MEMRISTIVE NEUROMORPHIC CIRCUIT AND METHOD FOR TRAINING THE MEMRISTIVE NEUROMORPHIC CIRCUIT

摘要

A neural network (10) is implemented as a memristive neuromorphic circuit (100) that includes a neuron circuit (112, 114) and a memristive device (113) connected to the neuron circuit (112, 114). A conductance balanced voltage pair is provided for the memristive device (113), where the conductance balanced voltage pair includes a set voltage for increasing the conductance of the memristive device (113) and a reset voltage for decreasing the conductance of the memristive device (113). Either the set voltage and reset voltage, when applied to the memristive device (113), effects a substantially same magnitude conductance change in the memristive device (113) over a predetermined range of conductance of the memristive device (113). The provided voltage pair is stored as a conductance balanced map. A training voltage based on the conductance balanced map is applied to the memristive device (113) to train the neural network (10).