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Visual Pattern Analyzers$
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Norma Van Surdam Graham

Print publication date: 1989

Print ISBN-13: 9780195051544

Published to Oxford Scholarship Online: January 2008

DOI: 10.1093/acprof:oso/9780195051544.001.0001

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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 20 January 2022

Results of Parametric Experiments

Results of Parametric Experiments

Chapter:
(p.504) 13 Results of Parametric Experiments
Source:
Visual Pattern Analyzers
Author(s):

Norma van Surdam Graham

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195051544.003.0013

Parametric experiments measure an observer's contrast sensitivity as a function of value along any dimension. These parametric experiments are not very useful for distinguishing between single-analyzer and multiple-analyzer models, nor do they give useful information about the peak sensitivities of multiple analyzers or the sensitivity function of individual analyzers. Rather, these experiments tell us about the overall (envelope) sensitivity of the whole set of multiple analyzers. This chapter describes parametric contrast sensitivity on the seventeen visual pattern dimensions. Two issues in the chapter are of particular theoretical interest: the description of sensitivity changes with spatial position in the visual field (size-scaling models, cortical magnification factors) and with mean luminance (adaptation, constant-flux models). A list of references to parametric experiments organized by visual pattern dimension is presented.

Keywords:   contrast sensitivity, spatial frequency, spatial position, motion, cortical magnification, size-scaling models, adaptation, constant-flux models

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