1st Edition

Connectionist Models of Memory and Language (PLE: Memory)





ISBN 9781138971530
Published December 30, 2015 by Psychology Press
352 Pages

USD $54.95

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Book Description

Connectionist modelling and neural network applications had become a major sub-field of cognitive science by the mid-1990s. In this ground-breaking book, originally published in 1995, leading connectionists shed light on current approaches to memory and language modelling at the time.

The book is divided into four sections: Memory; Reading; Computation and statistics; Speech and audition. Each section is introduced and set in context by the editors, allowing a wide range of language and memory issues to be addressed in one volume.

This authoritative advanced level book will still be of interest for all engaged in connectionist research and the related areas of cognitive science concerned with language and memory.

Table of Contents

Preface.  Acknowledgements.  Contributors.  Section 1: Memory  1. David W. Glasspool Competitive Queuing and the Articulatory Loop  2. Dimitrios Bairaktaris Temporal Chunking and Synchronization Using a Modular Recurrent Network Architecture  3. Gordon D. A. Brown, Tim Preece, Charles Hulme Learning to Learn in a Connectionist Network: The Development of Associative Learning  4. Noel E. Sharkey and Amanda J.C. Sharkey Interference and Discrimination in Neural Net Memory  5. Jacob M.J. Murre Transferof Learning in Back-propagation and in Related Neural Network Models  6. Joseph P. Levy and Dimitrios Bairaktaris Interactions Between Short- and Long-term Weights: Applications for Cognitive Modelling  Section 2: Reading  7. Robert I. Damper Self-learning and Connectionist Approaches to Text–Phoneme Conversion  8. David C. Plaut, James L. McClelland Mark S. Seidenberg Reading Exception Words and Pseudowords: Are Two Routes Really Necessary?  9. John A. Bullinaria Neural Network Models of Reading: Solving the Alignment Problem without Wickelfeatures  Section 3: Computation and Statistics  10. Robert W. Kentridge Cortical Neurocomputation, Language and Cognition  11. Nick Chater Neural Networks: The New Statistical Models of Mind  12. Steve Finch, Nick Chater, Martin Redington Acquiring Syntactic Information from Distributional Statistics  Section 4: Speech and Audition  13. Leslie S. Smith Onset/Offset Filters for the Segmentation of Sound  14. Mukhlis Abu-Bakar and Nick Chater Time-warping Tasks and Recurrent Neural Networks  15. Paul Cairns, Richard Shillcock, Nick Chater, Joseph P. Levy Bottom-up Connectionist Modelling of Speech  16. Trevor A. Harley and Siobhan B.G. MacAndrew.  Index.

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