Revisiting memristor properties
Publication
, Journal Article
Chen, L; He, Z; Li, C; Wen, S; Chen, Y
Published in: International Journal of Bifurcation and Chaos
September 30, 2020
Memristor is a natural synapse because of its nanoscale and memory property, which influences the performance of memristive artificial neural networks. A three-variable memristor model is simplified with 15 kinds of properties, including the learning experience, the forgetting curve, the spiking time-dependent plasticity (STDP), the spiking rate dependent plasticity (SRDP), and the integration property. Through the analysis of the model, one more unobserved property called pseudo-polarity reversibility property is predicted by assuming the long-term memory is independent of memductance.
Duke Scholars
Published In
International Journal of Bifurcation and Chaos
DOI
ISSN
0218-1274
Publication Date
September 30, 2020
Volume
30
Issue
12
Related Subject Headings
- Fluids & Plasmas
- 4903 Numerical and computational mathematics
- 4901 Applied mathematics
- 0913 Mechanical Engineering
- 0103 Numerical and Computational Mathematics
- 0102 Applied Mathematics
Citation
APA
Chicago
ICMJE
MLA
NLM
Chen, L., He, Z., Li, C., Wen, S., & Chen, Y. (2020). Revisiting memristor properties. International Journal of Bifurcation and Chaos, 30(12). https://doi.org/10.1142/S0218127420501722
Chen, L., Z. He, C. Li, S. Wen, and Y. Chen. “Revisiting memristor properties.” International Journal of Bifurcation and Chaos 30, no. 12 (September 30, 2020). https://doi.org/10.1142/S0218127420501722.
Chen L, He Z, Li C, Wen S, Chen Y. Revisiting memristor properties. International Journal of Bifurcation and Chaos. 2020 Sep 30;30(12).
Chen, L., et al. “Revisiting memristor properties.” International Journal of Bifurcation and Chaos, vol. 30, no. 12, Sept. 2020. Scopus, doi:10.1142/S0218127420501722.
Chen L, He Z, Li C, Wen S, Chen Y. Revisiting memristor properties. International Journal of Bifurcation and Chaos. 2020 Sep 30;30(12).
Published In
International Journal of Bifurcation and Chaos
DOI
ISSN
0218-1274
Publication Date
September 30, 2020
Volume
30
Issue
12
Related Subject Headings
- Fluids & Plasmas
- 4903 Numerical and computational mathematics
- 4901 Applied mathematics
- 0913 Mechanical Engineering
- 0103 Numerical and Computational Mathematics
- 0102 Applied Mathematics