James V. Stone
Hello, I'm an eBook!
ATTENTION: This item is an eBook. It can be read on iOS, Android, MAC and PC's with a supported eReader. It is not a physical book. eBooks are available via download immediately after you've checked out.
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 provides a coherent account of vision, and 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.
Save up to 40% at the Bargain Bin. Learn more »
Gift Certificate = Happy Friend + Books donated to families in need Make Someone Happy »
We match every book you purchase with a book donation. Learn more »
Sign up now to get news, sales and special promotions!
© Better World Books (BetterWorldBooks.com)