I came across two simple examples, one is “Two neurons”, and the other one is “Many neurons”:
It seems both networks are feedforward networks. The feedforward SNN here I mean:
“minusA = nengo.Ensemble(30, dimensions=1, max_rates=Uniform(80, 100))”
In the code above, a network contains 30 neurons is a feedforward network. The 30 neurons are in a same layer and there is no interconnections between these neurons.
The same manner is applied on dynamics system as well.
Am I right? or there is something I misunderstood?
Thanks a lot.