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Statistical Mechanics of Neural Networks

Overview of attention for book
Cover of 'Statistical Mechanics of Neural Networks'

Table of Contents

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    Book Overview
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    Chapter 36 Introduction On the statistical-mechanical formulation of neural networks
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    Chapter 37 Model neurons: From Hodgkin-Huxley to hopfield
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    Chapter 38 Statistical mechanics for networks of analog neurons
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    Chapter 39 Properties of neural networks with multi-state neurons
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    Chapter 40 Adaptive recurrent neural networks and dynamic stability
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    Chapter 41 Neuronal oscillators: Experiments and models
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    Chapter 42 Neuronal networks in the hippocampus involved in memory
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    Chapter 43 Basins of attraction and spurious states in neural networks
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    Chapter 44 Tailoring the performance of attractor neural networks
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    Chapter 45 Learning and optimization
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    Chapter 46 Statistical dynamics of learning
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    Chapter 47 Learning and retrieving marked patterns
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    Chapter 48 Learning algorithm for binary synapses
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    Chapter 49 Statistical mechanics of the perceptron with maximal stability
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    Chapter 50 Simulation and hardware implementation of competitive learning neural networks
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    Chapter 51 Learning in multilayer networks: A geometric computational approach
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    Chapter 52 Storage capacity of diluted neural networks
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    Chapter 53 Dynamics and storage capacity of neural networks with sign-constrained weights
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    Chapter 54 The neural basis of the locomotion of nematodes
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    Chapter 55 Reversibility in neural processing systems
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    Chapter 56 Lyapunov functional for neural networks with delayed interactions and statistical mechanics of temporal associations
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    Chapter 57 Semi-local signal processing in the visual system
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    Chapter 58 Statistical mechanics and error-correcting codes
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    Chapter 59 Synergetic computers — An alternative to neurocomputers
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    Chapter 60 Dynamics of the Kohonen map
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    Chapter 61 Equivalence between connectionist classifiers and logical classifiers
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    Chapter 62 On Potts-glass neural networks with biased patterns
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    Chapter 63 Ising-spin neural networks with spatial structure
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    Chapter 64 Kinetically disordered lattice systems
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    Chapter 65 A programming system for implementing neural nets
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    Chapter 66 An auto-augmenting neural network architecture for diagnostic reasoning
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    Chapter 67 Formal integrators and neural networks
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    Chapter 68 Disordered models of acquired dyslexia
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    Chapter 69 Higher order memories in optimally structured neural networks
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    Chapter 70 Random Boolean networks for autoassociative memory: Optimization and sequential learning
Overall attention for this book and its chapters
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Mentioned by

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1 X user

Citations

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Readers on

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Title
Statistical Mechanics of Neural Networks
Published by
ADS, January 2006
DOI 10.1007/3-540-53267-6
ISBNs
978-3-54-053267-5, 978-3-54-046808-0
Editors

Garrido, Luis

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 13%
Unknown 7 88%
Readers by discipline Count As %
Computer Science 1 13%
Unknown 7 88%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 April 2015.
All research outputs
#18,661,637
of 23,120,280 outputs
Outputs from ADS
#31,629
of 37,520 outputs
Outputs of similar age
#149,517
of 156,723 outputs
Outputs of similar age from ADS
#410
of 436 outputs
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So far Altmetric has tracked 37,520 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
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We're also able to compare this research output to 436 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.