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J.A. Scott Kelso’s Contributions to Our Understanding of Coordination

  • Armin Fuchs
  • Viktor K. Jirsa
Part of the Understanding Complex Systems book series (UCS)

Abstract

“Does old Scotty still make a living from finger wagging?” A question asked by an Irish man who had known Scott Kelso since both were children. The answer: “Yes, and doing quite well, actually” triggered the much tougher question: “What can be studied there for half a life span?” Such was not possible to respond in detail as we were at the airport in Miami and had to catch our flights. But the question remains, in more scientific terms: Why do we study coordination dynamics? Why are not only psychologists and kinesiologists but also theoretical physicists interested in finger wagging? Theorists appreciate laws and first principles, the more fundamental, the better. Coordination dynamics provides such laws. They are the basic laws for a quantitative description of phenomena that are observed when humans interact in a certain way with themselves, with other humans and with their environment.

Keywords

Movement Rate Versus Versus Versus Versus Coordination Pattern Versus Versus Versus Versus Versus Bimanual Coordination 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Abeles M (1991) Corticonics. Cambridge University Press, CambridgeGoogle Scholar
  2. 2.
    Byblow WD, Carson RG, Goodman D (1994) Expressions of asymmetries and anchoring in bimanual coordination. Hum Mov Sci 13: 3–28CrossRefGoogle Scholar
  3. 3.
    Daffertshofer A, Huys R, Beek PJ (2004) Dynamical coupling between locomotion and respiration. Biol Cybern 90:157–164zbMATHCrossRefGoogle Scholar
  4. 4.
    Fink PW, Foo P, Jirsa VK, Kelso JAS (2000) Local and global stabilization of coordination by sensory information. Exp Brain Res 134:9–20CrossRefGoogle Scholar
  5. 5.
    Fuchs A, Jirsa VK, Kelso JAS (2000) Theory of the Relation between human brain activity (MEG) and hand movements. Neuroimage 11:359–369CrossRefGoogle Scholar
  6. 6.
    Haken H, (1983) Synergetics: An Introduction. Springer, BerlinzbMATHGoogle Scholar
  7. 7.
    Haken H, Kelso JAS, Bunz H (1985) A theoretical model of phase transitions in human hand movements. Biol Cybern 51:347–356zbMATHCrossRefMathSciNetGoogle Scholar
  8. 8.
    Jirsa VK, Fink P, Foo P, Kelso JAS (2000) Parametric stabilization of bimanual coordination: A theoretical model. J Biol Phys 1:85–112CrossRefGoogle Scholar
  9. 9.
    Jirsa VK, Haken H (1996) Field theory of electromagnetic brain activity. Phys Rev Lett 77:980–963CrossRefGoogle Scholar
  10. 10.
    Jirsa VK, Haken H (1997) A derivation of a macroscopic field theory of the brain from the quasi-microscopic neural dynamics. Physica D 99:503–526zbMATHCrossRefGoogle Scholar
  11. 11.
    Jirsa VK, Kelso JAS (2004) Integration and segregation of behavioral and perceptual function. In: Jirsa VK, Kelso JAS (eds) Coordination dynamics: Issues and trends. Springer, Berlin pp. 243–259Google Scholar
  12. 12.
    Jirsa VK, Kelso JAS (2005) The excitator as a minimal model for the coordination dynamics of discrete and rhythmic movement generation. J Motor Behav 37:35–51CrossRefGoogle Scholar
  13. 13.
    Kay BA, Kelso JAS, Saltzman EL, Schöner GS (1987) The space-time behavior of single and bimaniual movements: Data and model. J Exp Psychol Hum. Percept. Perform. 13:178–192CrossRefGoogle Scholar
  14. 14.
    Kay BA, Warren WH Jr (1998) A Dynamical model of coupling between posture and gait. In: Rosenbaum DA, Collyer CA (eds) Timing of behavior. MIT Press, Cambridge pp. 293–322Google Scholar
  15. 15.
    Kelso JAS, DelColle JD, Schöner GS (1990) Action-perception as a pattern formation process. In: Jeannerod M (ed) Attention and performance. Erlbaum, Hillsdale, Vol. 13, pp. 139–169Google Scholar
  16. 16.
    Kelso JAS, Scholz JP, Schöner G (1986) Nonequilibrium phase transitions in coordinated biological motion: Critical fluctuations. Phys Lett A 118:279–284CrossRefGoogle Scholar
  17. 17.
    Mayville JM, Fuchs A, Ding M, Cheyne D, Deecke L, Kelso JAS (2001) Event related changes in neuromagnetic activity associated with syncopation and synchronization timing tasks. Hum Brain Mapp 14:65–80CrossRefGoogle Scholar
  18. 18.
    Mayville JM, Jantzen KJ, Fuchs A, Steinberg FL, Kelso JAS (2003) Cortical and subcortical networks underlying syncopated and synchronized coordination revealed using fMRI. Hum Brain Mapp 17:214–229CrossRefGoogle Scholar
  19. 19.
    Nunez PL (1972) The brain wave equation: A model for the EEG. Math Biosci 21:279–297CrossRefGoogle Scholar
  20. 20.
    Nunez PL (1981) Electric fields of the brain. Oxford University Press, OxfordGoogle Scholar
  21. 21.
    Scholz J, Kelso JAS, Schöner G (1987) Nonequilibrium phase transitions in coordinated biological motion: Critical slowing down and switching time. Phys Lett A 123:390–394CrossRefGoogle Scholar
  22. 22.
    Schöner G, Kelso JAS (1988) A synergetic theory of environmentally-specified and learned patterns of movement coordination: II. Component oscillator dynamics. Biol Cybern 58:81–89CrossRefGoogle Scholar
  23. 23.
    Wilson HR, Cowan JD (1972) Excitatory and inhibitory interactions in localized interactions of model neurons. Biophys J 12:1–24CrossRefGoogle Scholar
  24. 24.
    Wilson HR, Cowan JD (1973) A mathematical theory of the functional dynamics of cortical and thalamic nervous tissue. Kybernetik 13:55–80CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Armin Fuchs
    • 1
  • Viktor K. Jirsa
    • 1
  1. 1.Center for Complex Systems and Brain Sciences, Department of PhysicsFlorida Atlantic UniversityBoca RatonUSA

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