Connectionist Models of Memory and Language (PLE Memory) [Hardcover]

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.

Preface.  Acknowledgements.  Contributors.  Section 1: Memory  1. David W. GlasspoolCompetitive Queuing and the Articulatory Loop  2. Dimitrios BairaktarisTemporal Chunking and Synchronization Using a Modular Recurrent Network Architecture  3. Gordon D. A. Brown, Tim Preece, Charles HulmeLearning to Learn in a Connectionist Network: The Development of Associative Learning  4. Noel E. Sharkey and Amanda J.C. SharkeyInterference and Discrimination in Neural Net Memory  5. Jacob M.J. MurreTransferof Learning in Back-propagation and in Related Neural Network Models  6. Joseph P. Levy andDimitrios BairaktarisInteractions Between Short- and Long-term Weights: Applications for Cognitive Modelling  Section 2: Reading  7. Robert I. DamperSelf-learning and Connectionist Approaches to TextPhoneme Conversion  8. David C. Plaut, James L. McClelland Mark S. SeidenbergReading Exception Words and Pseudowords: Are Two Routes Really Necessary?  9. John A. Bullinaria