EPJ Nonlinear Biomed Phys
Volume 2, Number 1, December 2014
Advances in Neural Population Models and Their Networks
|Number of page(s)||17|
|Published online||12 May 2014|
Lumping Izhikevich neurons
School of Mathematical Sciences, University of Nottingham, Nottingham, UK
3 Department of Applied Mathematics, University of Twente, Enschede, The Netherlands
4 MIRA — Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, The Netherlands
* e-mail: firstname.lastname@example.org
Accepted: 17 March 2014
Published online: 12 May 2014
We present the construction of a planar vector field that yields the firing rate of a bursting Izhikevich neuron can be read out, while leaving the sub-threshold behavior intact. This planar vector field is used to derive lumped formulations of two complex heterogeneous networks of bursting Izhikevich neurons. In both cases, the lumped model is compared with the spiking network. There is excellent agreement in terms of duration and number of action potentials within the bursts, but there is a slight mismatch of the burst frequency. The lumped model accurately accounts for both intrinsic bursting and post inhibitory rebound potentials in the neuron model, features which are absent in prevalent neural mass models.
Key words: Neural mass / Izhikevich neuron / Bursting / Subthreshold behavior
© The Author(s), 2014
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