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GIF model extensions

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Christian Pozzorini edited this page Jan 14, 2016 · 31 revisions

The content of this web page is associated with the publication:

Enhanced sensitivity to rapid input fluctuations by nonlinear threshold dynamics in neocortical pyramidal neurons

S. Mensi, O. Hagens, W. Gerstner and C. Pozzorini

PLOS Computational Biology 2016

In this paper the GIF model introduced in our previous publication (Pozzorini et al. PLOS Comp. Biol. 2015) is extended by:

  1. Transforming the spike-triggered current in to a spike-triggered conductance.

  2. By coupling (nonlinearly and dynamically) the firing threshold to the subthreshold membrane potential.

The nonlinear coupling between membrane potential and firing threshold can be expressed either as:

  1. A linear combination of rectangular basis functions (iGIF_NP model, where NP stands for non-parametric)

  2. A smooth linear rectifier accounting for fast Na-channel inactivation (iGIF_Na, where Na stands for Na-channels)

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