Compensated Synaptic Device for Improved Recognition Accuracy of Neuromorphic System

Abstract

To improve a pattern recognition accuracy of synaptic device-based neuromorphic system, we tried to obtain symmetric conductance changes between conductance increase process (potentiation) and conductance decrease process (depression). By utilizing compensational voltage division, we achieved more gradual conductance changes during the depression, which led to the symmetric conductance changes between the potentiation and depression. On the basis of the achieved symmetric conductance changes, obviously improved pattern recognition accuracy was obtained on a multilayer perceptron structural simulation.

Keywords

• Synaptic device
• pattern recognition
• neuromorphic system
• resistive random access memory