Neuromorphic Computing Based on Emerging Memory Technologies
Document Type
Article
Publication Date
6-1-2016
Abstract
In this paper, we review some of the novel emerging memory technologies and how they can enable energy-efficient implementation of large neuromorphic computing systems. We will highlight some of the key aspects of biological computation that are being mimicked in these novel nanoscale devices, and discuss various strategies employed to implement them efficiently. Though large scale learning systems have not been implemented using these devices yet, we will discuss the ideal specifications and metrics to be satisfied by these devices based on theoretical estimations and simulations. We also outline the emerging trends and challenges in the path towards successful implementations of large learning systems that could be ubiquitously deployed for a wide variety of cognitive computing tasks.
Identifier
84960145823 (Scopus)
Publication Title
IEEE Journal on Emerging and Selected Topics in Circuits and Systems
External Full Text Location
https://doi.org/10.1109/JETCAS.2016.2533298
ISSN
21563357
First Page
198
Last Page
211
Issue
2
Volume
6
Recommended Citation
Rajendran, Bipin and Alibart, Fabien, "Neuromorphic Computing Based on Emerging Memory Technologies" (2016). Faculty Publications. 10479.
https://digitalcommons.njit.edu/fac_pubs/10479
