Literature DB >> 9291603

Mathematical analysis of motion-opponent mechanisms used in the determination of heading and depth.

C S Royden1.   

Abstract

A mathematical analysis is presented of a model that uses motion-opponent operators similar to neurons found in the primate middle temporal visual area, to determine observer heading and depth from optical flow information. The response of these operators to depth changes in the form of a slanted plane or a step edge is analyzed, and the outputs of odd-symmetric operators are compared with that of circularly symmetric operators. The analysis shows sources of error from these operators in determining heading and depth and suggests how some of these errors can be mitigated. Simulations are presented that show that the model performs well for a variety of situations.

Mesh:

Year:  1997        PMID: 9291603     DOI: 10.1364/josaa.14.002128

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


  16 in total

1.  Integration mechanisms for heading perception.

Authors:  Elif M Sikoglu; Finnegan J Calabro; Scott A Beardsley; Lucia M Vaina
Journal:  Seeing Perceiving       Date:  2010-06-04

2.  The temporal dynamics of heading perception in the presence of moving objects.

Authors:  Oliver W Layton; Brett R Fajen
Journal:  J Neurophysiol       Date:  2015-10-28       Impact factor: 2.714

3.  Emulating the visual receptive-field properties of MST neurons with a template model of heading estimation.

Authors:  J A Perrone; L S Stone
Journal:  J Neurosci       Date:  1998-08-01       Impact factor: 6.167

4.  Heading perception depends on time-varying evolution of optic flow.

Authors:  Charlie S Burlingham; David J Heeger
Journal:  Proc Natl Acad Sci U S A       Date:  2020-12-16       Impact factor: 11.205

5.  Retinal Stabilization Reveals Limited Influence of Extraretinal Signals on Heading Tuning in the Medial Superior Temporal Area.

Authors:  Tyler S Manning; Kenneth H Britten
Journal:  J Neurosci       Date:  2019-09-05       Impact factor: 6.167

6.  Temporal integration of focus position signal during compensation for pursuit in optic flow.

Authors:  Jacob Duijnhouwer; Bart Krekelberg; Albert van den Berg; Richard van Wezel
Journal:  J Vis       Date:  2010-12-09       Impact factor: 2.240

7.  Retinal optic flow during natural locomotion.

Authors:  Jonathan Samir Matthis; Karl S Muller; Kathryn L Bonnen; Mary M Hayhoe
Journal:  PLoS Comput Biol       Date:  2022-02-22       Impact factor: 4.475

8.  Heading recovery from optic flow: comparing performance of humans and computational models.

Authors:  Andrew J Foulkes; Simon K Rushton; Paul A Warren
Journal:  Front Behav Neurosci       Date:  2013-06-21       Impact factor: 3.558

9.  The complex structure of receptive fields in the middle temporal area.

Authors:  Micah Richert; Thomas D Albright; Bart Krekelberg
Journal:  Front Syst Neurosci       Date:  2013-03-06

10.  Recurrent competition explains temporal effects of attention in MSTd.

Authors:  Oliver W Layton; N Andrew Browning
Journal:  Front Comput Neurosci       Date:  2012-10-05       Impact factor: 2.380

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