Brains as Engines of Association tackles a fundamental question in neuroscience: what is the operating principle of the human brain? While a similar question has been asked and answered for virtually every other human organ during the last few centuries, how the brain operates has remained a central challenge in biology. Based on evidence derived from vision, audition, speech and music--much of it based on the author's own work over the last twenty years--Brains as Engines of Association argues that brains operate wholly on the basis of trial and error experience, encoded in neural circuitry over evolutionary and individual time. This concept of neural function runs counter to current concepts that view the brain as a computing machine, and research programs based on the idea that the only way to answer such questions is by reconstructing the connectivity of brains in their entirety. This view also implies that the best way to understand the details of brain function is to recapitulate their history using artificial neural networks. While this viewpoint has received support in the last few years from work showing that computers can win complex games, the brain plays a much more complex game--the "game" of biological survival--which Purves concludes is based on trial-and-error experience.

Brains as Engines of Association: An Operating Principle for Nervous Systems

Computers & Technology

Purves, Dale

Programming

Oxford University Press

The First Edition of this provocative book reviewed a broad range of evidence leading to the conclusion that the visual system does not reveal the physical world by an analysis of retinal images and their representation by the visual system. Rather, what we see is based on the history of the species and the individual as a means of contending with the inherent uncertainty of light stimuli. It follows that visual perceptions are reflexive manifestations of past behavioral success rather than the result of a logical processing of present stimuli. These ideas were met with considerable skepticism. To quote from the preface of this new edition: "Although the ideas and evidence about the genesis of what we see in the First Edition were appreciated in some quarters, the reception in others was distinctly cool. Given the opinion of some critics that the wholly empirical concept of vision we proposed was either unbelievable or incomprehensible, we felt duty bound to try again. Our objective was, and remains, to present a different and seemingly inevitable framework for understanding perception and its underlying neural mechanisms. We hope this new edition will encourage more readers to consider this concept of vision and its implications for interpreting, modeling, and ultimately understanding the structure and function of the human visual system." This refinement and expansion of the argument in the First Edition, supported with much new evidence gathered over the last seven years, has far-reaching consequences not only for understanding vision but brain function generally. The book is written in a way that is understandable by individuals with little or no background in neuroscience, with chapter introductions and summaries that make the overall argument easy to follow. The book includes over 400 bibliographic citations, a complete glossary, and a primer on the organization of the visual system as an appendix.

Why We See What We Do Redux: A Wholly Empirical Theory of Vision

Science & Math

Lotto, Beau R.

Behavioral Sciences

Sinauer Associates is an imprint of Oxford University Press

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.

Why We See What We Do: An Empirical Theory of Vision

Health, Fitness & Dieting

Lotto, R. Beau

Diseases & Physical Ailments

Sinauer Associates Inc

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