Diffusion approximation of the neuronal model with synaptic reversal potentials
type: Item
instance of: scholarly article
title: Diffusion approximation of the neuronal model with synaptic reversal potentials
zbMATH Open document ID: 0618.92005
DOI: 10.1007/BF00333064
author: B. George
published in: Biological Cybernetics
publication date: 1987-01-01T00:00:00Z
review text: The stochastic neuronal model with reversal potentials is approximated. For the model with constant postsynaptic potential amplitudes a deterministic approximation is the only one which can be applied. The diffusion approximations are performed under the conditions of random postsynaptic potential amplitudes. New diffusion models of nerve membrane potential are devised in this way. These new models are more convenient for an analytical treatment than the original model with discontinuous trajectories.
Mathematics Subject Classification ID: 92Cxx
Mathematics Subject Classification ID: 60J70
Mathematics Subject Classification ID: 60J60
zbMATH DE Number: 4003960
zbMATH Keywords: stochastic neuronal model with reversal potentials
zbMATH Keywords: diffusion approximations
zbMATH Keywords: random postsynaptic potential amplitudes
zbMATH Keywords: New diffusion models of nerve membrane potential
Wikidata QID: Q44902113
MaRDI profile type: Publication
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description: scientific article; zbMATH DE number 4003960