Robust Modulation of Integrate-and-Fire Models.
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Van Pottelbergh, T., Drion, G., & Sepulchre, R. (2018). Robust Modulation of Integrate-and-Fire Models.. Neural computation, 30 (4), 987-1011. https://doi.org/10.1162/neco_a_01065
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.
ECH2020 EUROPEAN RESEARCH COUNCIL (ERC) (670645)
External DOI: https://doi.org/10.1162/neco_a_01065
This record's URL: https://www.repository.cam.ac.uk/handle/1810/271714