Literature DB >> 10996793

The dynamics of velocity adaptation in human vision.

S T Hammett1, P G Thompson, S Bedingham.   

Abstract

Since Barlow and Hill's classic study of the adaptation of the rabbit ganglion cell to movement [1], there have been several reports that motion adaptation is accompanied by an exponential reduction in spike rate, and similar estimates of the time course of velocity adaptation have been found across species [2-4]. Psychophysical studies in humans have shown that perceived velocity may reduce exponentially with adaptation [5,6]. It has been suggested that the reduction in firing of single cells may constitute the neural substrate of the reduction in perceived speed in humans [1,5-7]. Although a model of velocity coding in which the firing rate directly encodes speed may have the advantage of simplicity, it is not supported by psychophysical research. Furthermore, psychophysical estimates of the time course of perceived speed adaptation are not entirely consistent with physiological estimates. This discrepancy between psychophysical and physiological estimates may be due to the unrealistic assumption that speed is coded in the gross spike rate of neurons in the primary visual cortex. The psychophysical data on motion processing are, however, generally consistent with a model in which perceived velocity is derived from the ratio of two temporal channels [8-14]. We have examined the time course of speed adaptation and recovery to determine whether the observed rates can be better related to the established physiology if a ratio model of velocity processing is assumed. Our results indicate that such a model describes the data well and can accommodate the observed difference in the time courses of physiological and psychophysical processes.

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Year:  2000        PMID: 10996793     DOI: 10.1016/s0960-9822(00)00698-9

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  6 in total

1.  Motion adaptation: net duration matters, not continuousness.

Authors:  Sven P Heinrich; Anja M Schilling; Michael Bach
Journal:  Exp Brain Res       Date:  2005-11-18       Impact factor: 1.972

Review 2.  A primer on motion visual evoked potentials.

Authors:  Sven P Heinrich
Journal:  Doc Ophthalmol       Date:  2007-02-16       Impact factor: 2.379

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.  A ratio model of perceived speed in the human visual system.

Authors:  Stephen T Hammett; Rebecca A Champion; Antony B Morland; Peter G Thompson
Journal:  Proc Biol Sci       Date:  2005-11-22       Impact factor: 5.349

5.  Visual adaptation alters the apparent speed of real-world actions.

Authors:  George Mather; Rebecca J Sharman; Todd Parsons
Journal:  Sci Rep       Date:  2017-07-27       Impact factor: 4.379

6.  Dynamics of spatial distortions reveal multiple time scales of motion adaptation.

Authors:  Neil W Roach; Paul V McGraw
Journal:  J Neurophysiol       Date:  2009-10-07       Impact factor: 2.714

  6 in total

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