A continuous time stochastic model for biological neural nets

Leonardo Nagami Coregliano

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arXiv · 1507.06331

A continuous time stochastic model for biological neural nets

Leonardo Nagami Coregliano

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Abstract

We propose a new stochastic model for biological neural nets which is a continuous time version of the model proposed by Galves and L\"ocherbach in [A. Galves and E. L\"ocherbach, "Infinite systems of interacting chains with memory of variable length - a stochastic model for biological neural nets", J. Stat. Phys. 151 (2013), no. 5, 896-921]. We also show how to computationally simulate such model for easy neuron potential decays and probability functions and characterize when the model has a finite time of death almost surely.

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Leonardo Nagami Coregliano. 2015-07-22. A continuous time stochastic model for biological neural nets. https://arxiv.org/abs/1507.06331

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