A review of stochastic models of neuronal dynamics: from a single neuron to networks (Q6606789)

scientific article; zbMATH DE number 7914716

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English	A review of stochastic models of neuronal dynamics: from a single neuron to networks	scientific article; zbMATH DE number 7914716

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scholarly article

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title

A review of stochastic models of neuronal dynamics: from a single neuron to networks (English)

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author

Maria Francesca Carfora

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publication date

17 September 2024

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MaRDI profile type

Publication

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cites work

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The first passage time problem for Gauss-diffusion processes: algorithmic approaches and applications to LIF neuronal model

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Interspike Interval Correlations, Memory, Adaptation, and Refractoriness in a Leaky Integrate-and-Fire Model with Threshold Fatigue

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Inhibition enhances the coherence in the Jacobi neuronal model

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Quantitative investigations of electrical nerve excitation treated as polarization. Translated by Nicolas Brunel and Mark C. W. van Rossum.

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On the transformation of diffusion processes into the Wiener process

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The Ornstein-Uhlenbeck process as a model for neuronal activity. I. Mean and variance of the firing time

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On an integral equation for first-passage-time probability densities

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Q3976319

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Stochastic Integrate and Fire Models: A Review on Mathematical Methods and Their Applications

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Cooperative behavior in a jump diffusion model for a simple network of spiking neurons

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Weak convergence of marked point processes generated by crossings of multivariate jump processes. applications to neural network modeling

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Identifiers

zbMATH Open document ID

1544.92034

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DOI

10.1007/978-3-031-33050-6_8

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Mathematics Subject Classification ID

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Sitelinks

Mathematics(1 entry)

mardi Publication:6606789