From biophysical to integrate-and-fire modelling
Tomas Van Pottelbergh, Guillaume Drion, Rodolphe Sepulchre

TL;DR
This paper introduces a methodology to derive simplified integrate-and-fire neuron models from detailed biophysical models, linking conductance modulation to firing behavior changes, demonstrated on neuromodulation examples.
Contribution
It presents a novel approach to extract low-dimensional integrate-and-fire models from complex biophysical models, enabling better understanding of neuromodulation effects.
Findings
Successfully related conductance modulation to firing mode transitions
Demonstrated method on Type I/II excitability and spiking/bursting transitions
Provided a systematic way to simplify biophysical neuron models
Abstract
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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Taxonomy
TopicsNeural dynamics and brain function · stochastic dynamics and bifurcation · Nonlinear Dynamics and Pattern Formation
