Detecting shapes in noise: tuning characteristics of global shape mechanisms

Gunnar Schmidtmann, Gael Gordon, David Bennett, Gunter Loffler

Research output: Contribution to journalArticle

Abstract

The proportion of signal elements embedded in noise needed to detect a signal is a standard tool for investigating motion perception. This paradigm was applied to the shape domain to determine how local information is pooled into a global percept. Stimulus arrays consisted of oriented Gabor elements that sampled the circumference of concentric radial frequency (RF) patterns. Individual Gabors were oriented tangentially to the shape (signal) or randomly (noise).
Original languageEnglish
Article numberPMC3655279
JournalFrontiers in Computational Neuroscience
Volume7
Issue number37
DOIs
Publication statusPublished - May 2013

Fingerprint

Noise
Motion Perception

Keywords

  • signal elements
  • motion perception
  • vision sciences
  • noise

Cite this

@article{c86d9f30b51246f4a2bfbe0abaeefef0,
title = "Detecting shapes in noise: tuning characteristics of global shape mechanisms",
abstract = "The proportion of signal elements embedded in noise needed to detect a signal is a standard tool for investigating motion perception. This paradigm was applied to the shape domain to determine how local information is pooled into a global percept. Stimulus arrays consisted of oriented Gabor elements that sampled the circumference of concentric radial frequency (RF) patterns. Individual Gabors were oriented tangentially to the shape (signal) or randomly (noise).",
keywords = "signal elements, motion perception, vision sciences, noise",
author = "Gunnar Schmidtmann and Gael Gordon and David Bennett and Gunter Loffler",
note = "No page numbers but article number appears to be PMC3655279. ET 18-11-13 Copyright {\circledC} 2013 Schmidtmann, Gordon, Bennett and Loffler. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.",
year = "2013",
month = "5",
doi = "10.3389/fncom.2013.00037",
language = "English",
volume = "7",
journal = "Frontiers in Computational Neuroscience",
issn = "1662-5188",
publisher = "Frontiers Media",
number = "37",

}

Detecting shapes in noise: tuning characteristics of global shape mechanisms. / Schmidtmann, Gunnar; Gordon, Gael; Bennett, David; Loffler, Gunter.

In: Frontiers in Computational Neuroscience, Vol. 7, No. 37, PMC3655279, 05.2013.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Detecting shapes in noise: tuning characteristics of global shape mechanisms

AU - Schmidtmann, Gunnar

AU - Gordon, Gael

AU - Bennett, David

AU - Loffler, Gunter

N1 - No page numbers but article number appears to be PMC3655279. ET 18-11-13 Copyright © 2013 Schmidtmann, Gordon, Bennett and Loffler. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.

PY - 2013/5

Y1 - 2013/5

N2 - The proportion of signal elements embedded in noise needed to detect a signal is a standard tool for investigating motion perception. This paradigm was applied to the shape domain to determine how local information is pooled into a global percept. Stimulus arrays consisted of oriented Gabor elements that sampled the circumference of concentric radial frequency (RF) patterns. Individual Gabors were oriented tangentially to the shape (signal) or randomly (noise).

AB - The proportion of signal elements embedded in noise needed to detect a signal is a standard tool for investigating motion perception. This paradigm was applied to the shape domain to determine how local information is pooled into a global percept. Stimulus arrays consisted of oriented Gabor elements that sampled the circumference of concentric radial frequency (RF) patterns. Individual Gabors were oriented tangentially to the shape (signal) or randomly (noise).

KW - signal elements

KW - motion perception

KW - vision sciences

KW - noise

UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-84875985036&partnerID=8YFLogxK

U2 - 10.3389/fncom.2013.00037

DO - 10.3389/fncom.2013.00037

M3 - Article

AN - SCOPUS:84875985036

VL - 7

JO - Frontiers in Computational Neuroscience

JF - Frontiers in Computational Neuroscience

SN - 1662-5188

IS - 37

M1 - PMC3655279

ER -