The value memristor devices offer to the neuromorphic computing hardwaredesign community rests on the ability to provide effective device models thatcan enable large scale integrated computing architecture applicationsimulations. Therefore, it is imperative to develop practical, functionaldevice models of minimum mathematical complexity for fast, reliable, andaccurate computing architecture technology design and simulation. To this end,various device models have been proposed in the literature seeking tocharacterize the physical electronic and time domain behavioral properties ofmemristor devices. In this work, we analyze some promising and practicalnon-quasi-static linear and non-linear memristor device models for neuromorphiccircuit design and computing architecture simulation.
展开▼
