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Perception beyond Inference: The Information Content of Visual Processes

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Proposing a new paradigm for perceptual science that goes beyond standard information theory and digital computation. This book breaks with the conventional model of perception that views vision as a mere inference to an objective reality on the basis of "inverse optics." The authors offer the alternative view that perception is an expressive and awareness-generating process. Perception creates semantic information in such a way as to enable the observer to deal efficaciously with the chaotic and meaningless structure present at the physical boundary between the body and its surroundings. Vision is intentional by its very nature; visual qualities are essential and real, providing an aesthetic and meaningful interface to the structures of physics and the state of the brain. This view brings perception firmly in line with ethology and modern evolutionary biology and suggests new approaches in all disciplines that study, or require an understanding of, the ontology of mind.The book is the joint effort of a multidisciplinary group of authors. Topics covered include the relationships among stimuli, neuronal processes, and visual awareness. After considering the mind-dependent growing of information, the book treats time and dynamics; color, shape, and space; language and perception; perception, art, and design.OCLC-licensed vendor bibliographic record.

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Detail Information

Series Title

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Call Number

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Publisher

Cambridge, Massachusetts : The MIT Press., 2011

Collation

1 online resource (ix, 445 pages) :illustrations

Language

English

ISBN/ISSN

9780262295550

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Visual perception.
Cognitive neuroscience.

Specific Detail Info

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Statement of Responsibility

Edited by Liliana Albertazzi, Gert J. van Tonder, Dhanraj Vishwanath

Other Information

Cataloger

Citra

Source

https://direct.mit.edu/books/edited-volume/3337/Perception-beyond-InferenceThe-Information-Content

Validator

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Digital Object Identifier (DOI)

https://doi.org/10.7551/mitpress/8594.001.0001

Journal Volume

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Journal Issue

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Subtitle

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