Dynamic Systems Approach
The Dynamic Systems Approach is a theoretical framework that models perceptual-motor learning as the emergent, self-organizing interaction of multiple subsystems within a complex, nonlinear dynamical system, distinguished by its emphasis on time-scaled variability, environmental constraints, and the coordination of behavior through phase transitions.
2.8K
Publications
175.5K
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6.9K
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2.2K
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Publications per year
2017–2026
628
Parents
2.8K
Cellular neural networks: applications
Leon O. Chua, L. Yang · IEEE Transactions on Circuits and Systems · 1988 · 2.4K citations
A survey of design methods for failure detection in dynamic systems
Alan S. Willsky · Automatica · 1976 · 2.1K citations
Digital control of dynamic systems
H.N. Koivo · Automatica · 1983 · 2K citations
Engineering, Electrical Engineering, Systems Engineering +13
Mind as motion: explorations in the dynamics of cognition
Choice Reviews Online · 1996 · 1.8K citations
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2.2K

University of Groningen
Groningen, The Netherlands
24 h-index
58 publications
6.3K citations

Centre National de la Recherche Scientifique
Paris, France
21 h-index
75 publications
5.6K citations

University of Waterloo
Waterloo, Canada
19 h-index
52 publications
7K citations
University of Illinois Urbana-Champaign
Urbana, United States
18 h-index
37 publications
2.4K citations
University of Michigan
Ann Arbor, United States
18 h-index
36 publications
3.3K citations
University of California, Berkeley
Berkeley, United States
17 h-index
32 publications
6.7K citations
KU Leuven
Leuven, Belgium
16 h-index
51 publications
1.7K citations
University of Pennsylvania
Philadelphia, United States
16 h-index
41 publications
3K citations
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23 publications · 6.9K citations
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20 publications · 2.8K citations
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17 publications · 981 citations
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16 publications · 1.4K citations
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13 publications · 687 citations
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