Evolution of behavioral attractors with learning: Nonequilibrium phase transitions.
Abstract
Learning a bimanual coordination task (synchronization to a visually specified phasing relation) was studied as a dynamical process over 5 days of practicing a required phasing pattern. Systematic probes of the attractor layout of the 5 Ss' coordination dynamics (expressed through a collective variable, relative phase) were conducted before, during, and after practice. Depending on the relationship between the initial coordination dynamics (so-called intrinsic dynamics) and the pattern to be learned (termed behavioral information, which acts as an attractor of the coordination dynamics toward the required phasing), qualitative changes in the phase diagram occurred with learning, accompanied by quantitative evidence for loss of stability (phase transitions). Such effects persisted beyond 1 week. The nature of change due to learning (e.g., abrupt vs. gradual) is shown to arise from the cooperative or competitive interplay between behavioral information and the intrinsic dynamics.
Cites (47)
- Oscillatory responses in cat visual cortex exhibit inter-columnar synchronization which reflects global stimulus propertiesGray, Charles M., König, Peter, Engel, Andreas K., Singer, Wolf · 1989 · Nature
- A theoretical model of phase transitions in human hand movements.Haken, H., Kelso, J. A. S., Bunz, H. · 1985 · Biological Cybernetics
- Tutorials in Motor Behavior1980 · Advances in Psychology
- A hierarchical neural-network model for control and learning of voluntary movementKawato, M., Furukawa, Kazunori, Suzuki, R. · 1987 · Biological Cybernetics
- Phase transitions and critical behavior in human bimanual coordinationKelso, J. A. · 1984 · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology
- Locomotion in vertebrates: central mechanisms and reflex interactionGrillner, S. · 1975 · Physiological Reviews
- Exploring complexity: an introduction1990 · Choice Reviews Online
- Dynamic Pattern Generation in Behavioral and Neural SystemsSchöner, G., Kelso, J. A. S. · 1988 · Science
- Phase transitions and critical fluctuations in the visual coordination of rhythmic movements between people.R. C. Schmidt, Claudia Carello, Michael T. Turvey · 1990 · Journal of Experimental Psychology Human Perception & Performance
- Historical review and appraisal of research on the learning, retention, and transfer of human motor skills.Adams, Jack A. · 1987 · Psychological Bulletin
Cited by (24)
- Intermanual coordination: From behavioural principles to neural-network interactionsSwinnen, Stephan P. · 2002 · Nature Reviews Neuroscience
- Dynamic Properties of Human Brain Structure: Learning-Related Changes in Cortical Areas and Associated Fiber ConnectionsTaubert, Marco, Draganski, Bogdan, Anwander, Alfred, Müller, Karsten, Horstmann, Annette, Villringer, Arno, Ragert, Patrick · 2010 · The Journal of Neuroscience
- Gestural drift in a bilingual speaker of Brazilian Portuguese and EnglishSancier, Michele L., Fowler, Carol A. · 1997 · Journal of Phonetics
- Time scales in motor learning and development.Karl Maxim Newell, Yeou-Teh Liu, Gottfried Mayer‐Kress · 2001 · Psychological Review
- Social coordination dynamics: measuring human bonding.Oullier, Olivier, de Guzman, Gonzalo C., Jantzen, Kelly J., Lagarde, Julien, Scott Kelso, J. A. · 2008 · Social Neuroscience
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Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Evolution of behavioral attractors with learning: Nonequilibrium phase transitions. https://app.cochat.ai/papers/10.1037//0096-1523.18.2.403
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- Zanone, P., & Kelso, J. A. S. (1992). Evolution of behavioral attractors with learning: Nonequilibrium phase transitions. Journal of Experimental Psychology Human Perception & Performance. https://doi.org/10.1037//0096-1523.18.2.403
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