Orientation classification by a winner-take-all network with oxide RRAM based synaptic devices

Shimeng Yu

doi:10.1109/ISCAS.2014.6865321

Orientation classification by a winner-take-all network with oxide RRAM based synaptic devices

Shimeng Yu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

13 Scopus citations

Abstract

An emerging application for the oxide based resistive random access memory (RRAM) technology is to serve as the synaptic device for the hardware implementation of neuromorphic computing. The gradual resistance modulation capability in RRAM is proposed for emulating analog synapses, and the stochastic switching behavior in RRAM is proposed for emulating binary synapses. In order to evaluate the effectiveness of analog synapses and binary synapses in realizing the competitive learning algorithm, a simulation of winner-take-all network is performed based on the parameters extracted from the experiments. The simulation suggests that the orientation classification can be effectively realized using both analog synapses and binary synapses.

Original language	English (US)
Title of host publication	2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1058-1061
Number of pages	4
ISBN (Print)	9781479934324
DOIs	https://doi.org/10.1109/ISCAS.2014.6865321
State	Published - Jan 1 2014
Event	2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014 - Melbourne, VIC, Australia Duration: Jun 1 2014 → Jun 5 2014

Publication series

Name	Proceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)	0271-4310

Other

Other	2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014
Country/Territory	Australia
City	Melbourne, VIC
Period	6/1/14 → 6/5/14

Keywords

RRAM
neural network
neuromorphic computing
resistive switching
synaptic device
winner-take-all

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/ISCAS.2014.6865321

Cite this

Yu, S. (2014). Orientation classification by a winner-take-all network with oxide RRAM based synaptic devices. In 2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014 (pp. 1058-1061). Article 6865321 (Proceedings - IEEE International Symposium on Circuits and Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCAS.2014.6865321

Orientation classification by a winner-take-all network with oxide RRAM based synaptic devices. / Yu, Shimeng.
2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 1058-1061 6865321 (Proceedings - IEEE International Symposium on Circuits and Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yu, S 2014, Orientation classification by a winner-take-all network with oxide RRAM based synaptic devices. in 2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014., 6865321, Proceedings - IEEE International Symposium on Circuits and Systems, Institute of Electrical and Electronics Engineers Inc., pp. 1058-1061, 2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014, Melbourne, VIC, Australia, 6/1/14. https://doi.org/10.1109/ISCAS.2014.6865321

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abstract = "An emerging application for the oxide based resistive random access memory (RRAM) technology is to serve as the synaptic device for the hardware implementation of neuromorphic computing. The gradual resistance modulation capability in RRAM is proposed for emulating analog synapses, and the stochastic switching behavior in RRAM is proposed for emulating binary synapses. In order to evaluate the effectiveness of analog synapses and binary synapses in realizing the competitive learning algorithm, a simulation of winner-take-all network is performed based on the parameters extracted from the experiments. The simulation suggests that the orientation classification can be effectively realized using both analog synapses and binary synapses.",

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Orientation classification by a winner-take-all network with oxide RRAM based synaptic devices

Abstract

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Keywords

ASJC Scopus subject areas

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