Dear all, 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 plus. Thank you very much in advance for any hints where to look, possible solutions, or developer support on how to implement these features! Best Regards, Benedikt