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Proceedings Paper

Global and local noise on diffusively coupled neural networks
Author(s): Maria Nieves Lorenzo; Noelia Montejo; Vicente Perez-Munuzuri; Vicente Perez-Villar
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Paper Abstract

In this paper the effect of noise on activity of a neural network of diffusively coupled excitatory-inhibitory cells with time delay is analyzed. We distinguish between global and local noise studying the different types of spatiotemporal behaviors observed when a space-time correlated noise is applied to the system. The results show a synchronization of the network in aperiodic behavior with the help of tiny noisy perturbations on the external signal depending on the spatial correlation of noise and the coupling coefficients.

Paper Details

Date Published: 25 May 2004
PDF: 7 pages
Proc. SPIE 5471, Noise in Complex Systems and Stochastic Dynamics II, (25 May 2004); doi: 10.1117/12.546532
Show Author Affiliations
Maria Nieves Lorenzo, Univ. de Santiago de Compostela (Spain)
Noelia Montejo, Univ. de Santiago de Compostela (Spain)
Vicente Perez-Munuzuri, Univ. de Santiago de Compostela (Spain)
Vicente Perez-Villar, Univ. de Santiago de Compostela (Spain)


Published in SPIE Proceedings Vol. 5471:
Noise in Complex Systems and Stochastic Dynamics II
Zoltan Gingl, Editor(s)

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