Analysis of dynamic linear and non-linear memristor device models for emerging neuromorphic computing hardware design

@article{McDonald2010AnalysisOD,
  title={Analysis of dynamic linear and non-linear memristor device models for emerging neuromorphic computing hardware design},
  author={Nathan R. McDonald and Robinson E. Pino and Peter J. Rozwood and Bryant T. Wysocki},
  journal={The 2010 International Joint Conference on Neural Networks (IJCNN)},
  year={2010},
  pages={1-5}
}
The value memristor devices offer to the neuromorphic computing hardware design community rests on the ability to provide effective device models that can enable large scale integrated computing architecture application simulations. Therefore, it is imperative to develop practical, functional device models of minimum mathematical complexity for fast, reliable, and accurate computing architecture technology design and simulation. To this end, various device models have been proposed in the… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-7 of 7 references

How We Found The Missing Memristor

IEEE Spectrum • 2008
View 6 Excerpts
Highly Influenced

Memristor-The Missing Circuit Element LEON 0

. CHUA
1971
View 3 Excerpts
Highly Influenced

Memristive Device and Systems

L. Chua, S. M. Kang
Proceedings of IEEE, vol. 64, no. 2, 1976, pp. 209-223. Fig. 5. Plots of I(t) & V(t) (a), w(t) (b), V-I hysteresis behavior (c), and M(t) (d) memristor simulation results using non-linear dopant drift model and Joglekar’s window function, with parameters μD = 6.4 x 10 m2Vs, D = 24 nm, x0 = 0.6, Ro • 1976
View 1 Excerpt

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