Associative neural memories - a class of artificial neural networks - are among the most extensively studied and best understood neural paradigms. This volume brings together a summary of significant works on associative neural memory and hardware implementation by leading international researchers. Associative Neural Memories is divided into an introductory chapter and four sections: Biological and Psychological Connections, Artificial Associative Neural Memory Models, Analysis of Memory Dynamics and Capacity, and Implementation.
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"This wide-ranging book delivers precisely what it clearly promises." --Simulator Quarterly "Some of the papers will be cited as reference for many years to come....The single most important book for the applied neural networks community that I reviewed in this group. Neural networkers will want to read this collection from cover to cover." --Philip Chapnick, AI Expert "This volume brings together significant papers on associative neural memory theory (architecture, learning, analysis, and design) and hardware implementation (VLSI and opto-electronic) by leading international researchers."--Quarterly of Applied Mathematics
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