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Connectionist Models in Cognitive Neuroscience

The 5th Neural Computation and Psychology Workshop, Birmingham, 8–10 September 1998

  • Conference proceedings
  • © 1999

Overview

Editors:
  1. Dietmar Heinke

    1. School of Psychology, University of Birmingham, Birmingham, UK

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  2. Glynn W. Humphreys

    1. School of Psychology, University of Birmingham, Birmingham, UK

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  3. Andrew Olson

    1. School of Psychology, University of Birmingham, Birmingham, UK

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  • Will provide a state of the art survey of the interplay between cognitive neuroscience and psychology Will provide background reading for final year option courses and masters courses in cognitive science and neuroscience

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

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Table of contents (25 papers)

  1. Front Matter

    Pages I-XVI
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  2. Language Processes

    1. Front Matter

      Pages 1-1
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    2. The SPLIT Model of Visual Word Recognition: Complementary Connectionist and Statistical Cognitive Modelling

      • Richard Shillcock, Padraic Monaghan, T. Mark Ellison
      Pages 3-12

    3. Modelling Early Stages of Word Recognition: Case and the Peripheral Dyslexias

      • Kate Mayall, Andrew Olson, Glyn W. Humphreys
      Pages 13-24

    4. Competitive Queuing and Spelling: Modelling Acquired Dysgraphia

      • Jamie Ward, Andrew Olson, Cristina Romani
      Pages 25-39

    5. Neuropsychologically plausible sequence generation in a multi-layer network model of spelling

      • David W. Glasspool, Tim Shallice, Lisa Cipolotti
      Pages 40-51

    6. Connectionist Dissociations, Confounding Factors and Modularity

      • John A. Bullinaria
      Pages 52-63

  3. The Frontal Lobes and Episodic Memory

    1. Front Matter

      Pages 65-65
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    2. Investigating the Role of Multimodal and Unimodal Cells of the Prefrontal Cortex Using a Computational Model of Working Memory

      • Oury Monchi, John G. Taylor
      Pages 67-77

    3. Short Term Memory and Selection Processes in a Frontal-Lobe Model

      • Marius Usher, Jonathan D. Cohen
      Pages 78-91

    4. Experimenting with Models of the Frontal Lobes

      • Neill R. Taylor, John G. Taylor
      Pages 92-101

    5. Towards an Emotional Robot: Simulating Hippocampal-Mediated Anxiety

      • John F. Kazer, Amanda J. C. Sharkey
      Pages 102-111

    6. A Connectionist Model for Frequency Effects in Recall and Recognition

      • Sverker Sikström
      Pages 112-123

  4. Semantic Memory

    1. Front Matter

      Pages 125-125
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    2. Semantic Judgement Errors in Parkinson’s Disease: The Role of Priming

      • Malti Patel, Paul A. Watters
      Pages 127-136

    3. Category-Specific Deficits in a Self-Organizing Model of the Lexical-Semantic System

      • Marco Zorzi, Conrad Perry, Jo Ziegler, Max Coltheart
      Pages 137-148

    4. What Causes Lexical Access Difficulties in Dementia? The Role of Covert Category-specificity

      • Trevor A. Harley, Siobhan B. G. MacAndrew
      Pages 149-158

    5. Feature Distributions and Experimental Evaluation in a Connectionist Model of Semantic Memory

      • Samantha J. Hartley, Tony J. Prescott, Roderick I. Nicolson
      Pages 159-169

    6. Stochastic double dissociations in distributed models of semantic memory

      • Michael S. C. Thomas, Nicola M. de Wet
      Pages 170-183

    7. Systematicity and Specialization in Semantics

      • David C. Plaut
      Pages 184-193
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Keywords

About this book

1. Introdudion This volume collects together the refereed versions of 25 papers presented at the 5th Neural Computation and Psychology Workshop (NCPW5), held at the University of Birmingham from the 8th until the lOth of September 1998. The NCPW is a well-established, lively forum, which brings together researchers from a range of disciplines (artificial intelligence, mathematics, cognitive science, computer science, neurobiology, philosophy and psychology), all of whom are interested in the application of neurally-inspired (connectionist) models to topics in psychology. The theme of the 5th workshop in the series was Connectionist models in cognitive neuroscience', and the workshop aimed to bring together papers focused on the inter-relations between functional (psychological) accounts of cognition and neural accounts of underlying brain processes, linked by connectionist models. From the very beginnings of modern psychology, with the work of William James and his contemporaries, researchers have believed it important to relate behavioural analyses to neurological underpinnings. However, with the advent of connectionist modelling, where models are at least inspired by neuronal processes, this enterprise has received a new boost. With this volume, we hope that this volume adds one further mosaic stone to this ambitious objective, of unifying functional and neuronal accounts of performance.

Editors and Affiliations

  • School of Psychology, University of Birmingham, Birmingham, UK

    Dietmar Heinke, Glynn W. Humphreys, Andrew Olson

Bibliographic Information

  • Book Title: Connectionist Models in Cognitive Neuroscience

  • Book Subtitle: The 5th Neural Computation and Psychology Workshop, Birmingham, 8–10 September 1998

  • Editors: Dietmar Heinke, Glynn W. Humphreys, Andrew Olson

  • Series Title: Perspectives in Neural Computing

  • DOI: https://doi.org/10.1007/978-1-4471-0813-9

  • Publisher: Springer London

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag London Limited 1999

  • Softcover ISBN: 978-1-85233-052-1Published: 05 February 1999

  • eBook ISBN: 978-1-4471-0813-9Published: 06 December 2012

  • Series ISSN: 1431-6854

  • Edition Number: 1

  • Number of Pages: XVI, 299

  • Number of Illustrations: 51 b/w illustrations

  • Topics: Artificial Intelligence, Pattern Recognition

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