An extensive analysis of various neural models and neuromorphic engineering

Abstract

Neuromorphic engineering is becoming an important topic of research due to the paradigm shift from traditional computing architectures to data-driven, cognitive computing. Numerous studies on neuromorphic objects, circuits, and systems may be found in the literature. This paper aims to analyze current advances in neuromorphic engineering and related topics in order to recommend important avenues for future research. Developing new computing paradigms and guiding the development of a new generation of technologies that can combine the benefits of large-scale industrial electronics with the computational performance of brains requires an understanding of the computational principles used by the brain and how they are physically embodied. Given the increasing volumes of data and the pressing need for intelligent, flexible computing, our analysis suggests that neuromorphic engineering has a bright future.