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Abstract:
This book explains computational principles and models of biological visual processing, in particular, of primate vision. Vision scientists unfamiliar with mathematical details should be able to conceptually follow the theoretical principles and their relationship with physiological, anatomical, and psychological observations, without going through the more mathematical pages. For readers with a physical science background, especially those from machine vision, this book serves as an analytical introduction to biological vision. It can be used as a textbook or a reference book in a vision course, or a computational neuroscience course, for graduate students or advanced undergraduate students. It is also suitable for self-learning by motivated readers. For readers with a focused interest in just one of the topics in the book, it is feasible to read just the chapter on this topic without having read or fully comprehended the other chapters. In particular, Chapter 2 is a brief overview of experimental observations on biological vision, Chapter 3 is on encoding of visual inputs, Chapter 5 is on visual attentional selection driven by sensory inputs, and Chapter 6 is on visual perception or decoding. There are many examples throughout the book to illustrate the application of computational principles to experimental observations.
