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AHaH Computing–From Metastable Switches to Attractors to Machine Learning

Figure 7

Generalized Metastable Switch (MSS).

An MSS is an idealized two-state element that switches probabilistically between its two states as a function of applied voltage bias and temperature. The probability that the MSS will transition from the B state to the A state is given by , while the probability that the MSS will transition from the A state to the B state is given by . We model a memristor as a collection of MSSs evolving over discrete time steps.

Figure 7

doi: https://doi.org/10.1371/journal.pone.0085175.g007