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AHaH Computing–From Metastable Switches to Attractors to Machine Learning

Figure 14

AHaH clusterer.

Functional (A) and circuit (B) simulation results of an AHaH clusterer formed of twenty AHaH nodes. Spike patterns were encoded over 16 active input lines from a total spike space of 256. The number of noise bits was swept from 1 (6.25%) to 10 (62.5%) while the vergence was measured. The performance is a function of the total number of spike patterns. Blue = 16 (100% load), Orange = 20 (125% load), Purple = 24 (150% load), Green = 32 (200% load), Red = 64 (400% load).

Figure 14

doi: https://doi.org/10.1371/journal.pone.0085175.g014