I find the nengo_spa example about Associative Memory.
I have questions about the part “CleanupWTA” in this example.
In WTA(winner take all), I know the SP with largest similarity to an ensemble, so I think the threshold is not needed in this situation.
So, why is the parameter “threshold” needed in nengo_spa.WTAAssocMem() and why
threshold=0.3 in the example?