4 May
2020
4 May
'20
7:02 p.m.
Dear Josh,
Thanks for writing in. There is a synapse model in NEST called BernoulliConnection (see
https://github.com/nest/nest-simulator/blob/master/models/bernoulli_connect…). It will
probably require only minimal modification to fit your use case. See line 155: probably
you would replace the constant p_transmit_ with your formula for the weight-dependent
probability.
There will be a way to express synapse models in NESTML, but this feature is currently
still under development.
With kind regards,
Charl
On Mon, May 4, 2020, at 17:27, Joshua Stern wrote:
Hello,
I hope everyone is well.
I am working on replicating some results from Teremae et al 2012
<https://www.nature.com/articles/srep00485#Sec4> and have run into an area of
uncertainty. The paper calls for there to be a synaptic weight-dependent failure rate of
synaptic transmission:
image.png
Is there any way to implement this in Nest? If it would help, I am working on a custom
neuron model built in Nestml. I can also write some C++ if it seems that there would be an
easy way to add this functionality with a short function. Alternatively, are there
canonical ways to alter network structure to account for such a failure rate if it cannot
be implemented in Nest?
Thank you and best wishes,
Josh Stern
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