FPGA-based training and recalling system for memristor synapses

Nanoscale memristors can be used as synapses in brain-mimicking neuromorphic systems. To act as synapses, memristors should be programmed or trained for the target synaptic weight values by applying a sequence of voltage pulses. In this paper, we show an implementation of FPGA-based training and recalling system of memristor synapses. Using the implemented FPGA-based training and recalling system of memristor synapses, we compare various pule modulation schemes which can be used in training and recalling memristor synapses. This comparison tells us that the pulse amplitude modulation is more suitable to train memristor synapses precisely than the others.