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Time of the last modification database: 2017-06-21 18:59:07
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  1. Tu, Z., Ding, N., Li, L., Feng, Y., Zou, L., Zhang, W., Adaptive synchronization of memristive neural networks with time-varying delays and reaction–diffusion term. Applied Mathematics and Computation, vol.311, pp.118–128, 15th October 2017.
  2. Guo, R., Liu, X., Lin, C., Zhang, Z., Existence, uniqueness, and exponential stability analysis for complex-valued memristor-based BAM neural networks with time delays. Applied Mathematics and Computation, vol.311, pp.100-117, 15th October 2017.
  3. Zhang, R., Zeng, D., Zhong, S., Yu, Y., Event-triggered sampling control for stability and stabilization of memristive neural networks with communication delays. Applied Mathematics and Computation, vol.310, pp.57–74, October 2017.
  4. Murgunde, B.K., Rabinal, M.K., Solution processed bilayer junction of silk fibroin and semiconductor quantum dots as multilevel memristor devices. Organic Electronics, vol.48, pp.276-284, September 2017.
  5. Yakopcic, C., Hasan, R., Taha, T.M., On-chip training of memristor crossbar based multi-layer neural networks. Microelectronics Journal, vol.66, pp.31-40, August 2017.
  6. Tian, B., Nukala, P., Ben-Hasine, M., Zhao, X., Wang, X., Shen, H., Wang, J., Sun, S., Lin, T., Sun, J., Ge, J., Huang, R., Duan, C.-G., Reiss, T., Varela, M., Dkhil, B., Meng, X., Chu, J., Interfacial Memristor in Al-LaNiO3 heterostructures. Physical Chemistry Chemical Physics, pp.1-9, 7th July 2017.
  7. Liu, C., Hu, M., Strachan, J.P., Li, H., Rescuing Memristor-based Neuromorphic Design with High Defects. Proceedings of the 54th Annual Design Automation Conference, article no.87, pp.1-6, 19th June 2017.
  8. Xu, X., Zeng, D., Xu, W., Shi, Y., Hu, Y., An Efficient Memristor-based Distance Accelerator for Time Series Data Mining on Data Centers. Proceedings of the 54th Annual Design Automation Conference, article no.58, pp.1-6, 19th June 2017.
  9. Cheng, M., Xia, L., Zhu, Z., Cai, Y., Xie, Y., Wang, Y., Yang, H., TIME: A Training-in-memory Architecture for Memristor-based Deep Neural Networks. Proceedings of the 54th Annual Design Automation Conference, article no.26, pp.1-6, 19th June 2017.
  10. Yilmaz, Y., Bio-inspired Hardware Architectures for Memory, Image Processing, and Control Applications. Dissertation, University of Michigan, Horace H. Rackham School of Graduate Studies, pp.1-113, 14th June 2017.
  11. Pabst, O., Martinsen, Ø, G., Interpretation of the pinched point position in human skin memristor measurements. European Medical and Biological Engineering Conference, Nordic-Baltic Conference on Biomedical Eng., pp.430-433, 13th June 2017.
  12. Samardzic, N., Bajac, B., Srdic, V.V., Stojanovic, G.M., Conduction Mechanisms in Multiferroic Multilayer BaTiO3/NiFe2O4/BaTiO3 Memristors. Journal of Electronic Materials, pp.1-5, 6th June 2017.
  13. Tzouvadaki, I., Aliakbarinodehi, N., De Micheli, G., Carrara, S., Memristive Effect as a Novelty in Drug Monitoring. Nanoscale, pp.1-18, 6th June 2017.
  14. Li, C., Han, L., Jiang, H., Jang, M.-H., Lin, P., Wu, Q., Barnell, M., Yang, J.J., Xin, H.L., Xia, Q., Three-dimensional crossbar arrays of self-rectifying Si/SiO2/Si memristors. Nature Communications, vol.8, article no.15666, pp.1-9, 5th June 2017.
  15. Lian, X., Wang, M., Yan, P., Yang, J.J., Miao, F., Reset switching statistics of TaOx-based Memristor. Journal of Electroceramics, pp.1-5, 2nd June 2017.
  16. Su, L., Zhou, L., Passivity of memristor-based recurrent neural networks with multi-proportional delays. Neurocomputing, pp.1-9, 1st June 2017.
  17. Biolek, Z., Biolek, D., Euler-Lagrange Equations of Networks with Higher-Order Elements. Radioengineering, vol.26, no.2, pp.1-9, June 2017.
  18. Yakopcic, C., Shamsi, J., Mohammadi, K., Amirsoleimani, A., Alirezaee, S., Ahmadi, M., Ahmadi, A., Karami, M.A., Kavehei, O., Al-Sarawi, S., Accurate charge transport model for nanoionic memristive devices. Microelectronics Journal, vol.65, pp.49–57, June 2017.
  19. Emara, A.A.M., Aboudina, M.M., Fahmy, H.A.H., Non-volatile low-power crossbar memcapacitor-based memory. Microelectronics Journal, vol.64, pp.39-44, June 2017.
  20. Bagheri-Soulla, A.A., Ghaznavi-Ghoushchi, M.B., An RRAM-based MLC design approach. Microelectronics Journal, vol.64, pp.9-18, June 2017.
  21. Picos, R., Garcia-Moreno, E., Al Chawa, M.M., Chua, L.O., Using Memristor Formalism in Semiconductor Device Modeling. ECS Meeting Abstracts, 31st May 2017.
  22. Mou, J., Sun, K., Wang, H., Ruan, J., Characteristic analysis of fractional-order 4D hyperchaotic memristive circuit. Mathematical Problems in Engineering, pp.1-17, 28th May 2017.
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