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Robust Modulation of Integrate-and-Fire Models.

Accepted version
Peer-reviewed

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Working Paper

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Authors

Van Pottelbergh, Tomas  ORCID logo  https://orcid.org/0000-0001-7358-7509
Sepulchre, Rodolphe  ORCID logo  https://orcid.org/0000-0002-7047-3124

Abstract

By controlling the state of neuronal populations, neuromodulators ultimately affect behavior. A key neuromodulation mechanism is the alteration of neuronal excitability via the modulation of ion channel expression. This type of neuromodulation is normally studied with conductance-based models, but those models are computationally challenging for large-scale network simulations needed in population studies. This article studies the modulation properties of the multiquadratic integrate-and-fire model, a generalization of the classical quadratic integrate-and-fire model. The model is shown to combine the computational economy of integrate-and-fire modeling and the physiological interpretability of conductance-based modeling. It is therefore a good candidate for affordable computational studies of neuromodulation in large networks.

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Sponsorship
ECH2020 EUROPEAN RESEARCH COUNCIL (ERC) (670645)