[NEST Users] Neuron models with NMDA channels

Hello,

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 aeif_cond_exp neurons?

Do you know by any chance any example of adex NESTML models which implement NMDA and Gaba_B channels?

Also, one last question not really related to the previous ones: Is there any way to model synaptic reliability in Nest?

Thanks a lot, Remy,