Literature DB >> 2397761

An analysis of curvature in fast and slow human saccades.

A C Smit1, J A Van Gisbergen.   

Abstract

In order to study the cooperation of peripheral motor subsystems, the degree of curvature of human saccades along cardinal (right, up, left, down) and oblique directions was computed from an extensive set of experimental data. Our curvature measure allows comparison of fast and slow saccade trajectories elicited in different experimental conditions, independent of the speed of execution. Although we found clear and consistent subject-specific differences, the most common pattern in oblique visually-guided (i.e., fast) saccades reflected early dominance of the horizontal velocity signal as expressed in saccade trajectories curving away from the horizontal axis. Plots of curvature against direction yielded consistent idiosyncratic patterns with periodical increases and decreases in saccade curvature which were largely independent of saccade amplitude. At the cardinal axes, mean saccade curvature was generally less, but rarely entirely absent, and fitted smoothly into the curvature pattern of neighbouring quadrants. Memory-guided saccades, which have been shown earlier to be considerably slower than visually-guided saccades and to be more variable in their dynamic properties, showed a strikingly similar dependence of curvature on saccade direction, although some small but consistent differences were noticed. This finding suggests that saccade curvature is determined by mechanisms residing in the final common pathway for both saccade types. The curvature data were compared with quantitative predictions from three different models for the generation of oblique saccades. By quantifying the curvature of human saccades and thereby revealing the shortcomings of these models, the present paper documents new constraints with which future models of the saccadic system must comply and allows certain suggestions on how these might be developed.

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Year:  1990        PMID: 2397761     DOI: 10.1007/bf00228124

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


  17 in total

1.  Quantitative measurement of saccade amplitude, duration, and velocity.

Authors:  R W Baloh; A W Sills; W E Kumley; V Honrubia
Journal:  Neurology       Date:  1975-11       Impact factor: 9.910

2.  Component stretching in fast and slow oblique saccades in the human.

Authors:  A C Smit; A J Van Opstal; J A Van Gisbergen
Journal:  Exp Brain Res       Date:  1990       Impact factor: 1.972

3.  Ambivalence in modelling oblique saccades.

Authors:  G E Grossman; D A Robinson
Journal:  Biol Cybern       Date:  1988       Impact factor: 2.086

4.  A parametric analysis of human saccades in different experimental paradigms.

Authors:  A C Smit; J A Van Gisbergen; A R Cools
Journal:  Vision Res       Date:  1987       Impact factor: 1.886

5.  Binocular co-ordination of human vertical saccadic eye movements.

Authors:  H Collewijn; C J Erkelens; R M Steinman
Journal:  J Physiol       Date:  1988-10       Impact factor: 5.182

6.  Binocular co-ordination of human horizontal saccadic eye movements.

Authors:  H Collewijn; C J Erkelens; R M Steinman
Journal:  J Physiol       Date:  1988-10       Impact factor: 5.182

7.  Oblique saccadic eye movements of primates.

Authors:  W M King; S G Lisberger; A F Fuchs
Journal:  J Neurophysiol       Date:  1986-09       Impact factor: 2.714

8.  A new local feedback model of the saccadic burst generator.

Authors:  C A Scudder
Journal:  J Neurophysiol       Date:  1988-05       Impact factor: 2.714

9.  Modification of saccadic eye movements by GABA-related substances. I. Effect of muscimol and bicuculline in monkey superior colliculus.

Authors:  O Hikosaka; R H Wurtz
Journal:  J Neurophysiol       Date:  1985-01       Impact factor: 2.714

10.  Characteristics of saccadic dysmetria in monkeys during reversible lesions of medial cerebellar nuclei.

Authors:  T Vilis; J Hore
Journal:  J Neurophysiol       Date:  1981-10       Impact factor: 2.714

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  19 in total

1.  Simulations of saccade curvature by models that place superior colliculus upstream from the local feedback loop.

Authors:  Mark M G Walton; David L Sparks; Neeraj J Gandhi
Journal:  J Neurophysiol       Date:  2004-12-22       Impact factor: 2.714

2.  Incomplete suppression of distractor-related activity in the frontal eye field results in curved saccades.

Authors:  Robert M McPeek
Journal:  J Neurophysiol       Date:  2006-08-02       Impact factor: 2.714

3.  Target selection for visually guided reaching in macaque.

Authors:  Joo-Hyun Song; Naomi Takahashi; Robert M McPeek
Journal:  J Neurophysiol       Date:  2007-11-07       Impact factor: 2.714

4.  Adaptive control of saccades via internal feedback.

Authors:  Haiyin Chen-Harris; Wilsaan M Joiner; Vincent Ethier; David S Zee; Reza Shadmehr
Journal:  J Neurosci       Date:  2008-03-12       Impact factor: 6.167

5.  Inhibition of voluntary saccadic eye movement commands by abrupt visual onsets.

Authors:  Jay A Edelman; Kitty Z Xu
Journal:  J Neurophysiol       Date:  2008-11-19       Impact factor: 2.714

6.  Component stretching in fast and slow oblique saccades in the human.

Authors:  A C Smit; A J Van Opstal; J A Van Gisbergen
Journal:  Exp Brain Res       Date:  1990       Impact factor: 1.972

7.  Changes in perceptual sensitivity related to spatial cues depends on subcortical activity.

Authors:  Lee P Lovejoy; Richard J Krauzlis
Journal:  Proc Natl Acad Sci U S A       Date:  2017-05-22       Impact factor: 11.205

8.  Slow correcting eye movements of head-fixed, trained cats toward stationary targets.

Authors:  M Missal; M Crommelinck; A Roucoux; M F Decostre
Journal:  Exp Brain Res       Date:  1993       Impact factor: 1.972

9.  Three-dimensional analysis of strongly curved saccades elicited by double-step stimuli.

Authors:  A W Minken; A J Van Opstal; J A Van Gisbergen
Journal:  Exp Brain Res       Date:  1993       Impact factor: 1.972

10.  Accuracy of planar reaching movements. I. Independence of direction and extent variability.

Authors:  J Gordon; M F Ghilardi; C Ghez
Journal:  Exp Brain Res       Date:  1994       Impact factor: 1.972

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