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Long-term plasticity determines the postsynaptic response to correlated afferents with multivesicular short-term synaptic depression
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Bird, Alex D. and Richardson, Magnus J. E. (2014) Long-term plasticity determines the postsynaptic response to correlated afferents with multivesicular short-term synaptic depression. Frontiers in Computational Neuroscience, 8 . pp. 1-9. 2. doi:10.3389/fncom.2014.00002 ISSN 1662-5188.
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Official URL: http://dx.doi.org/10.3389/fncom.2014.00002
Abstract
Synchrony in a presynaptic population leads to correlations in vesicle occupancy at the active sites for neurotransmitter release. The number of independent release sites per presynaptic neuron, a synaptic parameter recently shown to be modified during long-term plasticity, will modulate these correlations and therefore have a significant effect on the firing rate of the postsynaptic neuron. To understand how correlations from synaptic dynamics and from presynaptic synchrony shape the postsynaptic response, we study a model of multiple release site short-term plasticity and derive exact results for the crosscorrelation function of vesicle occupancy and neurotransmitter release, as well as the postsynaptic voltage variance. Using approximate forms for the postsynaptic firing rate in the limits of low and high correlations, we demonstrate that short-term depression leads to a maximum response for an intermediate number of presynaptic release sites, and that this leads to a tuning-curve response peaked at an optimal presynaptic synchrony set by the number of neurotransmitter release sites per presynaptic neuron. These effects arise because, above a certain level of correlation, activity in the presynaptic population is overly strong resulting in wastage of the pool of releasable neurotransmitter. As the nervous system operates under constraints of efficient metabolism it is likely that this phenomenon provides an activity-dependent constraint on network architecture.
Item Type: | Journal Article | ||||
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- ) Faculty of Science, Engineering and Medicine > Research Centres > Warwick Systems Biology Centre |
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Journal or Publication Title: | Frontiers in Computational Neuroscience | ||||
Publisher: | Frontiers Research Foundation | ||||
ISSN: | 1662-5188 | ||||
Official Date: | 30 January 2014 | ||||
Dates: |
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Volume: | 8 | ||||
Page Range: | pp. 1-9 | ||||
Article Number: | 2 | ||||
DOI: | 10.3389/fncom.2014.00002 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access |
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