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Time of the last modification database: 2018-02-18 12:12:14
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  1. Zheng, M., Li, L., Peng, H., Yang, Y., Xiao, J., Zhang, Y., Zhao, H., Finite-time stability and synchronization of memristor-based fractional-order fuzzy cellular neural networks. Communications in Nonlinear Science and Numerical Simulation, vol.59, pp.272–291, June 2018.
  2. Li, X., She, K., Zhong, S., Shi, K., Kang, W., Cheng, J., Yu, Y., Extended robust global exponential stability for uncertain switched memristor-based neural networks with time-varying delays. Applied Mathematics and Computation, vol.325, pp.271-290, 15th May 2018.
  3. Yuhang, W., Lingyuan, W., Guodong, L., Lixin, L., Non-destructive photovoltaic reading of interface type memristors using graphene as transparent electrode. Journal of Alloys and Compounds, vol.740, pp.273–277, 5th April 2018.
  4. Chen, C., Li, L., Peng, H., Yang, Y., Adaptive synchronization of memristor-based BAM neural networks with mixed delays. Applied Mathematics and Computation, vol.322, pp.100–110, 1st April 2018.
  5. Shaarawy, N., Emara, A., El-Naggar, A.M., Elbtity, M.E., Ghoneima, M., Radwan, A.G., Design and analysis of 2T2M hybrid CMOS-Memristor based RRAM. Microelectronics Journal, vol.73, pp.75-85, March 2018.
  6. Li, Y., Luo, B., Liu, D., Yang, Z., Robust synchronization of memristive neural networks with strong mismatch characteristics via pinning control. Neurocomputing, pp.1-31, 8th February 2018.
  7. Saxena, V., Wu, X., Zhu, K., Energy-Efficient CMOS Memristive Synapses for Mixed-Signal Neuromorphic System-on-a-Chip. arXiv:1802.02342, [cs.NE], 7th February 2018.
  8. Chandıa, K.J., Bologna, M., Tellini, B., Analytical study on the influence of parasitic elements in a memristor. Mathematical Problems in Engineering, pp.1-17, 7th February 2018.
  9. McFarlane, T., Zdyrko, B., Bandera, Y., Worley, D., Klep, O., Jurča, M., Tonkin, C., Foulger, S., Vilčáková, J., Saha, P., Pfleger, J., Design Rules for Carbazole Derivatized n-Alkyl Methacrylate Polymeric Memristors. Journal of Materials Chemistry C, pp.1-14, 2nd February 2018.
  10. Zhang, R., Zeng, D., Park, J.H., Zhong, S., Yu, Y., Novel discontinuous control for exponential synchronization of memristive recurrent neural networks with heterogeneous time-varying delays. Journal of the Franklin Institute, pp.1-25, 2nd February 2018.
  11. Barnes, B.K., Das, K.S., Resistance Switching and Memristive Hysteresis in Visible-Light-Activated Adsorbed ZnO Thin Films. Scientific Reports, vol.8, article no.2184, 1st February 2018.
  12. Ntinas, V., Vourkas, I., Abusleme, A., Sirakoulis, G.C., Rubio, A., Experimental Study of Artificial Neural Networks Using a Digital Memristor Simulator. IEEE Transactions on Neural Networks and Learning Systems, pp.1-13, 1st February 2018.
  13. Sarma, S., Mothudi, B.M., Dhlamini, M.D., Dhlamini, M.S., Ray, S.C., Conduction Mechanisms in Polyvinyl Alcohol: CdS/CdS: Cu Nanoparticle Hybrid Nanocomposites. Journal of Nanoscience and Nanotechnology, vol.18, no.2, pp.1369-1375(7, 1st February 2018.
  14. Njitacke, Z.T., Kengne, J., Wafo Tapche, R., Pelap, F.B., Uncertain destination dynamics of a novel memristive 4D autonomous system. Chaos, Solitons & Fractals, pp.177-185, February 2018.
  15. Yang. W., Cao, J., Yu, W., Alsaadi, F.E., Hayat, T., Global exponential stability and lag synchronization for delayed memristive fuzzy Cohen-Grossberg BAM neural networks with impulses. Neural Networks, vol.98, pp.122-153, February 2018.
  16. Tarkhan, M., Maymandi-Nejad, M., Design of a memristor based fuzzy processor. AEU - International Journal of Electronics and Communications, vol.84, pp.331–341, February 2018.
  17. Zhang, B., Deng, F., Xie, S., Luo, S., Exponential synchronization of stochastic time-delayed memristor-based neural networks via distributed impulsive control. Neurocomputing, pp.1-21, 31st January 2018.
  18. Xie, X., Wen, S., Zeng, Z., Huang, T., Memristor-Based Circuit Implementation of Pulse-Coupled Neural Network with Dynamical Threshold Generators. Neurocomputing, pp.1-7, 31st January 2018.
  19. Xu, C., Li, P., Periodic dynamics for memristor-based bidirectional associative memory neural networks with leakage delays and time-varying delays. International Journal of Control, Automation and Systems, pp.1-15, 30th January 2018.
  20. Tulina, N.A., Memristor properties of high temperature superconductors. arXiv:1801.09428, [cond-mat.mtrl-sci], 29th January 2018.
  21. Leonov, G.A., Kuznetsov, N.V., The Lyapunov dimension, convergency and entropy for a dynamical model of Chua memristor circuit. arXiv:1801.09679, [math.DS], 29th January 2018.
  22. Yoon, J.H., Wang, Z., Kim, K.M., Wu, H., Ravichandran, V., Hwang, C.S., Yang, J.J., Xia, Q., An artificial nociceptor based on a diffusive memristor. Nature Communications, vol.9, no.417, pp.1-9, 29th January 2018.
  23. Hu, B., Guan, Z.H., Yu, X., Luo, Q., Multisynchronization of Interconnected Memristor-Based Impulsive Neural Networks with Fuzzy Hybrid Control. IEEE Transactions on Fuzzy Systems, pp.1-15, 25th January 2018.
  24. Xumeng, Z., Qing, L., Xiaolong, Z., Hangbing, L., Shibing, L., Ming, L., Modulating 3D Memristor Synapse by Analog Spiking Pulses for Bioinspired Neuromorphic Computing. SCIENCE CHINA Physics, Mechanics & Astronomy, pp.1-5, 25th January 2018.
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