Using Noise to Characterize Vision (Record no. 78680)

MARC details
000 -LEADER
fixed length control field 03954naaaa2200361uu 4500
001 - CONTROL NUMBER
control field https://directory.doabooks.org/handle/20.500.12854/61795
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220220092844.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-2-88919-753-8
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9782889197538
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.3389/978-2-88919-753-8
Terms of availability doi
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title English
042 ## - AUTHENTICATION CODE
Authentication code dc
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Remy Allard
Relationship auth
245 10 - TITLE STATEMENT
Title Using Noise to Characterize Vision
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Frontiers Media SA
Date of publication, distribution, etc. 2016
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic resource (127 p.)
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
Source of term star
Standardized terminology for access restriction Unrestricted online access
520 ## - SUMMARY, ETC.
Summary, etc. Noise has been widely used to investigate the processing properties of various visual functions (e.g. detection, discrimination, attention, perceptual learning, averaging, crowding, face recognition), in various populations (e.g. older adults, amblyopes, migrainers, dyslexic children), using noise along various dimensions (e.g. pixel noise, orientation jitter, contrast jitter). The reason to use external noise is generally not to characterize visual processing in external noise per se, but rather to reveal how vision works in ordinary conditions when performance is limited by our intrinsic noise rather than externally added noise. For instance, reverse correlation aims at identifying the relevant information to perform a given task in noiseless conditions and measuring contrast thresholds in various noise levels can be used to understand the impact of intrinsic noise that limits sensitivity to noiseless stimuli. Why use noise? Since Fechner named it, psychophysics has always emphasized the systematic investigation of conditions that break vision. External noise raises threshold hugely and selectively. In hearing, Fletcher used noise in his famous critical-band experiments to reveal frequency-selective channels in hearing. Critical bands have been found in vision too. More generally, the big reliable effects of noise give important clues to how the system works. And simple models have been proposed to account for the effects of visual noise. As noise has been more widely used, questions have been raised about the simplifying assumptions that link the processing properties in noiseless conditions to measurements in external noise. For instance, it is usually assumed that the processing strategy (or mechanism) used to perform a task and its processing properties (e.g. filter tuning) are unaffected by the addition of external noise. Some have suggested that the processing properties could change with the addition of external noise (e.g. change in filter tuning or more lateral masking in noise), which would need to be considered before drawing conclusions about the processing properties in noiseless condition. Others have suggested that different processing properties (or mechanisms) could be solicited in low and high noise conditions, complicating the characterization of processing properties in noiseless condition based on processing properties identified in noise conditions. The current Research Topic probes further into what the effects of visual noise tell us about vision in ordinary conditions. Our Editorial gives an overview of the articles in this special issue.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction Creative Commons
Use and reproduction rights https://creativecommons.org/licenses/by/4.0/
Source of term cc
-- https://creativecommons.org/licenses/by/4.0/
546 ## - LANGUAGE NOTE
Language note English
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Linear amplifier model
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Contrast jitter
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Noise
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term perceptual template model
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term bandpass noise
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Equivalent input noise
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term noise image classification
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term phase noise
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Jocelyn Faubert
Relationship auth
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Denis G. Pelli
Relationship auth
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="http://journal.frontiersin.org/researchtopic/1423/using-noise-to-characterize-vision">http://journal.frontiersin.org/researchtopic/1423/using-noise-to-characterize-vision</a>
Access status 0
Public note DOAB: download the publication
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://directory.doabooks.org/handle/20.500.12854/61795">https://directory.doabooks.org/handle/20.500.12854/61795</a>
Access status 0
Public note DOAB: description of the publication

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