Abstract
A mathematical characterization of the membrane potential as an instantaneous return process in the presence of refractoriness is investigated for diffusion models of single neuron’s activity. The statistical features of the random variable modeling the number of neuronal firings is analyzed by including the additional assumption of the existence of neuronal refractoriness. Asymptotic exact formulas for the multiple firing probabilities and for the expected number of produced firings are finally given.
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Ricciardi, L., Esposilo, G., Giorno, V., Valerio, C. (2003). Modeling Neuronal Firing in the Presence of Refractoriness. 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_1
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DOI: https://doi.org/10.1007/3-540-44868-3_1
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