Capacitor-Based Synaptic Devices for Hardware Spiking Neural Networks

Abstract

IEEEIn this work, we present a hardware neural network with capacitor-based synaptic devices. A capacitor-based synaptic device was developed using a MOS capacitor structure with a charge trapping layer. Due to the flat band voltage shift by charge trapping and its non-linear C-V characteristics, multilevel weight values could be implemented by the charge occurring when charging and discharging the capacitor. The vector-matrix multiplication (VMM) function was also experimentally verified using a fabricated synapse array based on NAND flash structure.