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Firing-rate response of a neuron receiving excitatory and inhibitory synaptic shot noise
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Richardson, Magnus J. E. and Swarbrick, Rupert (2010) Firing-rate response of a neuron receiving excitatory and inhibitory synaptic shot noise. Physical Review Letters, Vol.105 (No.17). Article no. 178102. doi:10.1103/PhysRevLett.105.178102 ISSN 0031-9007.
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Official URL: http://dx.doi.org/10.1103/PhysRevLett.105.178102
Abstract
The synaptic coupling between neurons in neocortical networks is sufficiently strong so that relatively few synchronous synaptic pulses are required to bring a neuron from rest to the spiking threshold. However, such finite-amplitude effects of fluctuating synaptic drive are missed in the standard diffusion approximation. Here exact solutions for the firing-rate response to modulated presynaptic rates are derived for a neuron receiving additive excitatory and inhibitory synaptic shot noise with exponential amplitude distributions. The shot-noise description of the neuronal response to synaptic dynamics is shown to be richer and qualitatively distinct from that predicted by the diffusion approximation. It is also demonstrated how the framework developed here can be generalized to multiplicative shot noise so as to better capture effects of the inhibitory reversal potential.
Item Type: | Journal Article | ||||
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Subjects: | Q Science > QC Physics | ||||
Divisions: | Faculty of Science, Engineering and Medicine > Research Centres > Warwick Systems Biology Centre | ||||
Journal or Publication Title: | Physical Review Letters | ||||
Publisher: | American Physical Society | ||||
ISSN: | 0031-9007 | ||||
Official Date: | 18 October 2010 | ||||
Dates: |
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Volume: | Vol.105 | ||||
Number: | No.17 | ||||
Number of Pages: | 4 | ||||
Page Range: | Article no. 178102 | ||||
DOI: | 10.1103/PhysRevLett.105.178102 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access | ||||
Funder: | Research Councils United Kingdom |
Data sourced from Thomson Reuters' Web of Knowledge
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