Dear Charl,

thanks for your reply,

in these equations

the function S{x} = x, if x ≥ 0, and 0 if x < 0.

in the neuron model, I have the only first term without s{w},

1. my question is how can I add s{w} in the neuron model?

2.for the second term, I defined spike generators and parrot neurons and connect parrot neurons by static synapses to my desired neuron populations. can I consider synaptic weight of parrent neurons' conncetions to neuron poulations as s{w} for second term?

3. How can I decrease the time of simulation?

Best,

Atiyeh

On Tuesday, November 21, 2023 at 06:17:20 PM GMT+1, Charl Linssen <nest-users@turingbirds.com> wrote:

Hi Atiyeh,

Let me try to understand fully the model that you wish to implement. I am not sure what the "S{...}" is, is it a generic function? Could you specify in case there is a specific S() that you would like to use in your model?

Cheers!

Charl

On Tue, Nov 21, 2023, at 09:42, atiye nejadebrahim wrote:

Dear All,
I am going to add weights for excitatory and inhibitory synaptic currents according to this equation:

can you help me how I can add S(Wji) to a simple neuron model like one I attached to this email?
Thanks and BR,
Atiyeh

_______________________________________________
NEST Users mailing list -- users@nest-simulator.org
To unsubscribe send an email to users-leave@nest-simulator.org

Attachments:
hh_psc_alpha4.nestml

_______________________________________________
NEST Users mailing list -- users@nest-simulator.org
To unsubscribe send an email to users-leave@nest-simulator.org