Literature DB >> 15309353

Predicting the duration of ocular pursuit in humans.

G R Barnes1, C J S Collins, L R Arnold.   

Abstract

This study examines the effects of expectation on the timing of ocular pursuit termination. Human subjects pursued repeated, constant velocity (15 or 30 degrees/s) target motion stimuli (ramps), moving left or right. Ramps were of constant duration (RD = 240, 480, 720 or 960 ms), resulting in anticipatory slowing of eye velocity prior to ramp termination and target extinction. At unexpected intervals RD was increased or decreased, but velocity remained constant. When RD increased eye velocity continued to decline, even though the target remained visible and continued to move. It took approximately 180 ms before eye velocity started to recover towards the steady state velocity level for the continued target motion. When RD decreased, eye velocity continued as if for a longer ramp duration, again taking approximately 180 ms before eye velocity started to decrease. These results suggest that timing of the response to the expected ramp duration had been pre-programmed on the basis of prior experience of ramp duration. Moreover, adjustments to timing occurred rapidly, within the second presentation of the new RD. Responses were compared to control conditions with randomised ramp duration. Eye velocity declined later in the controls for RD < or = 720 ms, as expected, but exhibited similar decline in predictable and randomised conditions for RD = 960 ms. Further controls established that eye velocity could only be reliably maintained until the end of the ramp when the target was expected to continue in motion after the end of the ramp. The results suggest that estimates of stimulus duration are made continuously in all conditions, based on expectancy of target termination.

Entities:  

Mesh:

Year:  2005        PMID: 15309353     DOI: 10.1007/s00221-004-1981-3

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  48 in total

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Authors:  M Tanaka; S G Lisberger
Journal:  Nature       Date:  2001-01-11       Impact factor: 49.962

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Authors:  G R Barnes; A M Schmid; C B Jarrett
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Authors:  J D Schwartz; S G Lisberger
Journal:  Vis Neurosci       Date:  1994 May-Jun       Impact factor: 3.241

5.  Single-neuron activity in the dorsomedial frontal cortex during smooth-pursuit eye movements to predictable target motion.

Authors:  S J Heinen; M Liu
Journal:  Vis Neurosci       Date:  1997 Sep-Oct       Impact factor: 3.241

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Authors:  G R Barnes; A M Schmid
Journal:  Exp Brain Res       Date:  2002-04-16       Impact factor: 1.972

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Authors:  J R Carl; R S Gellman
Journal:  J Neurophysiol       Date:  1987-05       Impact factor: 2.714

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Authors:  T H Rammsayer
Journal:  Int J Neurosci       Date:  1994-07       Impact factor: 2.292

10.  Methamphetamine and time estimation.

Authors:  A V Maricq; S Roberts; R M Church
Journal:  J Exp Psychol Anim Behav Process       Date:  1981-01
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  14 in total

1.  Influence of previous target motion on anticipatory pursuit deceleration.

Authors:  C de Hemptinne; G R Barnes; M Missal
Journal:  Exp Brain Res       Date:  2010-10-21       Impact factor: 1.972

2.  An internal clock generates repetitive predictive saccades.

Authors:  Wilsaan M Joiner; Mark Shelhamer
Journal:  Exp Brain Res       Date:  2006-09-09       Impact factor: 1.972

3.  Behavioral analysis of predictive saccade tracking as studied by countermanding.

Authors:  Wilsaan M Joiner; Jung-Eun Lee; Mark Shelhamer
Journal:  Exp Brain Res       Date:  2007-05-03       Impact factor: 1.972

4.  Eye movements and manual interception of ballistic trajectories: effects of law of motion perturbations and occlusions.

Authors:  Sergio Delle Monache; Francesco Lacquaniti; Gianfranco Bosco
Journal:  Exp Brain Res       Date:  2014-10-14       Impact factor: 1.972

Review 5.  Stopping smooth pursuit.

Authors:  Marcus Missal; Stephen J Heinen
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-04-19       Impact factor: 6.237

6.  Saccades to future ball location reveal memory-based prediction in a virtual-reality interception task.

Authors:  Gabriel Diaz; Joseph Cooper; Constantin Rothkopf; Mary Hayhoe
Journal:  J Vis       Date:  2013-01-16       Impact factor: 2.240

7.  The use of non-motion-based cues to pre-programme the timing of predictive velocity reversal in human smooth pursuit.

Authors:  Christian Jarrett; Graham Barnes
Journal:  Exp Brain Res       Date:  2005-05-13       Impact factor: 1.972

8.  The influence of cues and stimulus history on the non-linear frequency characteristics of the pursuit response to randomized target motion.

Authors:  Graham R Barnes; C J Sue Collins
Journal:  Exp Brain Res       Date:  2011-05-18       Impact factor: 1.972

9.  The occluded onset pursuit paradigm: prolonging anticipatory smooth pursuit in the absence of visual feedback.

Authors:  C J S Collins; G R Barnes
Journal:  Exp Brain Res       Date:  2006-05-25       Impact factor: 1.972

10.  Influence of predictability on control of extra-retinal components of smooth pursuit during prolonged 2D tracking.

Authors:  Graham Barnes; Sue Collins
Journal:  Exp Brain Res       Date:  2014-12-05       Impact factor: 1.972

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