I, we evaluate the principle differences between a traditional computational machine, based mostly on the Turing-von Neumann paradigm, and a neuromorphic machine, which tries to emulate important functionalities of a biological mind. We additionally describe the primary electrical properties of biological methods, which would be helpful to implement in a cost-primarily based system. In Sec. II, we describe the primary components of a attainable strong-state implementation. In Sec. III, we describe a wide range of Resistive Switching phenomena, which can serve because the functional foundation for the implementation of key units for neuromorphic computing. In Sec. IV, we describe why transition metallic oxides are promising supplies for future neuromorphic machines. Theoretical models describing different resistive switching mechanisms are mentioned in Sec. V, whereas existing implementations are described in Sec. VI. Part VII presents functions to practical problems. We checklist in Sec. VIII essential basic research challenges and open points. We discuss points associated to specific implementations, www.inventables.com novel materials, units, and phenomena. The event of reliable, fault tolerant, power environment friendly gadgets, their scaling, and integration right into a neuromorphic laptop might deliver us closer to the development of a machine that rivals the brain.