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Reconfigurable Neuromorphic Computing System with Memristor-Based Synapse Design

Publication ,  Journal Article
Liu, B; Chen, Y; Wysocki, B; Huang, T
Published in: Neural Processing Letters
April 1, 2015

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.

Duke Scholars

Published In

Neural Processing Letters

DOI

EISSN

1573-773X

ISSN

1370-4621

Publication Date

April 1, 2015

Volume

41

Issue

2

Start / End Page

159 / 167

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 4611 Machine learning
  • 4602 Artificial intelligence
  • 1702 Cognitive Sciences
  • 0801 Artificial Intelligence and Image Processing
 

Citation

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ICMJE
MLA
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Liu, B., Chen, Y., Wysocki, B., & Huang, T. (2015). Reconfigurable Neuromorphic Computing System with Memristor-Based Synapse Design. Neural Processing Letters, 41(2), 159–167. https://doi.org/10.1007/s11063-013-9315-8
Liu, B., Y. Chen, B. Wysocki, and T. Huang. “Reconfigurable Neuromorphic Computing System with Memristor-Based Synapse Design.” Neural Processing Letters 41, no. 2 (April 1, 2015): 159–67. https://doi.org/10.1007/s11063-013-9315-8.
Liu B, Chen Y, Wysocki B, Huang T. Reconfigurable Neuromorphic Computing System with Memristor-Based Synapse Design. Neural Processing Letters. 2015 Apr 1;41(2):159–67.
Liu, B., et al. “Reconfigurable Neuromorphic Computing System with Memristor-Based Synapse Design.” Neural Processing Letters, vol. 41, no. 2, Apr. 2015, pp. 159–67. Scopus, doi:10.1007/s11063-013-9315-8.
Liu B, Chen Y, Wysocki B, Huang T. Reconfigurable Neuromorphic Computing System with Memristor-Based Synapse Design. Neural Processing Letters. 2015 Apr 1;41(2):159–167.
Journal cover image

Published In

Neural Processing Letters

DOI

EISSN

1573-773X

ISSN

1370-4621

Publication Date

April 1, 2015

Volume

41

Issue

2

Start / End Page

159 / 167

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 4611 Machine learning
  • 4602 Artificial intelligence
  • 1702 Cognitive Sciences
  • 0801 Artificial Intelligence and Image Processing