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Related Experiment Videos

Dynamic instabilities as mechanisms for emergence.

Gregor Schöner1, Evelina Dineva

  • 1Institut für Neuroinformatik, Ruhr-Universität Bochum, Germany. gregor.schoener@neuroinformatik.ruhr-uni-bochum.de

Developmental Science
|December 22, 2006
PubMed
Summary
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Developmental research shows skills emerge from dynamic systems. Dynamic instabilities explain sharp transitions in infant reaching, linking development to neuronal processes.

Area of Science:

  • Developmental Psychology
  • Neuroscience
  • Cognitive Science

Background:

  • Competence emergence in context is a key theme in developmental research.
  • Dynamic systems theory explains cognitive and motor skills as stable neuronal activation patterns.
  • Previous work links motor and cognitive development through empirical evidence.

Purpose of the Study:

  • To mechanistically account for skill emergence in development.
  • To understand cognitive and motor capacities through dynamic systems thinking.
  • To link developmental transitions to neuronal processes using infant perseverative reaching as a model.

Main Methods:

  • Utilized dynamic systems theory to model skill emergence.
  • Analyzed neuronal activation patterns and their stability.

Related Experiment Videos

  • Examined infant perseverative reaching to exemplify concepts of instability and emergence.

    • Main Results:

    • Capacities like goal-directed action and habit resistance arise from stable neuronal activation patterns.
    • Skill onset is characterized by sharp transitions, explained by dynamic instabilities.
    • Infant perseverative reaching demonstrates the interplay of context, neuronal activity, and skill emergence.

    Conclusions:

    • Dynamic instabilities provide a mechanistic basis for understanding developmental emergence.
    • Identifying developmental markers requires understanding their link to underlying neuronal processes.
    • Dynamic systems theory offers a framework for explaining cognitive and motor skill development.