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Emergent Complexity from Nonlinearity, in Physics, Engineering and the Life Sciences

Overview of attention for book
Cover of 'Emergent Complexity from Nonlinearity, in Physics, Engineering and the Life Sciences'

Table of Contents

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    Book Overview
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    Chapter 1 Nonlinear Systems Characterization Using Phase Space Density
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    Chapter 2 Complex Bifurcation of Arnol’d Tongues Generated in Three-Coupled Delayed Logistic Maps
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    Chapter 3 Phase Response Properties of Rulkov Model Neurons
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    Chapter 4 Treating Many-Body Quantum Systems by Means of Classical Mechanics
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    Chapter 5 Mean-Field Transport of a Bose-Einstein Condensate
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    Chapter 6 Continuous and Differentiable Approximation of a TaO Memristor Model for Robust Numerical Simulations
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    Chapter 7 Ultrawideband Microwave 3–7 GHz Chaotic Oscillator Implemented as SiGe Integrated Circuit
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    Chapter 8 Cryptanalysis of a Random Number Generator Based on a Chaotic Oscillator
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    Chapter 9 Experiments on Clustering and Synchronous Patterns in a Configurable Network of Chaotic Oscillators
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    Chapter 10 Complex Structures and Behavior from Elementary Adaptive Network Automata
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    Chapter 11 Hebbian Learning Clustering with Rulkov Neurons
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    Chapter 12 Network Physiology: From Neural Plasticity to Organ Network Interactions
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    Chapter 13 Temporal Excitation Patterns on the Cerebral Cortex as a Result of Migraine Modeling
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    Chapter 14 Persistent Memories in Transient Networks
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    Chapter 15 A Multiplex Network Model to Characterize Brain Atrophy in Structural MRI
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    Chapter 16 Topological Complex Networks Properties for Gene Community Detection Strategy: DRD2 Case Study
  18. Altmetric Badge
    Chapter 17 Power Laws in Neuronal Culture Activity from Limited Availability of a Shared Resource
Attention for Chapter 14: Persistent Memories in Transient Networks
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Mentioned by

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2 X users

Citations

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Chapter title
Persistent Memories in Transient Networks
Chapter number 14
Book title
Emergent Complexity from Nonlinearity, in Physics, Engineering and the Life Sciences
Published in
arXiv, January 2017
DOI 10.1007/978-3-319-47810-4_14
Book ISBNs
978-3-31-947808-1, 978-3-31-947810-4
Authors

Andrey Babichev, Yuri Dabaghian, Babichev, Andrey, Dabaghian, Yuri

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 11%
Slovenia 1 11%
Unknown 7 78%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 44%
Professor 1 11%
Student > Bachelor 1 11%
Researcher 1 11%
Unknown 2 22%
Readers by discipline Count As %
Neuroscience 3 33%
Computer Science 2 22%
Materials Science 1 11%
Engineering 1 11%
Unknown 2 22%
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 03 February 2016.
All research outputs
#17,783,561
of 22,842,950 outputs
Outputs from arXiv
#439,680
of 937,741 outputs
Outputs of similar age
#293,281
of 420,247 outputs
Outputs of similar age from arXiv
#8,684
of 16,541 outputs
Altmetric has tracked 22,842,950 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 937,741 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 420,247 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16,541 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.