Literature DB >> 8815031

Predictive smooth pursuit of complex two-dimensional trajectories in monkey: component interactions.

R E Kettner1, H C Leung, B W Peterson.   

Abstract

Smooth pursuit eye movements were studied in monkeys tracking target spots that moved two-dimensionally. Complex target trajectories were created by applying either two or three sinusoids to horizontal and vertical axes in various combinations. The chance of observing predictable performance was increased by repeated training on each trajectory. Data analyses were based upon repeated presentations of each trajectory within sessions and on successive days. We wished to determine how accurately monkeys could pursue targets moving along these trajectories and to observe interactions among frequency components. At intermediate frequencies, tracking performance was smooth and consistent during repeated presentations with saccadic corrections that were well integrated with smooth pursuit. The mean gain for eight different sum-of-sines trajectories was 0.83 and the mean magnitude (absolute value) of the phase error was 6 degrees. In light of the long delays that have been associated with the processing of visual information, these values indicate that the monkeys were pursuing predictively. Five factors influenced predictive pursuit performance: (1) there was a decline in performance with increasing frequency; (2) horizontal pursuit was better than vertical pursuit; (3) high-frequency components were tracked with higher gains and phase lags, while lower-frequency components were tracked with lower gains and phase leads; (4) the gain of sinusoidal pursuit was always reduced when a second sinusoid was applied to the same axis or, to a lessor extent, when a second sinusoid of higher frequency was applied to the orthogonal axis; (5) the phase of sinusoidal pursuit shifted from a phase lag to a phase lead when combined with a second sinusoid of higher frequency, but was not affected by the addition of a lower-frequency sinusoid. Findings 1 and 2 confirm, in monkeys, results reported for humans, and 3 extends to monkeys and to two-dimensional pursuit results based upon human subjects. All of these findings demonstrate that complex predictive tracking is controlled by a nonlinear and nonhomogeneous system that uses predictive strategies in concert with feedback control to generate good pursuit.

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Year:  1996        PMID: 8815031     DOI: 10.1007/bf00228096

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


  45 in total

Review 1.  Identification of the Purkinje cell/climbing fiber zone and its target neurons responsible for eye-movement control by the cerebellar flocculus.

Authors:  Y Sato; T Kawasaki
Journal:  Brain Res Brain Res Rev       Date:  1991 Jan-Apr

2.  Visual responses of Purkinje cells in the cerebellar flocculus during smooth-pursuit eye movements in monkeys. I. Simple spikes.

Authors:  L S Stone; S G Lisberger
Journal:  J Neurophysiol       Date:  1990-05       Impact factor: 2.714

3.  The effect of expectations on slow oculomotor control. I. Periodic target steps.

Authors:  E Kowler; R M Steinman
Journal:  Vision Res       Date:  1979       Impact factor: 1.886

4.  Neural activity in cortical area MST of alert monkey during ocular following responses.

Authors:  K Kawano; M Shidara; Y Watanabe; S Yamane
Journal:  J Neurophysiol       Date:  1994-06       Impact factor: 2.714

5.  On the predictive control of foveal eye tracking and slow phases of optokinetic and vestibular nystagmus.

Authors:  S Yasui; L R Young
Journal:  J Physiol       Date:  1984-02       Impact factor: 5.182

6.  Signals in vestibular nucleus mediating vertical eye movements in the monkey.

Authors:  R D Tomlinson; D A Robinson
Journal:  J Neurophysiol       Date:  1984-06       Impact factor: 2.714

7.  Contribution of y group of vestibular nuclei and dentate nucleus of cerebellum to generation of vertical smooth eye movements.

Authors:  M C Chubb; A F Fuchs
Journal:  J Neurophysiol       Date:  1982-07       Impact factor: 2.714

8.  Relationship between eye acceleration and retinal image velocity during foveal smooth pursuit in man and monkey.

Authors:  S G Lisberger; C Evinger; G W Johanson; A F Fuchs
Journal:  J Neurophysiol       Date:  1981-08       Impact factor: 2.714

9.  Role of primate flocculus during rapid behavioral modification of vestibuloocular reflex. II. Mossy fiber firing patterns during horizontal head rotation and eye movement.

Authors:  S G Lisberger; A F Fuchs
Journal:  J Neurophysiol       Date:  1978-05       Impact factor: 2.714

10.  Response properties of dorsolateral pontine units during smooth pursuit in the rhesus macaque.

Authors:  M J Mustari; A F Fuchs; J Wallman
Journal:  J Neurophysiol       Date:  1988-08       Impact factor: 2.714

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  12 in total

1.  Manual tracking in three dimensions.

Authors:  Leigh A Mrotek; C C A M Gielen; Martha Flanders
Journal:  Exp Brain Res       Date:  2005-11-25       Impact factor: 1.972

2.  Oculomotor responses to gradual changes in target direction.

Authors:  Leigh A Mrotek; Martha Flanders; John F Soechting
Journal:  Exp Brain Res       Date:  2006-01-18       Impact factor: 1.972

3.  Models for the extrapolation of target motion for manual interception.

Authors:  John F Soechting; John Z Juveli; Hrishikesh M Rao
Journal:  J Neurophysiol       Date:  2009-07-01       Impact factor: 2.714

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

5.  Learning the trajectory of a moving visual target and evolution of its tracking in the monkey.

Authors:  Clara Bourrelly; Julie Quinet; Patrick Cavanagh; Laurent Goffart
Journal:  J Neurophysiol       Date:  2016-09-28       Impact factor: 2.714

6.  Spatial and temporal aspects of cognitive influences on smooth pursuit.

Authors:  Sara A Winges; John F Soechting
Journal:  Exp Brain Res       Date:  2011-03-27       Impact factor: 1.972

7.  Incorporating prediction in models for two-dimensional smooth pursuit.

Authors:  John F Soechting; Hrishikesh M Rao; John Z Juveli
Journal:  PLoS One       Date:  2010-09-03       Impact factor: 3.240

8.  Catch-up saccades in head-unrestrained conditions reveal that saccade amplitude is corrected using an internal model of target movement.

Authors:  Pierre M Daye; Gunnar Blohm; Phillippe Lefèvre
Journal:  J Vis       Date:  2014-01-14       Impact factor: 2.240

9.  Goal representations dominate superior colliculus activity during extrafoveal tracking.

Authors:  Ziad M Hafed; Richard J Krauzlis
Journal:  J Neurosci       Date:  2008-09-17       Impact factor: 6.167

10.  Target interception: hand-eye coordination and strategies.

Authors:  Leigh A Mrotek; John F Soechting
Journal:  J Neurosci       Date:  2007-07-04       Impact factor: 6.167

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