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)
or the Izhikevich neuron
(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, 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


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