Robust Modulation of Integrate-and-Fire Models

Neural Computation
Tomas Van PottelberghRodolphe Sepulchre

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.

References

Apr 24, 2018·PLoS Computational Biology·Guillaume DrionRodolphe Sepulchre
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Feb 5, 2020·Frontiers in Neuroscience·Nima Salimi-NezhadCecilia Laschi

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Related Concepts

Study
Biochemical Mechanism
Neurons
Ion Channel
Neuronal
Neuromodulators
Simulation
Computational Technique
Excitability
Population Study (Research Activity)

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