Design of Memristor Based Modified Synapse Circuit for Low-Power Neuromorphic Computing

Abstract

It is high time that brain-inspired or neuromorphic computing must have enough concentration to grow and overcome the computational barrier, which will mimic the biological neuron cell, and its computational abilities will be applied from the neuroscience point of view. We have shown some current candidates from the material to device level for neuromorphic computing and how our proposed memristor-based bridge synapse circuit can emulate the spiking properties of neurons in biological brains with plasticity phenomena such as LTP, LTD and STDP or SRDP (spike rate-dependent plasticity), considering that low power consumption is the primary key to this kind of computing.