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1
Moving word learning to a novel space: A dynamic systems view of referent selection and retention
BASE
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2
Integrating "what" and "where" : visual working memory for objects in a scene
In: Dynamic thinking (Oxford, 2016), p. 197-226
MPI für Psycholinguistik
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3
Conclusions : a "how-to" guide to modeling with dynamic field theory
In: Dynamic thinking (Oxford, 2016), p. 369-388
MPI für Psycholinguistik
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4
Integrating thinking over multiple timescales : introduction
In: Dynamic thinking (Oxford, 2016), p. 247-250
MPI für Psycholinguistik
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5
Foundations of dynamic field theory
In: Dynamic thinking (Oxford, 2016), p. 1-4
MPI für Psycholinguistik
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6
Integrating lower-level perception-action with higher-level cognition : introduction
In: Dynamic thinking (Oxford, 2016), p. 119-120
MPI für Psycholinguistik
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7
General introduction
In: Dynamic thinking (Oxford, 2016), p. XI-XVII
MPI für Psycholinguistik
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8
Integration and selection in multidimensional dynamic fields
In: Dynamic thinking (Oxford, 2016), p. 121-150
MPI für Psycholinguistik
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9
Dynamic thinking : a primer on dynamic field theory
Schöner, Gregor; DFT Research Group; Spencer, John P.. - Oxford : Oxford University Press, 2016
MPI für Psycholinguistik
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10
Dynamic-field based task dynamic application (DFTaDA): An embodied model of speech production ...
Jackson, Eric S.; Spencer, John P; Hosung Nam. - : Unpublished, 2016
BASE
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11
Moving Word Learning to a Novel Space: A Dynamic Systems View of Referent Selection and Retention
BASE
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12
Validating a new methodology for optical probe design and image registration in fNIRS studies
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13
Non-Bayesian noun generalization in 3- to 5-year-old children:Probing the role of prior knowledge in the suspicious coincidence effect
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14
Non-Bayesian noun generalization in 3- to 5-year-old children: Probing the role of prior knowledge in the suspicious coincidence effect
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15
Autonomy in Action: Linking the Act of Looking to Memory Formation in Infancy via Dynamic Neural Fields
In: Cognitive science. - Hoboken, NJ : Wiley-Blackwell 37 (2013) 1, 1-60
OLC Linguistik
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16
A dynamic neural field model of word learning
BASE
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17
Contributions of Dynamic Systems Theory to Cognitive Development
Abstract: This paper examines the contributions of dynamic systems theory to the field of cognitive development, focusing on modeling using dynamic neural fields. A brief overview highlights the contributions of dynamic systems theory and the central concepts of dynamic field theory (DFT). We then probe empirical predictions and findings generated by DFT around two examples—the DFT of infant perseverative reaching that explains the Piagetian A-not-B error, and the DFT of spatial memory that explain changes in spatial cognition in early development. A systematic review of the literature around these examples reveals that computational modeling is having an impact on empirical research in cognitive development; however, this impact does not extend to neural and clinical research. Moreover, there is a tendency for researchers to interpret models narrowly, anchoring them to specific tasks. We conclude on an optimistic note, encouraging both theoreticians and experimentalists to work toward a more theory-driven future.
Keyword: Article
URL: https://doi.org/10.1016/j.cogdev.2012.07.006
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4454421/
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18
A neurobehavioral model of flexible spatial language behaviors.
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19
When seeing is knowing: The role of visual cues in the dissociation between children’s rule knowledge and rule use
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20
Contributions of Dynamic Systems Theory to Cognitive Development
In: Faculty Publications, Department of Psychology (2012)
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