I am wondering about two specific neuron characteristics to be modelled
in Nest. Since I did not really find documentation I want to ask about
those features here:
1) Are there any implementations for tonic neuron input, that means an
additional Neuron input channel that mulitplies with all synaptic inputs?
2) Can synaptic weights be normalized, in particular keeping the sum of
all inputs of a single neuron equal to 1?
On top, information on having those features modelled in PyNN would be a
Thank you very much in advance for any hints where to look, possible
solutions, or developer support on how to implement these features!
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