Computational and Cognitive Neuroscience of Vision

1. Front Matter

   Pages i-vii

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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 Kamiński, 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

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.

• 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

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

  Qi Zhao

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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