Scholars@Duke

An adjustable memristor model and its application in small-world neural networks

Publication ,  Conference
Hu, X; Feng, G; Li, H; Chen, Y; Duan, S
Published in: Proceedings of the International Joint Conference on Neural Networks
September 3, 2014
Published version (DOI)

This paper presents a novel mathematical model for the TiO2 thin-film memristor device discovered by Hewlett-Packard (HP) labs. Our proposed model considers the boundary conditions and the nonlinear ionic drift effects by using a piecewise linear window function. Four adjustable parameters associated with the window function enable the model to capture complex dynamics of a physical HP memristor. Furthermore, we realize synaptic connections by utilizing the proposed memristor model and provide an implementation scheme for a small-world multilayer neural network. Simulation results are presented to validate the mathematical model and the performance of the neural network in nonlinear function approximation.

Duke Scholars

Hai "Helen" Li
Author Hai "Helen" Li Electrical and Computer Engineering
Yiran Chen
Author Yiran Chen Electrical and Computer Engineering

Published In

Proceedings of the International Joint Conference on Neural Networks

DOI

10.1109/IJCNN.2014.6889605

Publication Date

September 3, 2014

Start / End Page

7 / 14
 

Citation

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Hu, X., Feng, G., Li, H., Chen, Y., & Duan, S. (2014). An adjustable memristor model and its application in small-world neural networks. In Proceedings of the International Joint Conference on Neural Networks (pp. 7–14). https://doi.org/10.1109/IJCNN.2014.6889605
Hu, X., G. Feng, H. Li, Y. Chen, and S. Duan. “An adjustable memristor model and its application in small-world neural networks.” In Proceedings of the International Joint Conference on Neural Networks, 7–14, 2014. https://doi.org/10.1109/IJCNN.2014.6889605.
Hu X, Feng G, Li H, Chen Y, Duan S. An adjustable memristor model and its application in small-world neural networks. In: Proceedings of the International Joint Conference on Neural Networks. 2014. p. 7–14.
Hu, X., et al. “An adjustable memristor model and its application in small-world neural networks.” Proceedings of the International Joint Conference on Neural Networks, 2014, pp. 7–14. Scopus, doi:10.1109/IJCNN.2014.6889605.
Hu X, Feng G, Li H, Chen Y, Duan S. An adjustable memristor model and its application in small-world neural networks. Proceedings of the International Joint Conference on Neural Networks. 2014. p. 7–14.

Published In

Proceedings of the International Joint Conference on Neural Networks

DOI

10.1109/IJCNN.2014.6889605

Publication Date

September 3, 2014

Start / End Page

7 / 14