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
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
Forschungszentrum Jülich GmbH 52425 Jülich Sitz der Gesellschaft: Jülich Eingetragen im Handelsregister des Amtsgerichts Düren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschäftsführung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens
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
Dear Binh,
yes, these parameters should work. I can't tell by heart how the resonance frequency depends on the model parameters. I'd guess the time constants (tau_m, tau_1, tau_V; see table captions) play a major role here. Maybe the original papers (see references on the NEST documentation pages below) will answer your question.
Best Tom
On 29.11.24 17:02, Thanh Binh To wrote:
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 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 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 <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
<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
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>
Forschungszentrum Jülich GmbH 52425 Jülich Sitz der Gesellschaft: Jülich Eingetragen im Handelsregister des Amtsgerichts Düren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschäftsführung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens
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
--
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
Forschungszentrum Jülich GmbH 52425 Jülich Sitz der Gesellschaft: Jülich Eingetragen im Handelsregister des Amtsgerichts Düren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschäftsführung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens
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
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Thanh Binh To -
Tom Tetzlaff