Connectionist Models of Memory and Language (PLE: Memory) (eBook, ePUB)

Redaktion: Levy, Joseph P.; Cairns, Paul; Bullinaria, John; Bairaktaris, Dimitrios

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 352
• Erscheinungstermin: 9. Mai 2014
• Englisch
• ISBN-13: 9781317744672
• Artikelnr.: 40884599

Autorenporträt

Levy, Joseph P.; Bairaktaris, Dimitrios; Bullinaria, John; Cairns, Paul

Inhaltsangabe

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.