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  • Poster presentation
  • Open Access

Spike-timing prediction in a neuron model with active dendrites

  • 1,
  • 2 and
  • 1
BMC Neuroscience200910 (Suppl 1) :P29

https://doi.org/10.1186/1471-2202-10-S1-P29

  • Published:

Keywords

  • Differential Equation
  • Animal Model
  • Predictive Power
  • Significant Loss
  • Pyramidal Cell

A complete model for single neurons must reproduce correctly the firing of spikes and bursts. Yet it must remain simple enough to be tractable in large-scale simulations. We present a study of a simplified model of Layer V pyramidal cells of the cortex with active dendrites. We hypothesized that we can model the soma and its apical trunk with only two compartments without significant loss in the accuracy of spike-timing predictions. The model is based on experimentally measurable impulse-response functions [1], which transfer the effect current injected in one compartment to the other. Each compartment was modeled with a pair of non-linear differential equations [2] with a small number of parameters that approximate the Hodgkin-and-Huxley equations. The predictive power of this model was tested on electrophysiological experiments where noisy current was injected in both the soma and the apical dendrite simultaneously [3].

Authors’ Affiliations

(1)
Ecole Polytechnique Federale de Lausanne (EPFL), Lausanne, 1015, Switzerland
(2)
Institut fur Zoologie, Universitaet Wien, Althanstrasse 14, A-1090 Wien, Austria

References

  1. Segev I, Rall W, Rinzel J: The Theoretical Foundation of Dendritic Function. 1995Google Scholar
  2. Brette R, Gerstner W: J Neurophys. 2005Google Scholar
  3. Larkum ME, Senn W, Luscher H: Cereb Cortex. 2004Google Scholar

Copyright

© Naud et al; licensee BioMed Central Ltd. 2009

This article is published under license to BioMed Central Ltd.

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