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Why We See What We Do Redux: A Wholly Empirical Theory of Vision by Dale Purves 9780878935963

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Description

When we look at an object, do we see what's really there? In this follow-up to the highly provocative Why We See What We Do, D. Purves and R. Beau Lotto argue that visual perceptions are reflexive manifestations of past behavioural success, rather than the result of a logical processing of present stimuli. The authors draw on a wealth of new evidence to support their argument, while retaining the clarity and energy that made the first edition so popular. Packed with diagrams and real-life examples, this text can be understood by those who are new to the subject as well as more advanced readers, making it an ideal resource for neuroscience and psychology students at any level.

About the Author
DALE PURVES is Professor in the Departments of Neurobiology, Psychology, and Brain Sciences, and Philosophy at Duke University, USA. After earning a B.A. from Yale, an M.D. from Harvard Medical School, and completing an assistant residency at Massachusetts General Hospital, Dr. Purves was a postdoctoral fellow in the Department of Neurobiology at Harvard Medical School and subsequently in the Department of Biophysics at University College London. He joined the faculty at Washington University School of Medicine in 1973, where he was Professor of Physiology and Biophysics, and came to Duke as the founding chair of the
Neurobiology Department in 1990. From 2003 to 2009 he was Director of Duke's Center for Cognitive Neuroscience. Dr. Purves is now Director of the Neuroscience and Behavioral Disorders Program of the Duke-NUS Graduate Medical School in Singapore. His research in recent years has sought to explain why we see and hear what we do. He was elected to the National Academy of Sciences in 1989 for his work on neural development and synaptic plasticity, and is a member of the American Academy of Arts and Sciences and the Institute of Medicine.

R. BEAU LOTTO is a Reader of Neuroscience at University College London, UK. He received his undergraduate degree at the University of California, Berkeley and a Ph.D. from the University of Edinburgh. Dr. Lotto's work spans studies of bees, humans, and machines that have led to public work installations and interactive/participatory performances. He has lectured on perception for general audiences in the Technology, Entertainment, and Design (TED) series, the RSA series, and the BBC. His 'Street Science' installations include a six-meter colored-glass tower called the Beacon on Old Street in London (see the book cover), an installation of light, glass, and bees for the Science Gallery in Dublin, and 'White Shadows,' an installation for the Hayward Gallery. Current projects include a perception-based education program for primary schools in the UK, a Glass Windmill for the Wellcome Trust, and the Vertical Orchestra with the London Sinfonietta. He is now launching a new Centre of Perception at London's
Science Museum, a research space that enables the public to be active participants and creators of scientific research. All these projects explore the ecological basis of the mind in the context of understanding why we see what we do.


Reviews
In their book, Purves and Lotto present a nontraditional perspective on understanding visual perception. It is comprehensive and provocative, and perhaps most important, provides a critical review of approaches to understanding visual perception that are based on the processing of representations or images. As a result, it is worth reading, especially by researchers who would like to reverse the trend of perception being given short shrift in vision research. One of the great strengths of the approach that Purves and Lotto develop is that it is consistent with recent theories of evolution and learning that stress the plasticity of the nervous system. * Jeffrey B. Wagman, PsycCRITIQUES *



Book Information
ISBN 9780878935963
Author Dale Purves
Format Paperback
Page Count 260
Imprint Oxford University Press Inc
Publisher Oxford University Press Inc

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