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(a)turingbirds.com> wrote:
#yiv5889717209 p.yiv5889717209MsoNormal, #yiv5889717209
p.yiv5889717209MsoNoSpacing{margin:0;}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
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