This paper proposes a methodology to extract a low-dimensional integrate-and-fire model from an arbitrarily detailed conductance-based model. The method provides a computational bridge between the physiology of a neuromodulator at the cellular level and its impact in a possibly large neuronal network . The approach is illustrated on two well-documented examples of cellular neuromodulation: the transition between Type I and Type II excitability and the transition between spiking and bursting.
This paper proposes a methodology to extract a low-dimensional integrate-and-fire model from an arbitrarily detailed single-compartment biophysical model. The method aims at relating the modulation of maximal conductance parameters in the biophysical model to the modulation of parameters in the proposed integrate-and-fire model . The approach is illustrated on two well-documented examples of cellular neuromodulation: the transition between Type I and Type II excitability and the transition between spiking and bursting.
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conductance-based
single-compartment biophysical
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provides a computational bridge between the physiology of a neuromodulator at the cellular level and its impact in a possibly large neuronal network
aims at relating the modulation of maximal conductance parameters in the biophysical model to the modulation of parameters in the proposed integrate-and-fire model