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.

part |4 pages


chapter 1|26 pages

Competitive queuing and the articulatory loop

ByDavid W. Glasspool

chapter 3|16 pages

Learning to learn in a connectionist network: the development of associative learning

ByGordon D. A. Brown, Tim Preece, Charles Hulme

chapter 4|16 pages

Interference and discrimination in neural net memory

ByNoel E. Sharkey & Amanda. J. C. Sharkey

chapter 6|242 pages

Interactions between short- and long-term weights: applications for cognitive modelling

ByJoseph P. Levy & Dimitrios Bairaktaris