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4th Neural Computation and Psychology Workshop, London, 9–11 April 1997 pp 269–282Cite as

Dynamic Representation of Structural Constraints in Models of Serial Behaviour

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Part of the book series: Perspectives in Neural Computing ((PERSPECT.NEURAL))

Abstract

The Competitive Queuing (CQ) approach to the generation of serial order views sequential behaviour as the result of competition between a set of alternative responses all activated in parallel. This type of model can show a general error pattern when damaged which is very like that of psychological subjects in several different modalities and paradigms. However, many forms of serial behaviour are subject to tight, domain-specific constraints on just which sequences can be produced. Such constraints are revealed in the fine structure of the errors which subjects make. This paper identifies two general strategies for the representation of such domain-specific sequential constraints within the overall framework of CQ. These approaches are discussed in the context of a number of different models in the domains of speech generation and spelling.

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Author information

Authors and Affiliations

  1. Department of Psychology, University College London, England

    David W. Glasspool & George Houghton

Authors
  1. David W. Glasspool
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  2. George Houghton
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Editor information

Editors and Affiliations

  1. Centre for Speech and Language, Department of Psychology, Birkbeck College, University of London, Malet Street, WC1E 7HX, London, UK

    John A. Bullinaria BSc, MSc, PhD

  2. Department of Psychology, University College London, Gower Street, WC1E 6BT, London, UK

    David W. Glasspool BSc, Msc  & George Houghton BA, MSc, PhD  & 

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© 1998 Springer-Verlag London Limited

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Glasspool, D.W., Houghton, G. (1998). Dynamic Representation of Structural Constraints in Models of Serial Behaviour. In: Bullinaria, J.A., Glasspool, D.W., Houghton, G. (eds) 4th Neural Computation and Psychology Workshop, London, 9–11 April 1997. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-1546-5_21

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  • DOI: https://doi.org/10.1007/978-1-4471-1546-5_21

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-76208-9

  • Online ISBN: 978-1-4471-1546-5

  • eBook Packages: Springer Book Archive

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