A nonlinear physics model based on extended synergetics for the flow of infant actions during infant-mother face-to-face communications

  • Authors

    • Till Frank University of Connecticut, USA
    2014-09-26
    https://doi.org/10.14419/ijsw.v2i2.3468
  • The temporal ordering or flow of infant actions in the context of infant-mother face-to-face communications is discussed from a nonlinear physics perspective. The actions are considered as spatio-temporal patterns that emerge due to self-organization. The presence of a particular action is described in terms of a finite amplitude of the respective pattern. In line with benchmark models from synergetic sand population dynamics, nonlinear amplitude equations that determine the evolution of the infant actions are defined. The model is extended to take self-inhibition and forgetting into account. More precisely, it is shown that the flow of infant actions during infant-mother communications can be explained by assuming that the infant behavior inhibits itself such that after a certain period of time the performed behavior becomes unstable and a transition towards a new behavior occurs. The proposed model is applied to literature data about

    Three minute periods of infant-mother face-to-face communications. Since the model parameters determine the characteristic properties of the flow of infant actions, the conclusion is drawn that changes of the flow characteristics observed on the behavioral level during infant development correspond to changes of parameters on the neurobiological level that happen on the relative slow time scale of infant maturation

    Keywords: Use about five key words or phrases in alphabetical order, separated by commas.

  • References

    1. J. A. S. Kelso, Dynamic patterns - The self-organization of brain and behavior, MIT Press, Cambridge, 1995.
    2. H. Haken, Principles of brain functioning, Springer, Berlin, 1996.
    3. T. D. Frank, J. van der Kamp , G. J. P. Savelsbergh, On a multistable dynamic model of behavioral and perceptual infant development, Dev. Psychobiol. 52 (2010) 352--371.
    4. T. D. Frank, Motor development during infancy: a nonlinear physics approach to emergence, multistability, and simulation, in: A. M. Columbus (Ed.), Advances in psychology research, Vol. 83, Nova Publ., New York, 2011, pp. Chap. 9 (pp. 143--160).
    5. T. D. Frank, Secondary bifurcations in a Lotka-Volterra model for n competitors with applications to action selection and compulsive behaviors, Int. J. Bif. and Chaos (in press)
    6. A. Fuchs, H. Haken, Pattern recognition and associative memory as dynamical processes in a synergetic system. I. Translational invariance, selective attention and decomposition of scene, Biol. Cybern. 60 (1988) 17--22.
    7. A. Fuchs, H. Haken, Pattern recognition and associative memory as dynamical processes in a synergetic system. II. Decomposition of complex scenes, simultaneous invariance with respect to translation, rotation, and scaling, Biol. Cybern. 60 (1988) 107--109.
    8. T. Ditzinger, H. Haken, Oscillations in the perception of ambigious patterns: a model based on synergetics, Biol. Cybern. 61 (1989) 279--287.
    9. T. Ditzinger, H. Haken, Impact of fluctuations on the recognition of ambiguous patterns, Biol. Cybern. 63 (1990) 453--456.
    10. T. Ditzinger, B. Tuller, J. A. S. Kelso, Temporal patterning in an auditory illusion: the verbal transformation effect, Biol. Cybern. 77 (1997) 23--30.
    11. T. Ditzinger, B. Tuller, H. Haken, J. A. S. Kelso, A synergetic model for the verbal transformation effect, Biol. Cybern. 77 (1997) 31--40.
    12. B. Tuller, P. Case, M. Ding, J. A. S. Kelso, The nonlinear dynamics of speech recognition, J. Exp. Psychol. - Hum. Percept. Perform. 20 (1994) 3--16.
    13. S. M. Lopresti-Goodman , M. T. Turvey, T. D. Frank, Negative hysteresis in the behavioral dynamics of the affordance "graspable", Attention, Perception, and Psychophysics 75 (2013) 1075--1091.
    14. T. D. Frank, On a multistable competitive network model in the case of an inhomogeneous growth rate spectrum with an application to priming, Phys. Lett. A 373 (2009) 4127--4133.
    15. T. D. Frank, Psycho-thermodynamics of priming, recognition latencies, retrieval-induced forgetting, priming-induced recognition failures and psychopathological perception, in: N. Hsu, Z. Schutt (Eds.), Psychology of priming, Nova Publ., New York, 2012, pp. Chap. 9 (pp. 175--204).
    16. T. D. Frank, From systems biology to systems theory of bipolar disorder, in: F. Miranda (Ed.), Systems theory: perspectives, applications and developments, Nova Publ., New York, 2014, pp. Chap. 2 (pp. 17--36).
    17. M. Lavelli, A. Fogel, Interdyad differences in early mother-infant face-to-face communication: real-time dynamics and developmental pathways, Developmental Psychology 49 (2013) 2257--2271.
    18. H. Haken, Synergetic computers and cognition, Springer, Berlin, 1991.
    19. T. D. Frank, New perspectives on pattern recognition algorithm based on Haken's synergetic computer network, in: M. D. Fournier (Ed.), Perspective on pattern recognition, Nova Publ., New York, 2011, pp. Chap. 7 (pp. 153--172).
    20. S. M. Lopresti-Goodman, M. T. Turvey, T. D. Frank, Behavioral dynamics of the affordance "graspable", Attention, Perception, and Psychophysics 73 (2011) 1948--1965.
    21. J. Kriz, Synergetics in clinical psychology, in: H. Haken, M. Stadler (Eds.), Synergetics in cognition, Springer, Berlin, 1990, pp. 393--404.
    22. M. I. Rabinovich, M. K. Muezzinoghu, I. Strigo, A. Bystritsky, Dynamic principles of emotion-cognition interaction: mathematical images of mental disorders, PLoS ONE 5 (2010) e12547.
    23. H. Risken, The Fokker-Planck equation Methods of solution and applications, Springer, Berlin, 1989.
    24. T. D. Frank, Nonlinear Fokker-Planck equations: Fundamentals and applications, Springer, Berlin, 2005.
    25. T. D. Frank, Decision making in physical intelligent systems regulated by growth rate factors, Computer and Information Science 7 (2014) 55--64.
    26. R. Swenson, M. T. Turvey, Thermodynamic reasons for perception-action cycles, Ecol. Psychol. 3(4) (1991) 317--348.
    27. M. T. Turvey, C. Carello, On intelligence from first principles: guidelines for the inquiry into the hypothesis of physical intelligence, Ecological Psychology 24 (2012) 3--32.
    28. T. D. Frank, Rate of entropy production as a physical selection principle for mode-mode transitions in non-equilibrium systems: with an application to a non-algorithmic dynamic message buffer, European Journal of Scientific Research 54 (2011) 59--74.
    29. T. D. Frank, Pumping and entropy production in non-equilibrium drift-diffusion systems: a canonical-dissipative approach, European Journal of Scientific Research 46 (2010) 136--146.
    30. C. H. Hsu, A. Fogel, Stability and transitions in mother-infant face-to-face communication during the first 6 months: a microhistorical approach, Developmental psychology 39 (2003) 1061--1082.
    31. N. Herschkowitz, J. Kagan, K. Zilles, Neurobiological bases of behavioral development in the first year, Neuropediatrics 28 (1997) 296--306.
    32. P.H. Wolff, Behavioral states and the expressions of emotion in early infancy, University of Chicago Press, Chicago, 1987.
    33. T. B. Brazelton, H. Als, Four early stages in the development of mother-infant interaction, Psychoanalytical Study of the Child 34 (1979) 349--369.
    34. T. D. Frank, Multistable perception in schizophrenia: a model-based analysis via coarse-grained order parameter dynamics and a comment on the 4th law, Universal Journal in Psychology 2 (2014) 231--240.
    35. T. D. Frank, Action flow in obsessive-compulsive disorder rituals: a model based on extended synergetics and a comment on the 4th law, Journal of Advances in Physics 5 (2014) 845--853.
  • Downloads

  • How to Cite

    Frank, T. (2014). A nonlinear physics model based on extended synergetics for the flow of infant actions during infant-mother face-to-face communications. International Journal of Scientific World, 2(2), 62-74. https://doi.org/10.14419/ijsw.v2i2.3468