Mapping the BCPNN Learning Rule to a Memristor Model
The Bayesian Confidence Propagation Neural Network (BCPNN) has been implemented in a way that allows mapping to neural and synaptic processes in the human cortexandhas been used extensively in detailed spiking models of cortical associative 2014 dodge ram 1500 fender flares memory function and recently also for machine learning applications.In conv