Firing activity of complex space-clamped FitzHugh-Nagumo neural networks

D. Q. Wei (), X. S. Luo and Y. L. Zou

The European Physical Journal B: Condensed Matter and Complex Systems, 2008, vol. 63, issue 2, 279-282

Abstract: We investigate how firing activity of complex neural networks depends on the random long-range connections and coupling strength. Network elements are described by excitable space-clamped FitzHugh-Nagumo (SCFHN) neurons with the values of parameters at which no firing activity occurs. It is found that for a given appropriate coupling strength C, there exists a critical fraction of random connections (or randomness) p * , such that if p > p * the firing neurons, which are absent in the nearest-neighbor network, occur. The firing activity becomes more frequent as randomness p is further increased. On the other hand, when the p is smaller, there are no active neurons in network, no matter what the value of C is. For a given larger p, there exist optimal coupling strength levels, where firing activity reaches its maximum. To the best of our knowledge, this is a novel mechanism for the emergence of firing activity in neurons. Copyright EDP Sciences/Società Italiana di Fisica/Springer-Verlag 2008

Keywords: 87.18.Sn Neural networks; 89.75.Fb Structures and organization in complex systems; 89.75.Hc Networks and genealogical trees (search for similar items in EconPapers)
Date: 2008
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Citations: View citations in EconPapers (2)

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DOI: 10.1140/epjb/e2008-00227-5

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