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AHaH Computing–From Metastable Switches to Attractors to Machine Learning

Figure 5

AHaH 2-1 two-phase circuit diagram.

The circuit produces an analog voltage signal on the output at node y given a spike pattern on its inputs labeled , , . The bias inputs , , are equivalent to the spike pattern inputs except that they are always active when the spike pattern inputs are active. F is a voltage source used to implement supervised and unsupervised learning via the AHaH rule. The polarity of the memristors for the bias synapse(s) is inverted relative to the input memristors. The output voltage, , contains both state (positive/negative) and confidence (magnitude) information.

Figure 5

doi: https://doi.org/10.1371/journal.pone.0085175.g005