Literature DB >> 19352694

Speed encoding in correlation motion detectors as a consequence of spatial structure.

Andrew Isaac Meso1, Johannes M Zanker.   

Abstract

For animals to carry out a wide range of detection, recognition and navigation tasks, visual motion signals are crucial. The encoding of motion information has therefore, attracted much attention in the experimental and computational study of brain function. Two main alternative mechanisms have been proposed on the basis of behavioural and physiological experiments. On one hand, correlation-type and motion energy detectors are simple and efficient in the design of their basic mechanism but are tuned to temporal frequency rather than to speed. On other hand, gradient-type motion detectors directly represent an estimate of speed, but may require more demanding processing mechanisms. We demonstrate here how the temporal frequency dependence observed for sine-wave gratings can disappear for less constrained stimuli, to be replaced by responses reflecting speed for stimuli like square waves when a phase-sensitive detection mechanism is employed. We conclude from these observations that temporal frequency tuning is not necessarily a limitation for motion vision based on correlation detectors, and more generally demonstrate in view of the typical Fourier composition of natural scenes, that correlation detectors operating in such environments can encode image speed. In the context of our results, we discuss the implications of the loss of phase sensitivity inherent in using a linear system approach to describe neural processing.

Mesh:

Year:  2009        PMID: 19352694     DOI: 10.1007/s00422-009-0307-8

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  5 in total

1.  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

2.  Perceptual separation of transparent motion components: the interaction of motion, luminance and shape cues.

Authors:  Andrew Isaac Meso; Szonya Durant; Johannes M Zanker
Journal:  Exp Brain Res       Date:  2013-07-06       Impact factor: 1.972

3.  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

4.  Speed Estimation for Visual Tracking Emerges Dynamically from Nonlinear Frequency Interactions.

Authors:  Andrew Isaac Meso; Nikos Gekas; Pascal Mamassian; Guillaume S Masson
Journal:  eNeuro       Date:  2022-05-13

5.  Towards an understanding of the roles of visual areas MT and MST in computing speed.

Authors:  Andrew Isaac Meso; Claudio Simoncini
Journal:  Front Comput Neurosci       Date:  2014-08-08       Impact factor: 2.380

  5 in total

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