Transmission of temporally correlated spike trains through synapses with short-term depression

  • Short-term synaptic depression, caused by depletion of releasable neurotransmitter, modulates the strength of neuronal connections in a history-dependent manner. Quantifying the statistics of synaptic transmission requires stochastic models that link probabilistic neurotransmitter release with presynaptic spike-train statistics. Common approaches are to model the presynaptic spike train as either regular or a memory-less Poisson process: few analytical results are available that describe depressing synapses when the afferent spike train has more complex, temporally correlated statistics such as bursts. Here we present a series of analytical results—from vesicle release-site occupancy statistics, via neurotransmitter release, to the post-synaptic voltage mean and variance—for depressing synapses driven by correlated presynaptic spike trains. The class of presynaptic drive considered is that fully characterised by the inter-spike-interval distribution and encompasses a broad range of models used for neuronal circuit and network analyses, such as integrate-and-fire models with a complete post-spike reset and receiving sufficiently short-time correlated drive. We further demonstrate that the derived post-synaptic voltage mean and variance allow for a simple and accurate approximation of the firing rate of the post-synaptic neuron, using the exponential integrate-and-fire model as an example. These results extend the level of biological detail included in models of synaptic transmission and will allow for the incorporation of more complex and physiologically relevant firing patterns into future studies of neuronal networks.
Metadaten
Author:Alex D. Bird, Magnus Richardson
URN:urn:nbn:de:hebis:30:3-468492
DOI:https://doi.org/10.1371/journal.pcbi.1006232
ISSN:1553-7358
ISSN:1553-734X
Pubmed Id:https://pubmed.ncbi.nlm.nih.gov/29933363
Parent Title (English):PLoS Computational Biology
Publisher:Public Library of Science
Place of publication:San Francisco, Calif.
Contributor(s):Farzan Nadim
Document Type:Article
Language:English
Year of Completion:2018
Date of first Publication:2018/06/22
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2018/07/17
Tag:Action potentials; Biophysics; Depression; Fourier analysis; Neurons; Neurotransmission; Synapses; Vesicles
Volume:14
Issue:(6): e1006232
Page Number:25
First Page:1
Last Page:25
Note:
Copyright: © 2018 Bird, Richardson. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
HeBIS-PPN:435980785
Institutes:Wissenschaftliche Zentren und koordinierte Programme / Frankfurt Institute for Advanced Studies (FIAS)
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Sammlungen:Universitätspublikationen
Licence (German):License LogoCreative Commons - Namensnennung 4.0