Dear NEST community,
Thank you so much for your previous suggestions on writing my own neuron model with
NESTML.
I constructed a multiple synapses version of simple integrate-and-fire
("iaf_cond_beta_multisynapse") neuron based on the existing
"iaf_cond_beta" neuron model. And I did this by simply adding two synaptic
channels (AMPA and NMDA) without changing the structure of the neuron model. But when I
called this model on NEST to set the initial membrane potentials from a uniform
distribution (from 280 to 255 mV), for
example:"d1_pop.set({"V_m":nest.random.uniform(-80.0, -55.0)})", an
error reporting NESTErrors.TypeMismatch: "TypeMismatch in SLI function SetStatus_id:
Expected datatype: doubletype Provided datatype: parametertype" appeared.
So I wonder is there any coding errors in my own neuron model, since it worked just fine
when I set the initial membrane potentials to a number like -80, and how can I fix this
error.
Best,
Zirui