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Dynamics of populations and networks of neurons with voltage-activated and calcium-activated currents

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Richardson, Magnus J. E. (2009) Dynamics of populations and networks of neurons with voltage-activated and calcium-activated currents. Physical Review E, Vol.80 (No.2 Part 1). Article no. 021928. doi:10.1103/PhysRevE.80.021928

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Official URL: http://dx.doi.org/10.1103/PhysRevE.80.021928

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Abstract

The profile of transmembrane-channel expression in neurons is class dependent and a crucial determinant of neuronal dynamics. Here, a generalization of the experimentally verified exponential integrate-and-fire model is introduced that includes biophysical, nonlinear gated conductance-based currents, and a spike shape. A Fokker-Planck-based method is developed that allows for the rapid numerical calculation of steady-state and linear-response properties for recurrent networks of neurons with gating-variable dynamics slower than that of the voltage. This limit includes many cases of biological interest, particularly under in vivo conditions of high synaptic conductance. The utility of the method is illustrated by applying it to two biophysically detailed models adapted from the literature: an entorhinal layer-II cortical neuron and a neuron featuring both calcium-activated and voltage-activated spike-frequency-adaptation currents. The framework generalizes to networks comprised of different neuronal classes and so will allow for the modeling of emergent states in neural tissue at significantly increased levels of biological detail.

Item Type: Journal Article
Subjects: Q Science > QC Physics
Divisions: Faculty of Science, Engineering and Medicine > Research Centres > Warwick Systems Biology Centre
Journal or Publication Title: Physical Review E
Publisher: American Physical Society
ISSN: 1539-3755
Official Date: August 2009
Dates:
DateEvent
August 2009Published
Volume: Vol.80
Number: No.2 Part 1
Number of Pages: 16
Page Range: Article no. 021928
DOI: 10.1103/PhysRevE.80.021928
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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