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
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_connecti...). 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
NEST Users mailing list -- users@nest-simulator.org To unsubscribe send an email to users-leave@nest-simulator.org
*Attachments:*
- image.png
Thank you very much Charl!
Best wishes, Josh
On Mon, May 4, 2020 at 1:02 PM Charl Linssen nest-users@turingbirds.com wrote:
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_connecti...). 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@nest-simulator.org To unsubscribe send an email to users-leave@nest-simulator.org
*Attachments:*
- image.png
NEST Users mailing list -- users@nest-simulator.org To unsubscribe send an email to users-leave@nest-simulator.org
-
Charl Linssen -
Joshua Stern