Frequency transitions in synchronized neural networks

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dc.contributor.authorMartins A.
dc.contributor.authorMonteiro L.H.A.
dc.date.accessioned2024-03-13T01:04:27Z
dc.date.available2024-03-13T01:04:27Z
dc.date.issued2013
dc.description.abstractTemporal organization of events can emerge in complex systems, like neural networks. Here, random graph and cellular automaton are used to represent coupled neural structures, in order to investigate the occurrence of synchronization. The connectivity pattern of this toy model of neural system is of Newman-Watts type, formed from a regular lattice with additional random connections. Two networks with this coupling topology are connected by extra random links and an impulse stimulus is either constantly or periodically applied to a unique neuron. Numerical simulations reveal that this model can exhibit a variety of dynamic behaviors. Usually, the whole system achieves synchronization; however, the oscillation frequencies of the stimulus and of each network can be different. The dynamics is evaluated in function of the network size, the amount of the randomly added edges and the number of time steps in which a neuron can remain firing. The biological relevance of these results is discussed. © 2012 Elsevier B.V.
dc.description.firstpage1786
dc.description.issuenumber7
dc.description.lastpage1791
dc.description.volume18
dc.identifier.doi10.1016/j.cnsns.2012.11.018
dc.identifier.issn1007-5704
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/36604
dc.relation.ispartofCommunications in Nonlinear Science and Numerical Simulation
dc.rightsAcesso Restrito
dc.subject.otherlanguageCellular automaton
dc.subject.otherlanguageNeural network
dc.subject.otherlanguageRandom graph
dc.subject.otherlanguageSynchronization
dc.titleFrequency transitions in synchronized neural networks
dc.typeArtigo
local.scopus.citations6
local.scopus.eid2-s2.0-84873569480
local.scopus.subjectConnectivity pattern
local.scopus.subjectDynamic behaviors
local.scopus.subjectFrequency transition
local.scopus.subjectNetwork size
local.scopus.subjectNeural structures
local.scopus.subjectNeural systems
local.scopus.subjectOscillation frequency
local.scopus.subjectRandom graphs
local.scopus.subjectRandom links
local.scopus.subjectRegular lattice
local.scopus.subjectTime step
local.scopus.subjectToy models
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84873569480&origin=inward
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