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Computational and Cognitive Neuroscience of Vision

  • Qi Zhao

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

Table of contents

  1. Front Matter
    Pages i-vii
  2. Brian J. White, Douglas P. Munoz
    Pages 1-23
  3. Jan Kamiński, Ueli Rutishauser
    Pages 25-39
  4. Hanlin Tang, Gabriel Kreiman
    Pages 41-58
  5. David A. Mély, Thomas Serre
    Pages 59-84
  6. Jim Mutch, Fabio Anselmi, Andrea Tacchetti, Lorenzo Rosasco, Joel Z. Leibo, Tomaso Poggio
    Pages 85-104
  7. Wolfgang Einhäuser
    Pages 141-169
  8. Shuo Wang, Ralph Adolphs
    Pages 171-193
  9. Cheston Tan, Stephane Lallee, Bappaditya Mandal
    Pages 195-219
  10. Chun Siong Soon, Rachit Dubey, Egor Ananyev, Po-Jang Hsieh
    Pages 221-233
  11. Christian Siagian, Laurent Itti
    Pages 235-276

About this book

Introduction

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.

Keywords

Artificial Visual Systems Brain Mapping Cognitive Vision Computational Neuroscience/vision Human Computer Interaction Neuromorphic Visual Models/Systems Neurotechnology Vision and Statistical Learning Visual Biological Systems Visual Disorders/perceptions

Editors and affiliations

  • Qi Zhao
    • 1
  1. 1.Electrical and Computer EngineeringNational University of SingaporeSingaporeSingapore

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-10-0213-7
  • Copyright Information Springer Science+Business Media Singapore 2017
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering
  • Print ISBN 978-981-10-0211-3
  • Online ISBN 978-981-10-0213-7
  • Series Print ISSN 2195-3988
  • Series Online ISSN 2195-3996
  • Buy this book on publisher's site
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