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The circuit realization of a neuromorphic computing system with memristor-based synapse design

Publication ,  Conference
Liu, B; Chen, Y; Wysocki, B; Huang, T
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
November 19, 2012

Conventional CMOS technology is slowly approaching its physical limitations and researchers are increasingly utilizing nanotechnology to both extend CMOS capabilities and to explore potential replacements. Novel memristive systems continue to attract growing attention since their reported physical realization by HP in 2008. Unique characteristics like non-volatility, re-configurability, and analog storage properties make memristors a very promising candidate for the realization of artificial neural systems. In this work, we propose a memristor-based design of bidirectional transmission excitation/inhibition synapses and implement a neuromorphic computing system based on our proposed synapse designs. The robustness of our system is also evaluated by considering the actual manufacturing variability with emphasis on process variation. © 2012 Springer-Verlag.

Duke Scholars

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

ISBN

9783642344749

Publication Date

November 19, 2012

Volume

7663 LNCS

Issue

PART 1

Start / End Page

357 / 365

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences
 

Citation

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Liu, B., Chen, Y., Wysocki, B., & Huang, T. (2012). The circuit realization of a neuromorphic computing system with memristor-based synapse design. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7663 LNCS, pp. 357–365). https://doi.org/10.1007/978-3-642-34475-6_43
Liu, B., Y. Chen, B. Wysocki, and T. Huang. “The circuit realization of a neuromorphic computing system with memristor-based synapse design.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7663 LNCS:357–65, 2012. https://doi.org/10.1007/978-3-642-34475-6_43.
Liu B, Chen Y, Wysocki B, Huang T. The circuit realization of a neuromorphic computing system with memristor-based synapse design. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2012. p. 357–65.
Liu, B., et al. “The circuit realization of a neuromorphic computing system with memristor-based synapse design.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7663 LNCS, no. PART 1, 2012, pp. 357–65. Scopus, doi:10.1007/978-3-642-34475-6_43.
Liu B, Chen Y, Wysocki B, Huang T. The circuit realization of a neuromorphic computing system with memristor-based synapse design. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2012. p. 357–365.
Journal cover image

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

ISBN

9783642344749

Publication Date

November 19, 2012

Volume

7663 LNCS

Issue

PART 1

Start / End Page

357 / 365

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences