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Robust modulation of integrate-and-fire models

Van Pottelbergh, T and Drion, G and Sepulchre, R Robust modulation of integrate-and-fire models. Neural Computation. (Unpublished)

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Abstract

By controlling the state of neuronal populations, neuromodulators ultimately affect behaviour. A key neuromodulation mechanism is the alteration of neu- ronal excitability via the modulation of ion channel expression. This type of neuromodulation is normally studied via conductance-based models, but those models are computationally challenging for large-scale network sim- ulations needed in population studies. This paper studies the modulation properties of the Multi-Quadratic Integrate-and-Fire (MQIF) model, a gen- eralisation of the classical Quadratic Integrate-and-Fire (QIF) model. The model is shown to combine the computational economy of integrate-and-fire modelling and the physiological interpretability of conductance-based mod- elling. It is therefore a good candidate for affordable computational studies of neuromodulation in large networks.

Item Type: Article
Uncontrolled Keywords: modulation integrate-and-fire models single neuron dynamics
Subjects: UNSPECIFIED
Divisions: Div F > Control
Depositing User: Cron Job
Date Deposited: 06 Dec 2017 20:10
Last Modified: 12 Nov 2019 03:57
DOI: