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