We would like to use neurons models with NMDA channels in our spiking neuron model.
We're still unsure whether we will use a native neuron model in Nest or whether we
will implement our own one in NESTML. My understanding is that the only model in Nest
which does that is the Hill - Tononi model, which seems rather complex. How fast would you
roughly expect a Hill - Tononi neuron network to run compared to a network made of
Do you know by any chance any example of adex NESTML models which implement NMDA and
Also, one last question not really related to the previous ones: Is there any way to model
synaptic reliability in Nest?
Thanks a lot,