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@nmbu.no Home http://arken.nmbu.no/~plesser

On 24/11/2021, 11:19, "s.taffara92@gmail.com" s.taffara92@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
_______________________________________________
NEST Users mailing list -- users@nest-simulator.org
To unsubscribe send an email to users-leave@nest-simulator.org

---

NEST Users mailing list -- users@nest-simulator.org To unsubscribe send an email to users-leave@nest-simulator.org