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Cited by 260

The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.

Active versus latent representations: A neural network model of perseveration, dissociation, and decalage

Open access
Morton, J. Bruce, Munakata, Yuko·2002·Developmental Psychobiology
DOI 10.1002/dev.10033
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Abstract

Children of different ages often perseverate, repeating previous behaviors when they are no longer appropriate, despite appearing to know what they should be doing. Using neural network models, we explore an account of these phenomena based on a distinction between active memory (subserved by the prefrontal cortex) and latent memory (subserved by posterior cortex). The models demonstrate how (a) perseveration occurs when an active memory of currently relevant knowledge is insufficiently strong to overcome a latent bias established by previous experience, (b) apparent dissociations between children's knowledge and action may reflect differences in the amount of conflict between active and latent memories that children need to resolve in the tasks, and (c) differences in when children master formally similar tasks (decalage) may result from differences in the strength of children's initial biases. The models help to clarify how prefrontal development may lead to advances in flexible thinking. © 2002 Wiley Periodicals, Inc. Dev Psychobiol 40: 255–265, 2002. DOI 10.1002/dev.10033

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Metadata

Authors
Morton, J. B., & Munakata, Y.
Venue
Developmental Psychobiology
Publisher
Wiley
Published
2002-02-27
Volume
40
Issue
3
Pages
255-265
ISSN
  • 0012-1630 (ISSN-L)
  • 1098-2302
DOI
10.1002/dev.10033
OpenAlex
W2048156448
Cited by
260
References
52
FWCI
13.88
Type
journal article
Language
en
Open access
bronze

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