Selective inactivation of neuronal dendritic domains: computational approach to steady potential gradients

Authors:
I. Makarova;J. M. Ibarz;L. Ló/pez-Aguado;O. Herreras
Affiliations:
Dept. Investigació/n, Hospital Ramó//n y Cajal, Madrid, Spain and Dept. Matemá/tica Aplicada, Fac. Biol., Univ. Complutense, Madrid, Spain;Dept. Investigació/n, Hospital Ramó/n y Cajal, Madrid, Spain;Dept. Investigació/n, Hospital Ramó/n y Cajal, Madrid, Spain;Dept. Investigació/n, Hospital Ramó/n y Cajal, Madrid, Spain
Venue:
IWANN'03 Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1
Year:
2003

Citing 2
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Abstract

Subthreshold oscillations actively participate in information coding and processing of living neural systems. In this paper we present a new model of stochastic neural networks in which the neurons display subthreshold oscillations and spiking activity. The network is built with diffusive coupling among close neighbors. We show that these stochastic networks are able to generate a wide variety of coherent spatio-temporal patterns. Emerging phenomena in this networks can be of great interest in applications related to the coding and control of rhythms.