Selected Papers Of Daniel Amit (1938-2007)

Author:   Giorgio Parisi (Univ Degli Studi Di Roma ""La Sapienza"", Italy) ,  Nicolas Brunel (Univ Of Chicago, Usa) ,  Paolo Del Giudice (Inst Superiore Di Sanita, Italy) ,  Misha Tsodyks (Weizmann Inst Of Sci, Israel)
Publisher:   World Scientific Publishing Co Pte Ltd
ISBN:  

9789814383653


Pages:   484
Publication Date:   18 March 2013
Format:   Hardback
Availability:   In Print   Availability explained
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Selected Papers Of Daniel Amit (1938-2007)


Overview

This book provides a selection of papers of the late Daniel Amit (1938-2007). Daniel Amit was a physicist who spent the last 22 years of his life working on neural network models. He was one of the pioneers in the field. The volume contains 21 papers, from the highly influential 1985 paper on the Hopfield model (published together with Hanoch Gutfreund and Haim Sompolinsky), to his last (unpublished) manuscript. Many of these papers are landmark papers in the field. The book also provides a biography; an introduction on Daniel Amit's scientific career before the Hopfield model; and introductions to each of the included papers, written by their co-authors. This book will be of interest to physicists, computational neuroscientists and neurobiologists.

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Author:   Giorgio Parisi (Univ Degli Studi Di Roma ""La Sapienza"", Italy) ,  Nicolas Brunel (Univ Of Chicago, Usa) ,  Paolo Del Giudice (Inst Superiore Di Sanita, Italy) ,  Misha Tsodyks (Weizmann Inst Of Sci, Israel)
Publisher:   World Scientific Publishing Co Pte Ltd
Imprint:   World Scientific Publishing Co Pte Ltd
Dimensions:   Width: 19.30cm , Height: 2.50cm , Length: 26.20cm
Weight:   1.247kg
ISBN:  

9789814383653


ISBN 10:   9814383651
Pages:   484
Publication Date:   18 March 2013
Audience:   College/higher education ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Introduction; The Hopfield Model; A Network Counting Chimes; Associative Memory Networks at Low Rates; Towards Networks of Spiking Neurons; The Miyashita Correlations; Learning in Networks with Discrete Synapses; The BBS Review; Dynamics of Networks of Spiking Neurons; Electronic Implementations; Prospective Activity; Multi-Item Working Memory; Learning with Spike-Driven Plastic Synapses; Familiarity Recognition; Unpublished Manuscript.

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