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Models of Neural Networks I
Overview of attention for book
Table of Contents
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Book Overview
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Chapter 1
Collective Phenomena in Neural Networks
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Chapter 2
Information from Structure: A Sketch of Neuroanatomy
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Chapter 3
Storage Capacity and Learning in Ising-Spin Neural Networks
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Chapter 4
Dynamics of Learning
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Chapter 5
Hierarchical Organization of Memory
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Chapter 6
Asymmetrically Diluted Neural Networks
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Chapter 7
Temporal Association
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Chapter 8
Self-organizing Maps and Adaptive Filters
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Chapter 9
Layered Neural Networks
Overall attention for this book and its chapters
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About this Attention Score
Good Attention Score compared to outputs of the same age (74th percentile)
Good Attention Score compared to outputs of the same age and source (76th percentile)
Mentioned by
syllabi
2
institutions with syllabi
wikipedia
1
Wikipedia page
Citations
dimensions_citation
14
Dimensions
Readers on
mendeley
3
Mendeley
Book overview
1. Collective Phenomena in Neural Networks
2. Information from Structure: A Sketch of Neuroanatomy
3. Storage Capacity and Learning in Ising-Spin Neural Networks
4. Dynamics of Learning
5. Hierarchical Organization of Memory
6. Asymmetrically Diluted Neural Networks
7. Temporal Association
8. Self-organizing Maps and Adaptive Filters
9. Layered Neural Networks
Summary
Syllabi
Wikipedia
Dimensions citations
This data is correct as of December 2015 - for more up to date information, please visit
https://opensyllabus.org/
So far, Altmetric has seen this research output assigned in
3
syllabi from
2
institutions on Open Syllabus Project.
Institution
Syllabi count
Course subject areas covered
University of Southern California
2
Unknown
California Institute of Technology
1
Engineering, Biology, Medicine