Noise-delayed decay in the response of a scale-free neuronal network
Muhammet Uzuntarla,
Rukiye Uzun,
Ergin Yilmaz,
Mahmut Ozer and
Matjaž Perc
Chaos, Solitons & Fractals, 2013, vol. 56, issue C, 202-208
Abstract:
Noise-delayed decay occurs when the first-spike latency of a periodically forced neuron exhibits a maximum at particular noise intensity. Here we investigate this phenomenon at the network level, in particular by considering scale-free neuronal networks, and under the realistic assumption of noise being due to the stochastic nature of voltage-gated ion channels that are embedded in the neuronal membranes. We show that noise-delayed decay can be observed at the network level, but only if the synaptic coupling strength between the neurons is weak. In case of strong coupling or in a highly interconnected population the phenomenon vanishes, thus indicating that delays in signal detection can no longer be resonantly prolonged by noise. We also find that potassium channel noise plays a more dominant role in the occurrence of noise-delayed decay than sodium channel noise, and that poisoning the neuronal membranes may weakens or intensify the phenomenon depending on targeting.
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:56:y:2013:i:c:p:202-208
DOI: 10.1016/j.chaos.2013.08.009
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