Literature DB >> 12424320

From following edges to pursuing objects.

Guillaume S Masson1, Leland S Stone.   

Abstract

Primates can generate accurate, smooth eye-movement responses to moving target objects of arbitrary shape and size, even in the presence of complex backgrounds and/or the extraneous motion of non-target objects. Most previous studies of pursuit have simply used a spot moving over a featureless background as the target and have thus neglected critical issues associated with the general problem of recovering object motion. Visual psychophysicists and theoreticians have shown that, for arbitrary objects with multiple features at multiple orientations, object-motion estimation for perception is a complex, multi-staged, time-consuming process. To examine the temporal evolution of the motion signal driving pursuit, we recorded the tracking eye movements of human observers to moving line-figure diamonds. We found that pursuit is initially biased in the direction of the vector average of the motions of the diamond's line segments and gradually converges to the true object-motion direction with a time constant of approximately 90 ms. Furthermore, transient blanking of the target during steady-state pursuit induces a decrease in tracking speed, which, unlike pursuit initiation, is subsequently corrected without an initial direction bias. These results are inconsistent with current models in which pursuit is driven by retinal-slip error correction. They demonstrate that pursuit models must be revised to include a more complete visual afferent pathway, which computes, and to some extent latches on to, an accurate estimate of object direction over the first hundred milliseconds or so of motion.

Entities:  

Keywords:  NASA Center ARC; NASA Discipline Neuroscience

Mesh:

Year:  2002        PMID: 12424320     DOI: 10.1152/jn.00987.2001

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  19 in total

1.  Interception of targets using brief directional cues.

Authors:  Leigh A Mrotek; Martha Flanders; John F Soechting
Journal:  Exp Brain Res       Date:  2004-01-13       Impact factor: 1.972

2.  Smooth pursuit tracking of an abrupt change in target direction: vector superposition of discrete responses.

Authors:  John F Soechting; Leigh A Mrotek; Martha Flanders
Journal:  Exp Brain Res       Date:  2004-08-18       Impact factor: 1.972

3.  Motion-based prediction is sufficient to solve the aperture problem.

Authors:  Laurent U Perrinet; Guillaume S Masson
Journal:  Neural Comput       Date:  2012-06-26       Impact factor: 2.026

4.  Two distinct visual motion mechanisms for smooth pursuit: evidence from individual differences.

Authors:  Jeremy B Wilmer; Ken Nakayama
Journal:  Neuron       Date:  2007-06-21       Impact factor: 17.173

Review 5.  Saccades and pursuit: two outcomes of a single sensorimotor process.

Authors:  Jean-Jacques Orban de Xivry; Philippe Lefèvre
Journal:  J Physiol       Date:  2007-08-09       Impact factor: 5.182

6.  Dynamics of smooth pursuit maintenance.

Authors:  Abtine Tavassoli; Dario L Ringach
Journal:  J Neurophysiol       Date:  2009-04-15       Impact factor: 2.714

Review 7.  Eye movements: the past 25 years.

Authors:  Eileen Kowler
Journal:  Vision Res       Date:  2011-01-13       Impact factor: 1.886

Review 8.  The vision of Hsiao on somatosensation.

Authors:  Martha Flanders; John F Soechting
Journal:  J Neurophysiol       Date:  2014-11-12       Impact factor: 2.714

9.  Orientation-dependent biases in length judgments of isolated stimuli.

Authors:  Jielei Emma Zhu; Wei Ji Ma
Journal:  J Vis       Date:  2017-02-01       Impact factor: 2.240

10.  Anticipatory smooth eye movements with random-dot kinematograms.

Authors:  Elio M Santos; Edinah K Gnang; Eileen Kowler
Journal:  J Vis       Date:  2012-10-01       Impact factor: 2.240

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