Hi Chao,
In real neurons, the refractory period arises from a combination of biophysical
mechanisms. After firing an action potential, the cell needs to recover before it can fire
another one. In simplified neuron models, such as most integrate-and-fire models, which do
not include these recovery mechanisms, one usually adds an explicit refractory period to
capture the effect of the biophysical recovery mechanisms in a mathematically or
computationally simple way.
But if a neuron model includes (slow) recovery variables that will prevent it from spiking
for some period after firing a spike, adding an explicit refractory period may not be
required. Izhikevich decided that this was the case for his model, and thus there is no
explicit refractory period that could be set as a parameter. The neuron model has its
refractoriness simply "built in", with details depending on the parameters.
Best regards,
Hans Ekkehard
--
Prof. Dr. Hans Ekkehard Plesser
Head, Department of Data Science
Faculty of Science and Technology
Norwegian University of Life Sciences
PO Box 5003, 1432 Aas, Norway
Phone +47 6723 1560
Email hans.ekkehard.plesser@nmbu.no<mailto:hans.ekkehard.plesser@nmbu.no>
Home
http://arken.nmbu.no/~plesser
On 10/06/2022, 09:31, "jcye"
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Dear NEST Community,
When I use NEST, I find that Izhikevich model has no refractory period. Whether there is a
specific reason for this setting or whether the model itself does not have this refractory
period? After all, according to my understanding, all neurons in biology have the
characteristics of refractory period.
I would be happy to get any feedback on it.
Thanks,
Chao.