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Connectionist Models of Learning, Development and Evolution

Proceedings of the Sixth Neural Computation and Psychology Workshop, Liège, Belgium, 16–18 September 2000

  • Conference proceedings
  • © 2001

Overview

Editors:
  1. Robert M. French

    1. Quantitative Psychology and Cognitive Science, Department of Psychology (B32), University of Liège, Belgium

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  2. Jacques P. Sougné

    1. Quantitative Psychology and Cognitive Science, Department of Psychology (B32), University of Liège, Belgium

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    You can also search for this editor in PubMed   Google Scholar

  • Provides the reader with the state-of-the-art in psychological aspects of connectionist modelling

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

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Table of contents (30 papers)

  1. Front Matter

    Pages I-XVI
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  2. Neural Basis of Cognition

    1. Front Matter

      Pages 1-1
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    2. Applying Neuroanatomical Distinctions to Connectionist Cognitive Modelling

      • Padraic Monaghan, Richard Shillcock
      Pages 3-12

    3. Pseudopatterns and dual-network memory models: Advantages and shortcomings

      • Robert M. French, Bernard Ans, Stéphane Rousset
      Pages 13-22

    4. A Learning Algorithm for Synfire Chains

      • Jacques Sougné
      Pages 23-32

    5. Towards a Spatio-Temporal Analysis Tool for fMRI Data: An Application to Depth-from-Motion Processing in Humans

      • P. A. De Mazière, M. M. Van Hulle
      Pages 33-42

    6. A Simple Model Exhibiting Scalar Timing

      • J. L. Shapiro, John Wearden, Rossano Barone
      Pages 43-52

    7. Modularity and Specialized Learning in the Organization of Behaviour

      • Joanna Bryson, Lynn Andrea Stein
      Pages 53-62

    8. Modeling Modulatory Aspects in Association Processes

      • Jairo Diniz-Filho, Teresa Bernarda Ludermir
      Pages 63-72

    9. Recognition of Novelty Made Easy: Constraints of Channel Capacity on Generative Networks

      • A. Lőrincz, B. Szatmáry, G. Szirtes, B. Takács
      Pages 73-82

    10. A Biologically Plausible Maturation of an ART Network

      • Maartje E. J. Raijmakers, Peter C. M. Molenaar
      Pages 83-91

  3. Development and Category Learning

    1. Front Matter

      Pages 93-93
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    2. Developing Knowledge about Living Things: A Connectionist Investigation

      • Samantha J. Hartley
      Pages 95-104

    3. Paying Attention to Relevant Dimensions: A Localist Approach

      • Mike Page
      Pages 105-112

    4. Coordinating Multiple Sensory Modalities While Learning to Reach

      • Matthew Schlesinger, Domenico Parisi
      Pages 113-122

    5. Modelling Cognitive Development with Constructivist Neural Networks

      • Gert Westermann
      Pages 123-132

    6. Learning Action Affordances and Action Schemas

      • Richard Cooper, David Glasspool
      Pages 133-142

    7. A Three-Layer Configural Cue Model of Category Learning Rates

      • Paul Bartos, Martin Le Voi
      Pages 143-152

    8. A Revival of Turing’s Forgotten Connectionist Ideas: Exploring Unorganized Machines

      • Christof Teuscher, Eduardo Sanchez
      Pages 153-162

    9. Visual Crowding and Category-Specific Deficits: a Neural Network Model

      • John Done, Tim M. Gale, Ray J. Frank
      Pages 163-171
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Keywords

Editors and Affiliations

  • Quantitative Psychology and Cognitive Science, Department of Psychology (B32), University of Liège, Belgium

    Robert M. French, Jacques P. Sougné

Bibliographic Information

  • Book Title: Connectionist Models of Learning, Development and Evolution

  • Book Subtitle: Proceedings of the Sixth Neural Computation and Psychology Workshop, Liège, Belgium, 16–18 September 2000

  • Editors: Robert M. French, Jacques P. Sougné

  • Series Title: Perspectives in Neural Computing

  • DOI: https://doi.org/10.1007/978-1-4471-0281-6

  • Publisher: Springer London

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag London 2001

  • Softcover ISBN: 978-1-85233-354-6Published: 23 March 2001

  • eBook ISBN: 978-1-4471-0281-6Published: 06 December 2012

  • Series ISSN: 1431-6854

  • Edition Number: 1

  • Number of Pages: XVI, 322

  • Number of Illustrations: 86 b/w illustrations

  • Topics: General Psychology, Artificial Intelligence, Health Informatics

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