Manufacturable Ti/ZrO2/Cu memristor-based synapses and biomimetic memory applications with circuit implementation-Reference-Cited by-同舟云学术

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Manufacturable Ti/ZrO2/Cu memristor-based synapses and biomimetic memory applications with circuit implementation

Published:2024-08-03 Issue: Volume: Page:
ISSN:0924-090X
Container-title:Nonlinear Dynamics
language:en
Short-container-title:Nonlinear Dyn

Author:

Deng Yue,Xing Guibin,Yuan Fang

Funder

China Postdoctoral Science Foundation

Qingdao Postdoctoral Innovation Project

Postdoctoral Innovation Project of Shandong Province

National Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Natural Science Foundation of Qingdao Municipality

Elite Project of Shandong University of Science and Technology

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11071-024-10069-0.pdf

Reference30 articles.

1. Shafiq, A., Colak, A.B., Sindhu, T.N., Lone, S.A., Alsubie, A., Jarad, F.: Comparative study of artificial neural network versus parametric method in COVID-19 data analysis. Results Phys. 38, 105613 (2022)

2. Bao, H., Zhang, Y.Z., Liu, W.B., Bao, B.C.: Memristor synapse-coupled memristive neuron network: synchronization transition and occurrence of chimera. Nonlinear Dyn. 100, 937–950 (2020)

3. Linden, D.J., Dickinson, M.H., Smeyne, M., Connor, J.A.: A long-term depression of AMPA currents in cultured cerebellar purkinje neurons. Neuron 7, 81–89 (1991)

4. Li, C.L., Wang, X., Du, J.R., Li, Z.J.: Electrical activity and synchronization of HR-tabu neuron network coupled by Chua Corsage memristor. Nonlinear Dyn. 111, 21333–21350 (2023)

5. Yu, H., et al.: Evolution of bio-inspired artificial synapses: materials, structures, and mechanisms. Small 17, 2000041 (2021)

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