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Short term synaptic depression imposes a frequency dependent filter on synaptic information transfer

UNSPECIFIED (2012) Short term synaptic depression imposes a frequency dependent filter on synaptic information transfer. PLoS Computational Biology, 8 (6). ISSN 1553-734X

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Abstract

Depletion of synaptic neurotransmitter vesicles induces a form of short term depression in synapses throughout the nervous system. This plasticity affects how synapses filter presynaptic spike trains. The filtering properties of short term depression are often studied using a deterministic synapse model that predicts the mean synaptic response to a presynaptic spike train, but ignores variability introduced by the probabilistic nature of vesicle release and stochasticity in synaptic recovery time. We show that this additional variability has important consequences for the synaptic filtering of presynaptic information. In particular, a synapse model with stochastic vesicle dynamics suppresses information encoded at lower frequencies more than information encoded at higher frequencies, while a model that ignores this stochasticity transfers information encoded at any frequency equally well. This distinction between the two models persists even when large numbers of synaptic contacts are considered. Our study provides strong evidence that the stochastic nature neurotransmitter vesicle dynamics must be considered when analyzing the information flow across a synapse. © 2012 Rosenbaum et al.


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Details

Item Type: Article
Status: Published
Contributors:
ContributionContributors NameEmailPitt UsernameORCID
EditorSporns, OlafUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date: 1 June 2012
Date Type: Publication
Journal or Publication Title: PLoS Computational Biology
Volume: 8
Number: 6
DOI or Unique Handle: 10.1371/journal.pcbi.1002557
Schools and Programs: Dietrich School of Arts and Sciences > Mathematics
Refereed: Yes
ISSN: 1553-734X
PubMed Central ID: PMC3380957
PubMed ID: 22737062
Date Deposited: 11 Jul 2012 18:13
Last Modified: 05 Jan 2019 15:59
URI: http://d-scholarship.pitt.edu/id/eprint/12699

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