DocumentCode
70672
Title
Stochastic Electronics: A Neuro-Inspired Design Paradigm for Integrated Circuits
Author
Hamilton, Tara Julia ; Afshar, Saeed ; van Schaik, Andre ; Tapson, Jonathan
Author_Institution
MARCS Inst., Univ. of Western Sydney, Sydney, NSW, Australia
Volume
102
Issue
5
fYear
2014
fDate
May-14
Firstpage
843
Lastpage
859
Abstract
As advances in integrated circuit (IC) fabrication technology reduce feature sizes to dimensions on the order of nanometers, IC designers are facing many of the problems that evolution has had to overcome in order to perform meaningful and accurate computations in biological neural circuits. In this paper, we explore the current state of IC technology including the many new and exciting opportunities “beyond CMOS.” We review the role of noise in both biological and engineered systems and discuss how “stochastic facilitation” can be used to perform useful and precise computation. We explore nondeterministic methodologies for computation in hardware and introduce the concept of stochastic electronics (SE); a new way to design circuits and increase performance in highly noisy and mismatched fabrication environments. This approach is illustrated with several circuit examples whose results demonstrate its exciting potential.
Keywords
integrated circuit design; nanoelectronics; neural nets; biological neural circuits; biological system; engineered systems; integrated circuits; neuroinspired design paradigm; nondeterministic methods; stochastic electronics; stochastic facilitation; Biological system modeling; Biology; CMOS integrated circuits; Integrated circuits; Neuroscience; Noise measurement; Stochastic processes; Thermal noise; Transistors; Bio-inspired engineering; integrated circuit (IC) design; neuromorphic engineering (NE); stochastic electronics;
fLanguage
English
Journal_Title
Proceedings of the IEEE
Publisher
ieee
ISSN
0018-9219
Type
jour
DOI
10.1109/JPROC.2014.2310713
Filename
6785952
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