Mapping the BCPNN Learning Rule to a Memristor Model
The Bayesian Confidence Propagation Neural Network (BCPNN) has been implemented in a way that allows Cold Beverage Machine Parts mapping to neural and synaptic processes in the human cortexandhas been used extensively in detailed spiking models of cortical associative memory function and recently also for machine learning applications.In convention