Emergence of global synchronization in directed excitatory networks of type I neurons

Abstract The collective behaviour of neural networks depends on the cellular and synaptic properties of the neurons. The phase-response curve (PRC) is an experimentally obtainable measure of cellular properties that quantifies the shift in the next spike time of a neuron as a function of the phase a...

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Autores principales:	Abolfazl Ziaeemehr, Mina Zarei, Aida Sheshbolouki
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/0a908ac452a24c3e92a7a721ea20d1a8
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spelling	oai:doaj.org-article:0a908ac452a24c3e92a7a721ea20d1a82021-12-02T14:28:21ZEmergence of global synchronization in directed excitatory networks of type I neurons10.1038/s41598-020-60205-02045-2322https://doaj.org/article/0a908ac452a24c3e92a7a721ea20d1a82020-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-60205-0https://doaj.org/toc/2045-2322Abstract The collective behaviour of neural networks depends on the cellular and synaptic properties of the neurons. The phase-response curve (PRC) is an experimentally obtainable measure of cellular properties that quantifies the shift in the next spike time of a neuron as a function of the phase at which stimulus is delivered to that neuron. The neuronal PRCs can be classified as having either purely positive values (type I) or distinct positive and negative regions (type II). Networks of type 1 PRCs tend not to synchronize via mutual excitatory synaptic connections. We study the synchronization properties of identical type I and type II neurons, assuming unidirectional synapses. Performing the linear stability analysis and the numerical simulation of the extended Kuramoto model, we show that feedforward loop motifs favour synchronization of type I excitatory and inhibitory neurons, while feedback loop motifs destroy their synchronization tendency. Moreover, large directed networks, either without feedback motifs or with many of them, have been constructed from the same undirected backbones, and a high synchronization level is observed for directed acyclic graphs with type I neurons. It has been shown that, the synchronizability of type I neurons depends on both the directionality of the network connectivity and the topology of its undirected backbone. The abundance of feedforward motifs enhances the synchronizability of the directed acyclic graphs.Abolfazl ZiaeemehrMina ZareiAida SheshboloukiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-11 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Abolfazl Ziaeemehr Mina Zarei Aida Sheshbolouki Emergence of global synchronization in directed excitatory networks of type I neurons
description	Abstract The collective behaviour of neural networks depends on the cellular and synaptic properties of the neurons. The phase-response curve (PRC) is an experimentally obtainable measure of cellular properties that quantifies the shift in the next spike time of a neuron as a function of the phase at which stimulus is delivered to that neuron. The neuronal PRCs can be classified as having either purely positive values (type I) or distinct positive and negative regions (type II). Networks of type 1 PRCs tend not to synchronize via mutual excitatory synaptic connections. We study the synchronization properties of identical type I and type II neurons, assuming unidirectional synapses. Performing the linear stability analysis and the numerical simulation of the extended Kuramoto model, we show that feedforward loop motifs favour synchronization of type I excitatory and inhibitory neurons, while feedback loop motifs destroy their synchronization tendency. Moreover, large directed networks, either without feedback motifs or with many of them, have been constructed from the same undirected backbones, and a high synchronization level is observed for directed acyclic graphs with type I neurons. It has been shown that, the synchronizability of type I neurons depends on both the directionality of the network connectivity and the topology of its undirected backbone. The abundance of feedforward motifs enhances the synchronizability of the directed acyclic graphs.
format	article
author	Abolfazl Ziaeemehr Mina Zarei Aida Sheshbolouki
author_facet	Abolfazl Ziaeemehr Mina Zarei Aida Sheshbolouki
author_sort	Abolfazl Ziaeemehr
title	Emergence of global synchronization in directed excitatory networks of type I neurons
title_short	Emergence of global synchronization in directed excitatory networks of type I neurons
title_full	Emergence of global synchronization in directed excitatory networks of type I neurons
title_fullStr	Emergence of global synchronization in directed excitatory networks of type I neurons
title_full_unstemmed	Emergence of global synchronization in directed excitatory networks of type I neurons
title_sort	emergence of global synchronization in directed excitatory networks of type i neurons
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/0a908ac452a24c3e92a7a721ea20d1a8
work_keys_str_mv	AT abolfazlziaeemehr emergenceofglobalsynchronizationindirectedexcitatorynetworksoftypeineurons AT minazarei emergenceofglobalsynchronizationindirectedexcitatorynetworksoftypeineurons AT aidasheshbolouki emergenceofglobalsynchronizationindirectedexcitatorynetworksoftypeineurons
_version_	1718391232702447616

Emergence of global synchronization in directed excitatory networks of type I neurons

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