Thanks for writing in. There is a synapse model in NEST called BernoulliConnection (see https://github.com/nest/nest-simulator/blob/master/models/bernoulli_connection.h). 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.

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 and have run into an area of uncertainty. The paper calls for there to be a synaptic weight-dependent failure rate of synaptic transmission:

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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