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Understanding Vision


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Table of Contents

1: Approach and Scope 2: A Very Brief Introduction of What is Known about Vision Experimentally 3: The Efficient Coding Principle 4: V1 and Information Coding 5: The V1 Hypothesis - creating a bottom up saliency map for preattentive selection and segmentation 6: Visual Recognition as Decoding 7: Epilogue

About the Author

Li Zhaoping obtained her Ph.D. in physics in 1989 from the California Institute of Technology. In 1998, she helped to found the Gatsby Computational Neuroscience Unit in University College London, where she is currently a professor in Computational Neuroscience in its computer science department.


[This book] demonstrates a beautifully logical approach that has been the hallmark of Zhaopings career and which more is needed of to carry the field forward. The preciseness of the mathematics avoids the confusion often entailed when talking about perception, and it is a great example of how models can provide clear insight into a complex biological system. * Szonya Durant, Perception *

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