Structured patterns of activity in pulse-coupled oscillator networks with varied connectivity.
Identifying coordinated activity within complex systems is essential to linking their structure and function. We study collective activity in networks of pulse-coupled oscillators that have variable network connectivity and integrate-and-fire dynamics. Starting from random initial conditions, we see...
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2021
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oai:doaj.org-article:2cef5d55b516414f8cd6bf0abb8a87ed2021-12-02T20:18:21ZStructured patterns of activity in pulse-coupled oscillator networks with varied connectivity.1932-620310.1371/journal.pone.0256034https://doaj.org/article/2cef5d55b516414f8cd6bf0abb8a87ed2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0256034https://doaj.org/toc/1932-6203Identifying coordinated activity within complex systems is essential to linking their structure and function. We study collective activity in networks of pulse-coupled oscillators that have variable network connectivity and integrate-and-fire dynamics. Starting from random initial conditions, we see the emergence of three broad classes of behaviors that differ in their collective spiking statistics. In the first class ("temporally-irregular"), all nodes have variable inter-spike intervals, and the resulting firing patterns are irregular. In the second ("temporally-regular"), the network generates a coherent, repeating pattern of activity in which all nodes fire with the same constant inter-spike interval. In the third ("chimeric"), subgroups of coherently-firing nodes coexist with temporally-irregular nodes. Chimera states have previously been observed in networks of oscillators; here, we find that the notions of temporally-regular and chimeric states encompass a much richer set of dynamical patterns than has yet been described. We also find that degree heterogeneity and connection density have a strong effect on the resulting state: in binomial random networks, high degree variance and intermediate connection density tend to produce temporally-irregular dynamics, while low degree variance and high connection density tend to produce temporally-regular dynamics. Chimera states arise with more frequency in networks with intermediate degree variance and either high or low connection densities. Finally, we demonstrate that a normalized compression distance, computed via the Lempel-Ziv complexity of nodal spike trains, can be used to distinguish these three classes of behavior even when the phase relationship between nodes is arbitrary.Kyra L KadhimAnn M HermundstadKevin S BrownPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 8, p e0256034 (2021) |
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Medicine R Science Q Kyra L Kadhim Ann M Hermundstad Kevin S Brown Structured patterns of activity in pulse-coupled oscillator networks with varied connectivity. |
description |
Identifying coordinated activity within complex systems is essential to linking their structure and function. We study collective activity in networks of pulse-coupled oscillators that have variable network connectivity and integrate-and-fire dynamics. Starting from random initial conditions, we see the emergence of three broad classes of behaviors that differ in their collective spiking statistics. In the first class ("temporally-irregular"), all nodes have variable inter-spike intervals, and the resulting firing patterns are irregular. In the second ("temporally-regular"), the network generates a coherent, repeating pattern of activity in which all nodes fire with the same constant inter-spike interval. In the third ("chimeric"), subgroups of coherently-firing nodes coexist with temporally-irregular nodes. Chimera states have previously been observed in networks of oscillators; here, we find that the notions of temporally-regular and chimeric states encompass a much richer set of dynamical patterns than has yet been described. We also find that degree heterogeneity and connection density have a strong effect on the resulting state: in binomial random networks, high degree variance and intermediate connection density tend to produce temporally-irregular dynamics, while low degree variance and high connection density tend to produce temporally-regular dynamics. Chimera states arise with more frequency in networks with intermediate degree variance and either high or low connection densities. Finally, we demonstrate that a normalized compression distance, computed via the Lempel-Ziv complexity of nodal spike trains, can be used to distinguish these three classes of behavior even when the phase relationship between nodes is arbitrary. |
format |
article |
author |
Kyra L Kadhim Ann M Hermundstad Kevin S Brown |
author_facet |
Kyra L Kadhim Ann M Hermundstad Kevin S Brown |
author_sort |
Kyra L Kadhim |
title |
Structured patterns of activity in pulse-coupled oscillator networks with varied connectivity. |
title_short |
Structured patterns of activity in pulse-coupled oscillator networks with varied connectivity. |
title_full |
Structured patterns of activity in pulse-coupled oscillator networks with varied connectivity. |
title_fullStr |
Structured patterns of activity in pulse-coupled oscillator networks with varied connectivity. |
title_full_unstemmed |
Structured patterns of activity in pulse-coupled oscillator networks with varied connectivity. |
title_sort |
structured patterns of activity in pulse-coupled oscillator networks with varied connectivity. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2021 |
url |
https://doaj.org/article/2cef5d55b516414f8cd6bf0abb8a87ed |
work_keys_str_mv |
AT kyralkadhim structuredpatternsofactivityinpulsecoupledoscillatornetworkswithvariedconnectivity AT annmhermundstad structuredpatternsofactivityinpulsecoupledoscillatornetworkswithvariedconnectivity AT kevinsbrown structuredpatternsofactivityinpulsecoupledoscillatornetworkswithvariedconnectivity |
_version_ |
1718374275730112512 |