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.

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Produktdetails

• Verlag: Taylor & Francis
• 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.