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dc.contributor.authorZhang, Calvin
dc.contributor.authorPeskin, Charles S.
dc.date.accessioned2019-12-09T19:29:49Z
dc.date.available2019-12-09T19:29:49Z
dc.date.issued2020-01
dc.identifier.citationZhang, C. and Peskin, C.S. (2020), Analysis, Simulation, and Optimization of Stochastic Vesicle Dynamics in Synaptic Transmission. Comm. Pure Appl. Math., 73: 3-62. doi:10.1002/cpa.21847en_US
dc.identifier.issn0010-3640
dc.identifier.doi10.1002/cpa.21847
dc.identifier.urihttp://hdl.handle.net/10150/636342
dc.description.abstractSynaptic transmission is the mechanism of information transfer from one neuron to another (or from a neuron to a muscle or to an endocrine cell). An important step in this physiological process is the stochastic release of neurotransmitter from vesicles that fuse with the presynaptic membrane and spill their contents into the synaptic cleft. We are concerned here with the formulation, analysis, and simulation of a mathematical model that describes the stochastic docking, undocking, and release of synaptic vesicles and their effect on synaptic signal transmission. The focus of this paper is on the parameter p(0), the probability of release for each docked vesicle when an action potential arrives. We study the influence of this parameter on the statistics of the release process and on the theoretical capability of the model synapse in reconstructing various desired outputs based on the timing and amount of neurotransmitter release. This theoretical capability is assessed by formulating and solving an optimal filtering problem. Methods for parameter identification are proposed and applied to simulated data. (c) 2019 Wiley Periodicals, Inc.en_US
dc.language.isoenen_US
dc.publisherWILEYen_US
dc.rights© 2019 Wiley Periodicals, Inc.en_US
dc.titleAnalysis, Simulation, and Optimization of Stochastic Vesicle Dynamics in Synaptic Transmissionen_US
dc.typeArticleen_US
dc.contributor.departmentUniv Arizona, Dept Mathen_US
dc.identifier.journalCOMMUNICATIONS ON PURE AND APPLIED MATHEMATICSen_US
dc.description.note12 month embargo; published online: 29 May 2019en_US
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal accepted manuscripten_US
dc.source.volume73
dc.source.issue1
dc.source.beginpage3-62


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