Abstract
In order to provide a comprehensive and predictive framework for learning and memory, a dynamical pattern theory seeks for very general laws and principles that determine stability and change of behavioral patterns. In the nineties, learning was defined as the emergence of a new stable behavioral pattern involving the alteration of the entire layer of underlying dynamics. Twelve years after, we attempt to evaluate what new insights this approach may afford. After a brief outline of a dynamic theory of learning, we propose three generic principles underlying learning, coming from an overview of experimental work on bimanual coordination and pattern perception: a principle of symmetry conservation, a principle of distance, and a principle of time scales. Throughout this first round of research, a deep question lingers as to the possible existence of two routes to learning. Future research has to establish whether they correspond to two levels of behavioral organization, a metric and a topological level, discerned by Bernstein.
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Zanone, PG., Kostrubiec, V. (2004). Searching for (Dynamic) Principles of Learning. In: Jirsa, V.K., Kelso, J.A.S. (eds) Coordination Dynamics: Issues and Trends. Understanding Complex Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39676-5_4
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DOI: https://doi.org/10.1007/978-3-540-39676-5_4
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