In the Nengo documentation example for creating a rectified linear neuron, the operator uses
self.reads = [J] self.updates = [output] self.sets =  self.incs = 
However, in the Nengo reference backend, the neuron models use
sets instead of
updates will induce a single time-step delay in the neural response, whereas
sets will take effect at the start of the time-step?