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Robust modulation of integrate-and-fire models (Van Pottelbergh et al 2018)
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"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."
  • Abstract Izhikevich neuron Show Other
  • Abstract integrate-and-fire adaptive exponential (AdEx) neuron Show Other
  • Abstract integrate-and-fire neuron Show Other
  • Neuron or other electrically excitable cell Show Other
  • Van Pottelbergh T, Drion G, Sepulchre R (2018) Show Other
  • Van Pottelbergh, Tomas [tmjv2 at cam.ac.uk] Show Other
tom.morse@yale.edu
Abstract multi-quadratic integrate-and-fire (MQIF)
Robustness
Van Pottelbergh, Tomas
https://arxiv.org/pdf/1709.06824
False
False
Other categories referring to Robust modulation of integrate-and-fire models (Van Pottelbergh et al 2018)
Revisions: 10
Last Time: 9/19/2018 11:05:07 AM
Reviewer: Tom Morse - MoldelDB admin
Owner: Bulletin Board System