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Choice (03/01/2013): Those who are curious about how perception works--specifically, about how the nervous system uses the rather poor quality two-dimensional images in the eyes to produce the three-dimensional, colorful, dynamic, and beautiful experience known as vision--will appreciate this book. Stone (psychology, Univ. of Sheffield, UK) provides a briefer, less...
Those who are curious about how perception works--specifically, about how the nervous system uses the rather poor quality two-dimensional images in the eyes to produce the three-dimensional, colorful, dynamic, and beautiful experience known as vision--will appreciate this book. Stone (psychology, Univ. of Sheffield, UK) provides a briefer, less technical introduction to computational visual science than he did in Seeing: The Computational Approach to Biological Vision (2nd ed., CH, Mar'11, 48-3852), which he coauthored with J. P. Frisby. Stone retains the rigor and clarity of writing that characterizes the earlier work. The research he describes here shows how such features as contour orientation, motion, contrast, texture, color, brightness, and depth can be analyzed somewhat independently. The reader will learn not only about visual science but also much about theoretical and empirical neuroscience in general. Some topics--e.g., Bayes' theorem, push-pull amplification, and Fourier analysis--could have been expanded, but if this brevity tempts readers to delve a little deeper, that would be a good thing. The book is richly illustrated, and the illustrations are extremely helpful and often surprising and entertaining. Summing Up: Highly recommended. All readers. -- R. H. Cormack, New Mexico Institute of Mining and Technology (Reprinted with permission of Choice, copyright 2013, American Library Association)
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 "
Includes bibliographical references and index.
In this accessible and engaging introduction to modern vision science, James Stone uses visual illusions to explore how the brain sees the world. 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.
Choice 03/01/2013 (EAN 9780262517737, Paperback)
Contributor Bio: Stone, James V
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).