Dear Tom,

yes I found for Resonator

for AMAT model

alpha_1 = 10, alpha_2 = 0, and beta = 0.5

for Izhikevich

a = 0.1, b=0.26, c=-60, d=-1, psi = 2.4 and Iext = 0

If I understood you well, I have to set those parameters of the corresponding neuron model, so that should work.????

But how can I know the resonate frequency of this neuron in relating to those parameter set?

Thanks

With kind regards
Mit freundlichen Grüßen

Thanh Binh To

Gesendet: Freitag, 29. November 2024 um 13:01 Uhr
Von: "Tom Tetzlaff" <t.tetzlaff@fz-juelich.de>
An: users@nest-simulator.org
Betreff: [NEST Users] Re: About Resonate and Fire Neuron Model?

Sure. Simply search for "Resonator" in

https://link.springer.com/article/10.1007/s10827-018-0693-9/tables/4

for AMAT, and in

https://link.springer.com/article/10.1007/s10827-018-0693-9/tables/3

for Izhikevich. All parameters not mentioned in the tables are given in
the table captions.

Cheers
Tom

On 29.11.24 12:03, Thanh Binh To wrote:
> Dear Tom,
> thanks for your recommendation.
> Could you please show me more details, which parameters must be set to
> build a R&F neuron from AMAT or Izhikevich neuron?
> Best thanks and BR
> Binh
> *Gesendet:* Freitag, 29. November 2024 um 10:53 Uhr
> *Von:* "Tom Tetzlaff" <t.tetzlaff@fz-juelich.de>
> *An:* users@nest-simulator.org
> *Betreff:* [NEST Users] Re: About Resonate and Fire Neuron Model?
> Dear Thanh,
>
> in NEST, you could use the augmented multi-timescale adaptive threshold
> neuron (AMAT;
> https://nest-simulator.readthedocs.io/en/stable/models/amat2_psc_exp.html <https://nest-simulator.readthedocs.io/en/stable/models/amat2_psc_exp.html>)
> or the Izhikevich neuron
> (https://nest-simulator.readthedocs.io/en/stable/models/izhikevich.html
> <https://nest-simulator.readthedocs.io/en/stable/models/izhikevich.html>).
> Both can be parameterized such that they exhibit resonate-and-fire
> behavior. In https://doi.org/10.1007/s10827-018-0693-9
> <https://doi.org/10.1007/s10827-018-0693-9>, you'll find
> tables with parameter settings for the various types of neurons, the
> including resonating type.
>
> The advantage of the AMAT model is its linear subthreshold dynamics. It
> can hence be solved exactly (as it is in NEST). With the Izhikevich
> model, you'd need a numerical solver.
>
> Best
> Tom
>
>
> On 28.11.24 16:32, Thanh Binh To wrote:
> > Dear all,
> > I'd like to ask you if someone has a Resonate and Fire Neuron Model for
> > NEST?
> > Best thanks
> > With kind regards
> > Mit freundlichen Grüßen
> >
> > Thanh Binh To
> >
> > _______________________________________________
> > NEST Users mailing list -- users@nest-simulator.org
> > To unsubscribe send an email to users-leave@nest-simulator.org
>
> --
> ---
>
> Dr. Tom Tetzlaff
> Institute for Advanced Simulation (IAS-6)
> Computational and Systems Neuroscience
> Jülich Research Centre
> Jülich, Germany
>
> https://www.fz-juelich.de/profile/tetzlaff_t
> <https://www.fz-juelich.de/profile/tetzlaff_t>
>
>
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--
---

Dr. Tom Tetzlaff
Institute for Advanced Simulation (IAS-6)
Computational and Systems Neuroscience
Jülich Research Centre
Jülich, Germany

https://www.fz-juelich.de/profile/tetzlaff_t

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Geschäftsführung: Prof. Dr. Astrid Lambrecht (Vorsitzende),
Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens
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