High prevalence of multistability of rest states and bursting in a database of a model neuron.

Flexibility in neuronal circuits has its roots in the dynamical richness of their neurons. Depending on their membrane properties single neurons can produce a plethora of activity regimes including silence, spiking and bursting. What is less appreciated is that these regimes can coexist with each ot...

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Main Authors: Bóris Marin, William H Barnett, Anca Doloc-Mihu, Ronald L Calabrese, Gennady S Cymbalyuk
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC3591289?pdf=render
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author Bóris Marin
William H Barnett
Anca Doloc-Mihu
Ronald L Calabrese
Gennady S Cymbalyuk
author_facet Bóris Marin
William H Barnett
Anca Doloc-Mihu
Ronald L Calabrese
Gennady S Cymbalyuk
author_sort Bóris Marin
collection DOAJ
description Flexibility in neuronal circuits has its roots in the dynamical richness of their neurons. Depending on their membrane properties single neurons can produce a plethora of activity regimes including silence, spiking and bursting. What is less appreciated is that these regimes can coexist with each other so that a transient stimulus can cause persistent change in the activity of a given neuron. Such multistability of the neuronal dynamics has been shown in a variety of neurons under different modulatory conditions. It can play either a functional role or present a substrate for dynamical diseases. We considered a database of an isolated leech heart interneuron model that can display silent, tonic spiking and bursting regimes. We analyzed only the cases of endogenous bursters producing functional half-center oscillators (HCOs). Using a one parameter (the leak conductance (g(leak)) bifurcation analysis, we extended the database to include silent regimes (stationary states) and systematically classified cases for the coexistence of silent and bursting regimes. We showed that different cases could exhibit two stable depolarized stationary states and two hyperpolarized stationary states in addition to various spiking and bursting regimes. We analyzed all cases of endogenous bursters and found that 18% of the cases were multistable, exhibiting coexistences of stationary states and bursting. Moreover, 91% of the cases exhibited multistability in some range of g(leak). We also explored HCOs built of multistable neuron cases with coexisting stationary states and a bursting regime. In 96% of cases analyzed, the HCOs resumed normal alternating bursting after one of the neurons was reset to a stationary state, proving themselves robust against this perturbation.
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spelling doaj.art-a81c037f5c314cb7a30dfcb9f632f4ce2022-12-22T03:43:56ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582013-01-0193e100293010.1371/journal.pcbi.1002930High prevalence of multistability of rest states and bursting in a database of a model neuron.Bóris MarinWilliam H BarnettAnca Doloc-MihuRonald L CalabreseGennady S CymbalyukFlexibility in neuronal circuits has its roots in the dynamical richness of their neurons. Depending on their membrane properties single neurons can produce a plethora of activity regimes including silence, spiking and bursting. What is less appreciated is that these regimes can coexist with each other so that a transient stimulus can cause persistent change in the activity of a given neuron. Such multistability of the neuronal dynamics has been shown in a variety of neurons under different modulatory conditions. It can play either a functional role or present a substrate for dynamical diseases. We considered a database of an isolated leech heart interneuron model that can display silent, tonic spiking and bursting regimes. We analyzed only the cases of endogenous bursters producing functional half-center oscillators (HCOs). Using a one parameter (the leak conductance (g(leak)) bifurcation analysis, we extended the database to include silent regimes (stationary states) and systematically classified cases for the coexistence of silent and bursting regimes. We showed that different cases could exhibit two stable depolarized stationary states and two hyperpolarized stationary states in addition to various spiking and bursting regimes. We analyzed all cases of endogenous bursters and found that 18% of the cases were multistable, exhibiting coexistences of stationary states and bursting. Moreover, 91% of the cases exhibited multistability in some range of g(leak). We also explored HCOs built of multistable neuron cases with coexisting stationary states and a bursting regime. In 96% of cases analyzed, the HCOs resumed normal alternating bursting after one of the neurons was reset to a stationary state, proving themselves robust against this perturbation.http://europepmc.org/articles/PMC3591289?pdf=render
spellingShingle Bóris Marin
William H Barnett
Anca Doloc-Mihu
Ronald L Calabrese
Gennady S Cymbalyuk
High prevalence of multistability of rest states and bursting in a database of a model neuron.
PLoS Computational Biology
title High prevalence of multistability of rest states and bursting in a database of a model neuron.
title_full High prevalence of multistability of rest states and bursting in a database of a model neuron.
title_fullStr High prevalence of multistability of rest states and bursting in a database of a model neuron.
title_full_unstemmed High prevalence of multistability of rest states and bursting in a database of a model neuron.
title_short High prevalence of multistability of rest states and bursting in a database of a model neuron.
title_sort high prevalence of multistability of rest states and bursting in a database of a model neuron
url http://europepmc.org/articles/PMC3591289?pdf=render
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