ABSTRACT
The memristor, “the fourth element,” is a prominent candidate for neuromorphic non-CMOS hardware. Memristors have been a subject of interest for mathematicians, physicists, material scientists, electrical engineers, and neuroscientists. Memristors' physical implementation is also broad and diverse. Memristors were proposed to have a key rule in future deep learning accelerators and, due to their synapse-like plasticity and neuron-like characteristics, they can have an important impact on SNNs. In this chapter, we will discuss the basics of in-memory computing with memristors. This chapter does not aim to give a formal and rigorous description of the memristor but rather provide some intuition regarding its potential rule in neuromorphic engineering.
