Synchrony is significant in brain neural network. In this study we investigate the collective firing in an excitable media and modeling the brain network by an small-world one. The Gaussian white noise is taken to the system of phase oscillators, and then to the frequency distribution. An order parameter in non stationary situation and other usefull statistical parameters such as firing are computed. Three regimes are identified in such a network: no firing regime, where all elements are confined near the fixed point coherent pulsation, where a macroscopic fraction fire simultaneously and incoherent pulsation, where units fire in a disordered fashion.
Ghassami,S. and Shahbazi,F. (2019). Collective firing induced by noise in an excitable media in small-world and random network. Iranian Journal of Physics Research, 13(1), 93-97.
MLA
Ghassami,S. , and Shahbazi,F. . "Collective firing induced by noise in an excitable media in small-world and random network", Iranian Journal of Physics Research, 13, 1, 2019, 93-97.
HARVARD
Ghassami S., Shahbazi F. (2019). 'Collective firing induced by noise in an excitable media in small-world and random network', Iranian Journal of Physics Research, 13(1), pp. 93-97.
CHICAGO
S. Ghassami and F. Shahbazi, "Collective firing induced by noise in an excitable media in small-world and random network," Iranian Journal of Physics Research, 13 1 (2019): 93-97,
VANCOUVER
Ghassami S., Shahbazi F. Collective firing induced by noise in an excitable media in small-world and random network. Dear user; Recently we have changed our software to Sinaweb. If you had already registered with the old site, you may use the same USERNAME but you need to change your password. To do so at the first use, please choose, 2019; 13(1): 93-97.
