Literature DB >> 8573652

Coordination dynamics of trajectory formation.

J J Buchanan1, J A Kelso, A Fuchs.   

Abstract

The present study aims to understand the neurally based coordination dynamics (multistability, loss of stability, transitions, etc.) of trajectory formation in a simple task. Six subjects produced two spatial patterns of coordination in the xy plane by alternating the abduction-adduction and flexion-extension motions of their right index finger. Each pattern was characterized by a unique temporal ratio between the x and y directions of motion: (1) a figure zero, a 1:1 temporal pattern; and (2) a figure eight, a 2:1 temporal pattern. The patterns were produced rhythmically and movement frequency was scaled across ten frequency plateaus, with ten cycles of motion per step. As movement frequency increased, switching from a figure eight to a figure zero was observed at critical cycling frequencies. The switch from pattern (2) to pattern (1) was identified in the spatial trajectory and power spectra of x(t) and y(t). En route to the transition, enhancement of fluctuations was observed in the Fourier amplitudes of x(t) and y(t), specifically at f0 (the metronome frequency) and 2f0 (the first harmonic of f0). Interestingly, there was no difference in the spatial variability of the two patterns. Overall, the data demonstrate that spatial patterns of coordination can be characterized in terms of the temporal relationship between the spatial components of the trajectory itself. We discuss the experimental findings in relation to other end-point planning and multijoint control strategies, as well as the much more general problem of temporal synchronization in many interlimb and intralimb coordination tasks.

Mesh:

Year:  1996        PMID: 8573652     DOI: 10.1007/bf00199136

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  28 in total

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Authors:  G C deGuzman; J A Kelso
Journal:  Biol Cybern       Date:  1991       Impact factor: 2.086

2.  Order parameters for the neural organization of single, multijoint limb movement patterns.

Authors:  J A Kelso; J J Buchanan; S A Wallace
Journal:  Exp Brain Res       Date:  1991       Impact factor: 1.972

3.  Organization of arm movements. Motion is segmented.

Authors:  J F Soechting; C A Terzuolo
Journal:  Neuroscience       Date:  1987-10       Impact factor: 3.590

4.  A theoretical model of phase transitions in human hand movements.

Authors:  H Haken; J A Kelso; H Bunz
Journal:  Biol Cybern       Date:  1985       Impact factor: 2.086

5.  Skilled actions: a task-dynamic approach.

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Journal:  Psychol Rev       Date:  1987-01       Impact factor: 8.934

6.  An algorithm for the generation of curvilinear wrist motion in an arbitrary plane in three-dimensional space.

Authors:  J F Soechting; C A Terzuolo
Journal:  Neuroscience       Date:  1986-12       Impact factor: 3.590

7.  Posturally induced transitions in rhythmic multijoint limb movements.

Authors:  J J Buchanan; J A Kelso
Journal:  Exp Brain Res       Date:  1993       Impact factor: 1.972

8.  The coordination of arm movements: an experimentally confirmed mathematical model.

Authors:  T Flash; N Hogan
Journal:  J Neurosci       Date:  1985-07       Impact factor: 6.167

9.  Coordination of arm and wrist motion during a reaching task.

Authors:  F Lacquaniti; J F Soechting
Journal:  J Neurosci       Date:  1982-04       Impact factor: 6.167

10.  On the nature of human interlimb coordination.

Authors:  J A Kelso; D L Southard; D Goodman
Journal:  Science       Date:  1979-03-09       Impact factor: 47.728

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