Controlling the spontaneous spiking regularity via channel blocking on Newman-Watts networks of Hodgkin-Huxley neuronsMahmut Ozer1, Matjaž Perc2 and Muhammet Uzuntarla1
1 Zonguldak Karaelmas University, Engineering Faculty, Department of Electrical and Electronics Engineering 67100 Zonguldak, Turkey
2 Department of Physics, Faculty of Natural Sciences and Mathematics, University of Maribor Koroška cesta 160, SI-2000 Maribor, Slovenia, EU
received 10 February 2009; accepted in final form 5 May 2009; published May 2009
published online 5 June 2009
We investigate the regularity of spontaneous spiking activity on Newman-Watts small-world networks consisting of biophysically realistic Hodgkin-Huxley neurons with a tunable intensity of intrinsic noise and fraction of blocked voltage-gated sodium and potassium ion channels embedded in neuronal membranes. We show that there exists an optimal fraction of shortcut links between physically distant neurons, as well as an optimal intensity of intrinsic noise, which warrant an optimally ordered spontaneous spiking activity. This doubly coherence resonance-like phenomenon depends significantly on, and can be controlled via, the fraction of closed sodium and potassium ion channels, whereby the impacts can be understood via the analysis of the firing rate function as well as the deterministic system dynamics. Potential biological implications of our findings for information propagation across neural networks are also discussed.
05.40.-a - Fluctuation phenomena, random processes, noise, and Brownian motion.
87.18.Sn - Neural networks and synaptic communication.
89.75.Hc - Networks and genealogical trees.
© EPLA 2009