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: 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 _______________________________________________ NEST Users mailing list -- users(a)nest-simulator.org To unsubscribe send an email to users-leave(a)nest-simulator.org *Attachments:* - image.png _______________________________________________ NEST Users mailing list -- users(a)nest-simulator.org To unsubscribe send an email to users-leave(a)nest-simulator.org