24 Nov
2021
24 Nov
'21
5:26 p.m.
Hi,
This might depend a bit on the implementation. FitzHugh-Nagumo is a two-dimensional model
with continuous variables V and W; although it "spikes" (fast deflections of V),
there is no threshold condition and membrane potential reset. Variants of the model might
exist that have incorporated these additions though, in which case it would be a more or
less "normal" spiking neuron, and indeed easy to implement in NESTML.
Salvo, if you could post a link to the precise, formal model that you want to implement
(in terms of equations and conditions, or just as a citation to a paper), that might help
to clarify things.
Thanks,
Kind regards,
Charl
On Wed, Nov 24, 2021, at 15:39, Hans Ekkehard Plesser wrote:
Hi Salvo,
We don't have a Fitzhugh-Nagumo model implemented in NEST at present,
but you should be able to add it using NESTML
(https://nestml.readthedocs.io/en/latest/).
Best,
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(a)nmbu.no
Home http://arken.nmbu.no/~plesser
On 24/11/2021, 11:19, "s.taffara92(a)gmail.com" <s.taffara92(a)gmail.com>
wrote:
Hi, I visited the page
'https://nest-simulator.readthedocs.io/en/latest/models/' looking for
the FitzHugh-Nagumo model keyword. I want to use it to create this kind
of neuron in Nest. I can not find it. Can anyone help me?
Thanks,
Salvo
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