Literature DB >> 11205969

Accuracy of velocity estimation by Reichardt correlators.

R O Dror1, D C O'Carroll, S B Laughlin.   

Abstract

Although a great deal of experimental evidence supports the notion of a Reichardt correlator as a mechanism for biological motion detection, the correlator does not signal true image velocity. This study examines the accuracy with which realistic Reichardt correlators can provide velocity estimates in an organism's natural visual environment. The predictable statistics of natural images imply a consistent correspondence between mean correlator response and velocity, allowing the otherwise ambiguous Reichardt correlator to act as a practical velocity estimator. Analysis and simulations suggest that processes commonly found in visual systems, such as prefiltering, response compression, integration, and adaptation, improve the reliability of velocity estimation and expand the range of velocities coded. Experimental recordings confirm our predictions of correlator response to broadband images.

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Year:  2001        PMID: 11205969     DOI: 10.1364/josaa.18.000241

Source DB:  PubMed          Journal:  J Opt Soc Am A Opt Image Sci Vis        ISSN: 1084-7529            Impact factor:   2.129


  33 in total

Review 1.  Visually guided orientation in flies: case studies in computational neuroethology.

Authors:  M Egelhaaf; N Böddeker; R Kern; J Kretzberg; J P Lindemann; A-K Warzecha
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2003-05-15       Impact factor: 1.836

2.  The spatial frequency tuning of optic-flow-dependent behaviors in the bumblebee Bombus impatiens.

Authors:  Jonathan P Dyhr; Charles M Higgins
Journal:  J Exp Biol       Date:  2010-05       Impact factor: 3.312

3.  Motion perception and visual signal design in Anolis lizards.

Authors:  Leo J Fleishman; Adam C Pallus
Journal:  Proc Biol Sci       Date:  2010-06-30       Impact factor: 5.349

4.  Responses of blowfly motion-sensitive neurons to reconstructed optic flow along outdoor flight paths.

Authors:  N Boeddeker; J P Lindemann; M Egelhaaf; J Zeil
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2005-08-23       Impact factor: 1.836

5.  On the computations analyzing natural optic flow: quantitative model analysis of the blowfly motion vision pathway.

Authors:  J P Lindemann; R Kern; J H van Hateren; H Ritter; M Egelhaaf
Journal:  J Neurosci       Date:  2005-07-06       Impact factor: 6.167

6.  Diverse speed response properties of motion sensitive neurons in the fly's optic lobe.

Authors:  John K Douglass; Nicholas J Strausfeld
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2006-11-15       Impact factor: 1.836

7.  Asymmetric ON-OFF processing of visual motion cancels variability induced by the structure of natural scenes.

Authors:  James E Fitzgerald; Damon A Clark; Juyue Chen; Holly B Mandel
Journal:  Elife       Date:  2019-10-15       Impact factor: 8.140

8.  Modeling and measuring the visual detection of ecologically relevant motion by an Anolis lizard.

Authors:  Adam C Pallus; Leo J Fleishman; Philip M Castonguay
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2009-11-12       Impact factor: 1.836

9.  Symmetries in stimulus statistics shape the form of visual motion estimators.

Authors:  James E Fitzgerald; Alexander Y Katsov; Thomas R Clandinin; Mark J Schnitzer
Journal:  Proc Natl Acad Sci U S A       Date:  2011-07-18       Impact factor: 11.205

10.  Wide-field motion tuning in nocturnal hawkmoths.

Authors:  Jamie C Theobald; Eric J Warrant; David C O'Carroll
Journal:  Proc Biol Sci       Date:  2009-11-11       Impact factor: 5.349

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