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Why We See What We Do: An Empirical Theory of Vision
 
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Why We See What We Do: An Empirical Theory of Vision [Paperback]

Dale Purves (Author), R. Beau Lotto (Author)
5.0 out of 5 stars  See all reviews (2 customer reviews)


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Book Description

January 1, 2003 0878937528 978-0878937523 1
This provocative book reviews a broad range of evidence leading to the conclusion that the visual system is not organized to generate a veridical representation of the physical world, but rather a statistical reflection of the visual history of the species and the individual observer. Thus, what humans actually see is a reflexive manifestation of past rather than a logical analysis of the present. The idea that the images we consciously entertain represent the historical significance of visual stimuli follows from the inability to decipher ambiguous retinal information analytically, and has far-reaching consequences not only for vision but brain function generally. The immediate benefit of this approach is that it provides a framework by which to understand a variety of fundamental visual illusions that are otherwise difficult, if not impossible, to explain.

With its straightforward style, Why We See What We Do can be understood by individuals with little or no background in neuroscience or vision. It includes chapter introductions and summaries that make the overall argument easy to follow, over 400 bibliographic citations, and a complete glossary.



Editorial Reviews

Review

" ... will remind vision researchers of James Gibson's and David Marr's seminal efforts, and it may prove as influential." -- —Vincent A. Billock, Science

"... brings [the problem] to life using a series of computer-generated illustrations that delight the eye and edify the mind." --—Nature Neuroscience

"... they bring [the problem] to life using a series of computer-generated illustrations that delight the eye and edify the mind." --Nature Neuroscience

About the Author

Dale Purves is the George Barth Geller Professor for Research in Neurobiology, Professor of Psychological and Brain Sciences, and Chairman of the Department of Neurobiology at Duke University Medical Center. He earned his B.A. from Yale University and his M.D. from Harvard Medical School. His previously published books include: Principles of Neural Development (with J. W. Lichtman, Sinauer Associates, 1985); Body and Brain: A Trophic Theory of Neural Connections (Harvard University Press, 1988); Neural Activity and the Growth of the Brain (Cambridge University Press, 1994); and two editions of Neuroscience (written with collaborators at Duke, Sinauer Associates, 1997 and 2001). The focus of research in the Purves laboratory is visual perception and its neurobiological underpinnings, and, more recently, the neurobiological basis of music.

R. Beau Lotto is a Lecturer at University College London in the Institute of Ophthalmology's Vision Research Department. He earned a B.S. from the University of California, Berkeley and a Ph.D. in developmental neuroscience from Edinburgh University Medical School. Research in the Lotto laboratory combines ecological, behavioral, and computational neuroscience to investigate the general principles that describe the causal relationship between the past (experience) and the present (adaptation) in biological systems, focusing primarily on the enigmatic realm of color perception and behavior.


Product Details

  • Paperback: 260 pages
  • Publisher: Sinauer Associates; 1 edition (January 1, 2003)
  • Language: English
  • ISBN-10: 0878937528
  • ISBN-13: 978-0878937523
  • Product Dimensions: 9.2 x 7 x 0.7 inches
  • Shipping Weight: 1.2 pounds
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #1,854,176 in Books (See Top 100 in Books)

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13 of 13 people found the following review helpful:
5.0 out of 5 stars Well worth a look, June 5, 2006
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This review is from: Why We See What We Do: An Empirical Theory of Vision (Paperback)
The book's thesis is as follows: "The problem [of vision] is solved by having retinal stimuli trigger reflex responses... that have been determined purely by behavioral consequences of interactions with the environment over time. As a result, what observers actually experience in response to any visual stimulus is its accumulated statistical meaning... In short, the observer sees the probability distribution of the possible sources of the visual stimulus." There are two reviews of this book that are highly critical of its thesis. They are well worth reading. One is by Alan Gilchrist (Nature Neuroscience, 2003), and the other is by David Burr (J. Cognitive Neuroscience, 2005). I find myself agreeing with many of their criticisms of the central thesis, but...

I gave the book 5 stars anyway. (1) Each chapter's discussion of the basic problems of vision is clear and concise. (2) The artwork, and what it demonstrates, is well worth the price of admission. For instance, the illustrations of color perception and reflective surfaces are beautiful and powerful. The illustrations are simply phenomenal. (3) Perhaps the authors are re-inventing the wheel or kicking dead horses, but I'm just not so sure... The authors have forced me to re-think some ideas about vision that I've held for a long time. And I think they do a nice job of taking some truly old and cartoonish ideas about vision and relegating them to the dust heap. Even if their "empirical" theory of vision seems flawed or incomplete, there's much about it that I find myself wanting to re-visit and mull over. And if I'm not mistaken, various recent findings regarding the statistics of natural images are, independently, providing considerable evidence for the authors' thesis.
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1 of 1 people found the following review helpful:
5.0 out of 5 stars A Paradigm Shift!!, August 15, 2007
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Mark Dubin (Boulder, CO USA) - See all my reviews
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This review is from: Why We See What We Do: An Empirical Theory of Vision (Paperback)
This book describes a fundamental shift in understanding how the visual system makes sense of what is seen. It is a must read for those interested in perception and in information processing by the brain. There has been much recent research supporting its hypotheses. The book signals a shift away from a mechanistic machine-like image reconstruction by the brain to a more intuitive and empirical model based on what we actually see.
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