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  Influence of delayed conductance on neuronal synchronization

Protachevicz, P. R., Borges, F. S., Iarosz, K. C., Baptista, M. S., Lameu, E. L., Hansen, M., Caldas, I. L., Szezech, J. D., Batista, A. M., Kurths, J. (2020): Influence of delayed conductance on neuronal synchronization. - Frontiers in Physiology, 11, 1053.
https://doi.org/10.3389/fphys.2020.01053

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Protachevicz, Paulo R.1, Author
Borges, Fernando S.1, Author
Iarosz, Kelly C.1, Author
Baptista, Murilo S.1, Author
Lameu, Ewandson L.1, Author
Hansen, Matheus1, Author
Caldas, Iberê L.1, Author
Szezech, José D.1, Author
Batista, Antonio M.1, Author
Kurths, Jürgen2, Author              
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1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: In the brain, the excitation-inhibition balance prevents abnormal synchronous behavior. However, known synaptic conductance intensity can be insufficient to account for the undesired synchronization. Due to this fact, we consider time delay in excitatory and inhibitory conductances and study its effect on the neuronal synchronization. In this work, we build a neuronal network composed of adaptive integrate-and-fire neurons coupled by means of delayed conductances. We observe that the time delay in the excitatory and inhibitory conductivities can alter both the state of the collective behavior (synchronous or desynchronous) and its type (spike or burst). For the weak coupling regime, we find that synchronization appears associated with neurons behaving with extremes highest and lowest mean firing frequency, in contrast to when desynchronization is present when neurons do not exhibit extreme values for the firing frequency. Synchronization can also be characterized by neurons presenting either the highest or the lowest levels in the mean synaptic current. For the strong coupling, synchronous burst activities can occur for delays in the inhibitory conductivity. For approximately equal-length delays in the excitatory and inhibitory conductances, desynchronous spikes activities are identified for both weak and strong coupling regimes. Therefore, our results show that not only the conductance intensity, but also short delays in the inhibitory conductance are relevant to avoid abnormal neuronal synchronization.

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 Dates: 2020-09-032020
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.3389/fphys.2020.01053
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Research topic keyword: Complex Networks
Research topic keyword: Nonlinear Dynamics
Research topic keyword: Tipping Elements
Model / method: Nonlinear Data Analysis
Organisational keyword: RD4 - Complexity Science
Working Group: Network- and machine-learning-based prediction of extreme events
 Degree: -

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Title: Frontiers in Physiology
Source Genre: Journal, SCI, Scopus, oa
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Pages: - Volume / Issue: 11 Sequence Number: 1053 Start / End Page: - Identifier: Other: Frontiers Research Foundation
Other: 1664-042X
CoNE: https://publications.pik-potsdam.de/cone/journals/resource/frontiers-in-physiology
Publisher: Frontiers