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.
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© 2003 Springer-Verlag Berlin Heidelberg
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Castellanos, N.P., Rodríguez, F.B., Varona, P. (2003). Stochastic Networks with Subthreshold Oscillations and Spiking Activity. In: Mira, J., Álvarez, J.R. (eds) Computational Methods in Neural Modeling. IWANN 2003. Lecture Notes in Computer Science, vol 2686. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44868-3_5
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DOI: https://doi.org/10.1007/3-540-44868-3_5
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