A Small Morris-Lecar Neuron Network Gets Close to Critical Only in the Small-World Regimen
Author(s) -
Juan Luis Cabrera,
Johans Hoenicka,
Daniel Macedo
Publication year - 2013
Publication title -
journal of complex systems
Language(s) - English
Resource type - Journals
eISSN - 2356-7244
pISSN - 2314-6540
DOI - 10.1155/2013/675818
Subject(s) - topology (electrical circuits) , small world network , network topology , scaling , observable , branching (polymer chemistry) , statistical physics , power law , scaling law , relation (database) , branching process , physics , computer science , neuroscience , mathematics , complex network , biology , quantum mechanics , geometry , combinatorics , statistics , materials science , database , composite material , operating system
Spontaneous emergence of neuronal activity avalanches characterized by power-law distributions is known to occur in different types of nervous tissues suggesting that nervous systems may operate at a critical regime. Here, we explore the possible relation of this dynamical state with the underlying topology in a small-size network of interconnected Morris-Lecar neurons. Studying numerically different topological configurations, we find that, very close to the efficient small-world situation, the system self-organizes near to a critical branching process with observable distributions in the proximity of a power law with exponents similar to those reported in the experimental literature. Therefore, we conclude that the observed scaling is intimately related only with the small-world topology
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