Reference : Robust Modulation of Integrate-and-Fire Models
Scientific journals : Article
Engineering, computing & technology : Multidisciplinary, general & others
http://hdl.handle.net/2268/223718
Robust Modulation of Integrate-and-Fire Models
English
Van Pottelbergh, Tomas mailto [University of Cambridge > >]
Drion, Guillaume mailto [Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
Sepulchre, Rodolphe mailto [Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
Apr-2018
Neural Computation
MIT Press
30
987-1011
Yes (verified by ORBi)
International
0899-7667
1530-888X
MA
[en] Modulation ; Simple models ; Neuron
[en] 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.
http://hdl.handle.net/2268/223718
10.1162/NECO_a_01065

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