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GIF model extensions
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:
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Transforming the spike-triggered current in to a spike-triggered conductance.
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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:
2a. A linear combination of rectangular basis functions (iGIF_NP model, where NP stands for non-parametric)
2b. A smooth linear rectifier accounting for fast Na-channel inactivation (iGIF_Na, where Na stands for Na-channels)
These models have now been included in the GIFFittingToolbox introduced in Pozzorini et al. 2015.
More instructions on how to fit these models to data will be posted soon. Stay tuned!