Dynamic instabilities as mechanisms for emergence

That competences may emerge given appropriate environmental and behavioral context is a long‐standing theme in developmental research. Work in the motor domain, but also in cognitive development, has made it possible to transform this idea into a mechanistic account closely linked to empirical evide...

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Published inDevelopmental science Vol. 10; no. 1; pp. 69 - 74
Main Authors Schöner, Gregor, Dineva, Evelina
Format Journal Article
LanguageEnglish
Published Oxford, UK Blackwell Publishing Ltd 01.01.2007
Wiley-Blackwell
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Abstract That competences may emerge given appropriate environmental and behavioral context is a long‐standing theme in developmental research. Work in the motor domain, but also in cognitive development, has made it possible to transform this idea into a mechanistic account closely linked to empirical evidence. In dynamic systems thinking, such capacities as keeping a motor goal in mind, remembering a location, or resisting a motor habit, are all understood in terms of the generation of stable patterns of neuronal activation. These may be input‐driven, but also be stabilized by interactions within neuronal representations. A key theoretical insight is that whether a particular pattern of activation is stable or not is not determined by any single factor, learning process, or structural parameter. Instead, ongoing activity, recent activation history, current input, all may affect when a particular dynamic regime is reachable. In spite of such broad interdependence, sharp transitions may characterize the onset of a skill in any given context. Dynamic instabilities are the mechanistic basis for this phenomenon and thus form the basis for understanding development in terms of emergence. We exemplify the concepts of instability and emergence around the phenomenon of infant perseverative reaching and discuss implications for identifying key markers of development and their link to neuronal processes.
AbstractList That competences may emerge given appropriate environmental and behavioral context is a long‐standing theme in developmental research. Work in the motor domain, but also in cognitive development, has made it possible to transform this idea into a mechanistic account closely linked to empirical evidence. In dynamic systems thinking, such capacities as keeping a motor goal in mind, remembering a location, or resisting a motor habit, are all understood in terms of the generation of stable patterns of neuronal activation. These may be input‐driven, but also be stabilized by interactions within neuronal representations. A key theoretical insight is that whether a particular pattern of activation is stable or not is not determined by any single factor, learning process, or structural parameter. Instead, ongoing activity, recent activation history, current input, all may affect when a particular dynamic regime is reachable. In spite of such broad interdependence, sharp transitions may characterize the onset of a skill in any given context. Dynamic instabilities are the mechanistic basis for this phenomenon and thus form the basis for understanding development in terms of emergence. We exemplify the concepts of instability and emergence around the phenomenon of infant perseverative reaching and discuss implications for identifying key markers of development and their link to neuronal processes.
That competences may emerge given appropriate environmental and behavioral context is a long-standing theme in developmental research. Work in the motor domain, but also in cognitive development, has made it possible to transform this idea into a mechanistic account closely linked to empirical evidence. In dynamic systems thinking, such capacities as keeping a motor goal in mind, remembering a location, or resisting a motor habit, are all understood in terms of the generation of stable patterns of neuronal activation. These may be input-driven, but also be stabilized by interactions within neuronal representations. A key theoretical insight is that whether a particular pattern of activation is stable or not is not determined by any single factor, learning process, or structural parameter. Instead, ongoing activity, recent activation history, current input, all may affect when a particular dynamic regime is reachable. In spite of such broad interdependence, sharp transitions may characterize the onset of a skill in any given context. Dynamic instabilities are the mechanistic basis for this phenomenon and thus form the basis for understanding development in terms of emergence. We exemplify the concepts of instability and emergence around the phenomenon of infant perseverative reaching and discuss implications for identifying key markers of development and their link to neuronal processes. [PUBLICATION ABSTRACT]
That competences may emerge given appropriate environmental and behavioral context is a long-standing theme in developmental research. Work in the motor domain, but also in cognitive development, has made it possible to transform this idea into a mechanistic account closely linked to empirical evidence. In dynamic systems thinking, such capacities as keeping a motor goal in mind, remembering a location, or resisting a motor habit, are all understood in terms of the generation of stable patterns of neuronal activation. These may be input-driven, but also be stabilized by interactions within neuronal representations. A key theoretical insight is that whether a particular pattern of activation is stable or not is not determined by any single factor, learning process, or structural parameter. Instead, ongoing activity, recent activation history, current input, all may affect when a particular dynamic regime is reachable. In spite of such broad interdependence, sharp transitions may characterize the onset of a skill in any given context. Dynamic instabilities are the mechanistic basis for this phenomenon and thus form the basis for understanding development in terms of emergence. We exemplify the concepts of instability and emergence around the phenomenon of infant perseverative reaching and discuss implications for identifying key markers of development and their link to neuronal processes.That competences may emerge given appropriate environmental and behavioral context is a long-standing theme in developmental research. Work in the motor domain, but also in cognitive development, has made it possible to transform this idea into a mechanistic account closely linked to empirical evidence. In dynamic systems thinking, such capacities as keeping a motor goal in mind, remembering a location, or resisting a motor habit, are all understood in terms of the generation of stable patterns of neuronal activation. These may be input-driven, but also be stabilized by interactions within neuronal representations. A key theoretical insight is that whether a particular pattern of activation is stable or not is not determined by any single factor, learning process, or structural parameter. Instead, ongoing activity, recent activation history, current input, all may affect when a particular dynamic regime is reachable. In spite of such broad interdependence, sharp transitions may characterize the onset of a skill in any given context. Dynamic instabilities are the mechanistic basis for this phenomenon and thus form the basis for understanding development in terms of emergence. We exemplify the concepts of instability and emergence around the phenomenon of infant perseverative reaching and discuss implications for identifying key markers of development and their link to neuronal processes.
Author Dineva, Evelina
Schöner, Gregor
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References_xml – reference: Blumberg, M.S. (2005). Basic instinct: The genesis of behavior. New York: Thunder's Mouth Press.
– reference: Marcovitch, S., & Zelazo, P.D. (1999). The A-not-B error: results from a logistic meta-analysis. Child Development, 70, 1297-1313.
– reference: Munakata, Y. (1998). Infant perseveration and implications for object permanence theories: a PDP model of the A-not-B task. Developmental Science, 1 (2), 161-184.
– reference: Thelen, E., & Smith, L.B. (1994). A dynamic systems approach to the development of cognition and action. Cambridge, MA: The MIT Press, A Bradford Book.
– reference: Munakata, Y., McClelland, J.L., Johnson, M.H., & Siegler, R.S. (1997). Rethinking infant knowledge: toward an adaptive process account of successes and failures in object permanence tasks. Psychological Review, 104, 686-719.
– reference: Schöner, G., & Thelen, E. (2006). Using dynamic field theory to rethink infant habituation. Psychological Review, 113 (2), 273-299.
– reference: Spelke, E.S., Breinlinger, K., Macomber, J., & Jacobson, K. (1992). Origins of knowledge. Psychological Review, 99 (4), 605-632.
– reference: Spencer, J.P., & Hund, A.M. (2003). Developmental continuity in the processes that underlie spatial recall. Cognitive Psychology, 47, 432-480.
– reference: Wellman, H.M., & Gelman, S.A. (1992). Cognitive development: foundational theories of core domains. Annual Review of Psychology, 43, 337-375.
– reference: Schutte, A.R., Spencer, J.P., & Schöner, G. (2003). Testing the dynamic field theory: working memory for locations becomes more spatially precise over development. Child Development, 74, 1393-1417.
– reference: Diamond, A. (1985). Development of the ability to use recall to guide action, as indicated by infants' performance on A-not-B. Child Development, 56, 868-883.
– reference: Elman, J.L., Bates, E.A., Johnson, M.H., Karmiloff-Smith, A., Parisi, D., & Plunkett, K. (1997). Rethinking innateness - A connectionist perspective on development. Cambridge, MA: The MIT Press.
– reference: Morton, J.B., & Munakata, Y. (2002, April). Active versus latent representations: a neural network model of perseveration, dissociation, and decalage. Developmental Psychobiology, 40, 255-265.
– reference: Erlhagen, W., Bastian, A., Jancke, D., Riehle, A., & Schöner, G. (1999). The distribution of neuronal population activation (DPA) as a tool to study interaction and integration in cortical representations. Journal of Neuroscience Methods, 94, 53-66.
– reference: Jancke, D. (2000). Orientation formed by a spot's trajectory: a two-dimensional population approach in primary visual cortex. Journal of Neuroscience, 20 (14), U13-U18.
– reference: Bastian, A., Schöner, G., & Riehle, A. (2003). Preshaping and continuous evolution of motor cortical representations during movement preparation. European Journal of Neuroscience, 18, 2047-2058.
– reference: Spencer, J.P., & Schöner, G. (2003). Bridging the representational gap in the dynamical systems approach to development. Developmental Science, 6, 392-412.
– reference: Thelen, E., Fisher, D.M., & Ridley-Johnson, R. (1984). The relationship between physical growth and a newborn reflex. Infant Behavior and Development, 7 (4), 479-493.
– reference: Thelen, E. (1986). Treadmill-elicited stepping in seven-month-old infants. Child Development, 57, 1498-1506.
– reference: Smith, L.B., Thelen, E., Titzer, R., & McLin, D. (1999). Knowing in the context of acting: the task dynamics of the a-not-b error. Psychological Review, 106 (2), 235-260.
– reference: Thelen, E., Schöner, G., Scheier, C., & Smith, L. (2001). The dynamics of embodiment: a field theory of infant perseverative reaching. Brain and Behavioral Sciences, 24, 1-33.
– volume: 113
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  article-title: Using dynamic field theory to rethink infant habituation
  publication-title: Psychological Review
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  year: 1998
  end-page: 184
  article-title: Infant perseveration and implications for object permanence theories: a PDP model of the A‐not‐B task
  publication-title: Developmental Science
– volume: 40
  start-page: 255
  year: 2002
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Snippet That competences may emerge given appropriate environmental and behavioral context is a long‐standing theme in developmental research. Work in the motor...
That competences may emerge given appropriate environmental and behavioral context is a long-standing theme in developmental research. Work in the motor...
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SubjectTerms Child
Child Development - physiology
Cognition & reasoning
Cognition - physiology
Cognitive Development
Developmental psychology
Humans
Learning - physiology
Learning Processes
Models, Neurological
Motor ability
Motor Development
Motor Skills - physiology
Neurosciences
Physical Activity Level
Psychological Theory
Psychomotor Performance - physiology
Theory
Thinking Skills
Title Dynamic instabilities as mechanisms for emergence
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https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fj.1467-7687.2007.00566.x
http://eric.ed.gov/ERICWebPortal/detail?accno=EJ849107
https://www.ncbi.nlm.nih.gov/pubmed/17181702
https://www.proquest.com/docview/201701793
https://www.proquest.com/docview/68380461
Volume 10
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