Due to technological advancements in the field computing and networking as well, neuromorphic computing has been evolving more and more fast. Advance technologies such as neural and peripheral nerves in human body are growing explosively. If this trend goes on the computing networks congestion will increase and it would be difficult to supply large services to the needy patients. To go on with the flow without any traffic problems neuromorphic computing is the best solution. This paper aims to discuss evaluate address the methods to assess various neuromorphic computing system. Here authors are discussing resistive switching and its properties, gallium doped ZnO and behaviour of memristive resistors which are playing crucial role in neuromorphic computing. It's an attempt to address the new systems and their role as well as various issues associated with it which are contributing the computing domain.