A neuromorphic ASIC design using one-selector-one-memristor crossbar

Conference Paper

The applications of memristors in neuromorphic computing have been extensively studied for its analogy to synapse. To overcome sneak path issue, nonlinear resistive selectors have been introduced to the design of memristor crossbar, enabling a high integration density and robust computing capability. However, the nonlinearity of such selectors also influences the computation accuracy of the vector-matrix multiplication performed on the memristor crossbar. In this work, we evaluate the impact of nonlinear resistive selectors on the computation robustness of a Hopfield spike-based pattern recognition system based on memristor crossbar technology. The methods that can suppress the adverse impact of the nonlinear selector on the system performance are also studied.

Full Text

Duke Authors

Cited Authors

  • Yan, B; Mahmoud, AM; Yang, JJ; Wu, Q; Chen, Y; Li, HH

Published Date

  • July 29, 2016

Published In

Volume / Issue

  • 2016-July /

Start / End Page

  • 1390 - 1393

International Standard Serial Number (ISSN)

  • 0271-4310

International Standard Book Number 13 (ISBN-13)

  • 9781479953400

Digital Object Identifier (DOI)

  • 10.1109/ISCAS.2016.7527509

Citation Source

  • Scopus