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).
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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