International Journal of Engineering and Technology

The sudden realization of need to modify the machines at architectural level to exhibit intelligence has led many investigations in Biological systems. “Humans” being most intelligent living things are the subject matter. Human Brain is one of the complex system which we are still unable to understand and mimic. In our pursuit of emulating human intelligence using complex hardware systems, many interdisciplinary domains have emerged. Neuromorphic engineering is a domain where electronic systems are designed based on Bio-inspired architectures. This paper provides a Brief review of The Journey of Human race towards imitating human intelligence in machines. Various Facts, Theories and Hypotheses in the domain of Neuromorphic Engineering are discussed. This work outlines the various approaches, architectures, devices and methodologies used in Electronic Implementation of Neuromorphic Systems. This paper will act as primer for any researcher willing to implement morphological circuits. Here we have discussed the progress of current trends in implementation of Cognition in Machine. The gap between software simulation and hardware emulation, FPGA and VLSI implementation is debated. To reach to a wider audience the limitations and open research issues pertaining to Hardware implementation of Bio-inspired architectures are discussed.