Vision and brain : how we perceive the world
著者
書誌事項
Vision and brain : how we perceive the world
MIT Press, c2012
- : pbk
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注記
Includes bibliographical references (p. [229]-240) and index
収録内容
- Vision : an overview
- Eyes
- The neuronal machinery of vision
- The visual brain
- Depth : the rogue dimension
- The perfect guessing machine
- The colour of information
- A hole in the head
- Brains, computation, and cupcakes
内容説明・目次
内容説明
An engaging introduction to the science of vision that offers a coherent account of vision based on general information processing principles
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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