Badel, Laurent, Lefort, Sandrine, Berger, Thomas K., Petersen, Carl C. H., Gerstner, Wulfram and Richardson, Magnus J. E. (2008) Extracting non-linear integrate-and-fire models from experimental data using dynamic I–V curves. Biological Cybernetics, Vol.99 (No.4-5). pp. 361-370. doi:10.1007/s00422-008-0259-4 ISSN 0340-1200.

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Abstract

The dynamic I–V curve method was recently introduced for the efficient experimental generation of reduced neuron models. The method extracts the response properties of a neuron while it is subject to a naturalistic stimulus that mimics in vivo-like fluctuating synaptic drive. The resulting history-dependent, transmembrane current is then projected onto a one-dimensional current–voltage relation that provides the basis for a tractable non-linear integrate-and-fire model. An attractive feature of the method is that it can be used in spike-triggered mode to quantify the distinct patterns of post-spike refractoriness seen in different classes of cortical neuron. The method is first illustrated using a conductance-based model and is then applied experimentally to generate reduced models of cortical layer-5 pyramidal cells and interneurons, in injected-current and injected- conductance protocols. The resulting low-dimensional neuron models—of the refractory exponential integrate-and-fire type—provide highly accurate predictions for spike-times. The method therefore provides a useful tool for the construction of tractable models and rapid experimental classification of cortical neurons.

Item Type:	Journal Article
Subjects:	R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry Q Science > QA Mathematics
Divisions:	Faculty of Science, Engineering and Medicine > Research Centres > Warwick Systems Biology Centre
Library of Congress Subject Headings (LCSH):	Neurons -- Mathematical models, Neural transmission -- Mathematical models, Exponential functions, Computational neuroscience -- Research
Journal or Publication Title:	Biological Cybernetics
Publisher:	Springer
ISSN:	0340-1200
Official Date:	November 2008
Dates:	Date Event November 2008 Published
Volume:	Vol.99
Number:	No.4-5
Page Range:	pp. 361-370
DOI:	10.1007/s00422-008-0259-4
Status:	Peer Reviewed
Access rights to Published version:	Open Access (Creative Commons)
Funder:	Research Councils UK (RCUK), European Commission (EC)

Data sourced from Thomson Reuters' Web of Knowledge

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