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

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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
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    Chapter 17 Power Laws in Neuronal Culture Activity from Limited Availability of a Shared Resource
Attention for Chapter 13: Temporal Excitation Patterns on the Cerebral Cortex as a Result of Migraine Modeling
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Chapter title
Temporal Excitation Patterns on the Cerebral Cortex as a Result of Migraine Modeling
Chapter number 13
Book title
Emergent Complexity from Nonlinearity, in Physics, Engineering and the Life Sciences
Published in
ADS, January 2017
DOI 10.1007/978-3-319-47810-4_13
Book ISBNs
978-3-31-947808-1, 978-3-31-947810-4
Authors

Julia M. Kroos, Ibai Diez, Jesus M. Cortes, Sebastiano Stramaglia, Luca Gerardo-Giorda

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 %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Student > Postgraduate 3 33%
Researcher 1 11%
Unknown 2 22%
Readers by discipline Count As %
Mathematics 3 33%
Medicine and Dentistry 2 22%
Neuroscience 1 11%
Engineering 1 11%
Unknown 2 22%