Dear Benham,
Thanks for writing in, and best wishes for the new year! From looking at the model, it
seems that indeed these constants are not explicitly implemented. However, note that
setting a value for C_1 is equivalent to multiplying A_plus and A_minus with the same
value. C_2 does not seem to be implemented, but could relatively easily be added (although
it would require changing the C++ source code of the model a bit and then recompiling
NEST).
If you would indeed prefer to change the model itself, I can recommend using the NESTML
modelling language, which allows you to customize the model without having to write C++
code. You can find a tutorial about the STDP-dopa synapse here:
https://nestml.readthedocs.io/en/latest/tutorials/stdp_dopa_synapse/stdp_do…
and the source of the NESTML model here:
https://github.com/nest/nestml/blob/master/models/synapses/neuromodulated_s…
Please let us know how you fare and if you run into any issues.
With kind regards,
Charl
On Thu, Jan 5, 2023, at 12:29, Behnam Ghazinouri wrote:
Hi all,
Happy new year! I have a question about the "stdp_dopamine_synapse" model. In
the documentation, they mentioned that they used it as a benchmark the model in [1], based
on [2]. In [1], in the section "2.2 Benchmark Network Models", they have C_1 and
C_2. They just mentioned these two parameters are constant coefficients. My question is:
Does NEST implement these equations? If yes, how can I find the values of C_1 and C_2?
(they are not listed under the nest.GetValues() and are not in the table of the
documentation). If not, what is the exact model that the NEST implemented for
"stdp_dopamine_synapse"?
Best regards,
Behnam
[1]
Potjans W, Morrison A, Diesmann M (2010). Enabling functional neural circuit simulations
with distributed computing of neuromodulated plasticity. Frontiers in Computational
Neuroscience, 4:141. DOI:
https://doi.org/10.3389/fncom.2010.00141
[2]
Izhikevich EM (2007). Solving the distal reward problem through linkage of STDP and
dopamine signaling. Cerebral Cortex, 17(10):2443-2452. DOI:
https://doi.org/10.1093/cercor/bhl152
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