 The effect of time delay for synchronisation suppression in neuronal networksMatheus Hansen, Paulo R. Protachevicz, Kelly C. Iarosz, Iberê L. Caldas, Antonio M. Batista and Elbert E.N. Macau Chaos, Solitons & Fractals, 2022, vol. 164, issue C Abstract: We study the time delay in the synaptic conductance for suppression of spike synchronisation in a random network of Hodgkin–Huxley neurons coupled by means of chemical synapses. In the first part, we examine in detail how the time delay acts over the network during the synchronised and desynchronised neuronal activities. We observe a relation between the neuronal dynamics and the synaptic conductance distributions. We find parameter values in which the time delay has high effectiveness in promoting the suppression of spike synchronisation. In the second part, we analyse how the delayed neuronal networks react when pulsed inputs with different profiles (periodic, random, and mixed) are applied to the neurons. We show the main parameters responsible for inducing or not synchronous neuronal oscillations in delayed networks. Keywords: Neuronal network; Hodgkin–Huxley; Synchronisation; Delayed conductance; Pulsed inputs (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:164:y:2022:i:c:s0960077922008694 DOI: 10.1016/j.chaos.2022.112690 Access Statistics for this article Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros More articles in Chaos, Solitons & Fractals from Elsevier |
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