain a practical difficulty. To address this problem, this book provides a systematic and comprehensive overview of vision from various perspectives, ranging from neuroscience to cognition, and from computational principles to engineering developments. It is written by leading international researchers in the field, with an emphasis on linking multiple disciplines and the impact such synergy can lead to in terms of both scientific breakthroughs and technology innovations.  It is aimed at active researchers and interested scientists and engineers in related fields.

Editors and Affiliations

  • Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore

    Qi Zhao

About the editor

Dr. Catherine Qi Zhao is an assistant professor in the Department of Computer Science and Engineering at the University of Minnesota, Twin Cities. She obtained her Ph.D. from the University of California, Santa Cruz, followed by postdoctoral training at the California Institute of Technology. Prior to joining the University of Minnesota, she was an assistant professor in the Department of Electrical and Computer Engineering and the Department of Ophthalmology at the National University of Singapore, and the principal investigator at the Visual Information Processing Lab. Her main research interests include computational vision, machine learning, cognitive neuroscience, and mental disorders.

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