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AHaH Computing–From Metastable Switches to Attractors to Machine Learning

Figure 10

The AHaH rule reconstructed from simulations.

Each data point represents the change in a synaptic weight as a function of AHaH node activation, y. Blue data points correspond to input synapses and red data points to bias inputs. There is good congruence between the A) functional and B) circuit implementations of the AHaH rule.

Figure 10