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Vision and Brain: How We Perceive the World [Paperback]

James V. Stone

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Book Description

9 Oct 2012
In this accessible and engaging introduction to modern vision science, James Stone uses visual illusions to explore how the brain sees the world. Understanding vision, Stone argues, is not simply a question of knowing which neurons respond to particular visual features, but also requires a computational theory of vision. Stone draws together results from David Marr's computational framework, Barlow's efficient coding hypothesis, Bayesian inference, Shannon's information theory, and signal processing to construct a coherent account of vision that explains not only how the brain is fooled by particular visual illusions, but also why any biological or computer vision system should also be fooled by these illusions. This short text includes chapters on the eye and its evolution, how and why visual neurons from different species encode the retinal image in the same way, how information theory explains color aftereffects, how different visual cues provide depth information, how the imperfect visual information received by the eye and brain can be rescued by Bayesian inference, how different brain regions process visual information, and the bizarre perceptual consequences that result from damage to these brain regions. The tutorial style emphasizes key conceptual insights, rather than mathematical details, making the book accessible to the nonscientist and suitable for undergraduate or postgraduate study.

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More About the Author

Dr James V Stone is a Reader in Vision and Computational Neuroscience at the University of Sheffield, England.

Ebooks, sample book chapters, MatLab code and Python code can be downloaded from here:
http://jim-stone.staff.shef.ac.uk/papers_published.html
His web site is: http://jim-stone.staff.shef.ac.uk/

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Review

Stone has done an excellent job of bringing together many pieces of the visual puzzle, and showing the bigger picture in an engaging, concise, and accessible way for any audience of readers, be they undergraduate or postgraduate. -- Paul Hands Perception

About the Author

James V. Stone is a Reader in the Psychology Department of the University of Sheffield. He is coauthor (with John P. Frisby) of the widely used text Seeing: The Computational Approach to Biological Vision (second edition, MIT Press, 2010), and author of Independent Component Analysis: A Tutorial Introduction (MIT Press, 2004).

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Front Cover | Copyright | Table of Contents | Excerpt | Index
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Amazon.com: 2.5 out of 5 stars  2 reviews
1 of 2 people found the following review helpful
1.0 out of 5 stars do not buy kindle edition if you're using Android or Windows 8 14 Feb 2014
By T. Flynn - Published on Amazon.com
Format:Kindle Edition|Verified Purchase
This book isn't compatible with those formats. Anyone know how to return a kindle book? because this is useless to me.
0 of 2 people found the following review helpful
4.0 out of 5 stars Vision: what is now known 14 Jun 2013
By R. Kuehni - Published on Amazon.com
Format:Paperback|Verified Purchase
In science mathematical modeling is considered the (often temporarily) final step in the explanatory process. Based on empirical data an explanatory hypothesis is developed and supported by a mathematical model of the process. If the model is found applicable under various conditions it is considered a valid (if perhaps not the only) explanation for a particular process in this world. Somewhat detailed mathematical models of vision and, in particular, color vision have been initiated in the second half of the 19th century. With the developments in neurobiology in the last 20 years much more has been learned about how stimuli entering the eye are processed in the brain. Much of this is related to the phenomenon called consciousness about which the millennia-old philosophical controversies continue unabated. In "Vision and Brain" Stone presents a useful, well-referenced state-of-of-the-art picture of the developments in the general field of vision, showing that human vision is a highly efficient guessing machine about what is in front of our face. That all the details of these processes have not yet been resolved is due mainly to the huge complexity of the processing in the brain. The book can be recommended as a mid-level introduction to these complexities and what is so far known about them in regard to vision. For this reader the only disappointment was that of the 224 pages of text in the book only 24 are devoted to color.
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