CUED Publications database

Robust modulation of integrate-and-fire models

Van Pottelbergh, T and Drion, G and Sepulchre, R (2018) Robust modulation of integrate-and-fire models. Neural Computation, 30. pp. 987-1011. ISSN 0899-7667

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Abstract

© 2018 Massachusetts Institute of Technology. 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.

Item Type: Article
Uncontrolled Keywords: q-bio.NC q-bio.NC
Subjects: UNSPECIFIED
Divisions: Div F > Control
Depositing User: Cron Job
Date Deposited: 27 Sep 2017 20:08
Last Modified: 24 Oct 2019 14:38
DOI: 10.1162/NECO_a_01065