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Time of the last modification database: 2017-12-11 17:29:52
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  1. Zheng, M., Li, L., Peng, H., Xiao, J., Yang, Y., 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. Dongale, T.D., Mohite, S.V., Pawar, P.S., Bagade, A.A., Tikke, R.S., Rajpure, K.Y., Mullani, N.B., Kamat, R.K., Patil, V.B., Teli, A.M., Khot, K.V., Kumbhar, V.S., Bhosale, P.N., Patil, P.S., Mimicking the Synaptic Weights and Human Forgetting Curve Using Hydrothermally Grown Nanostructured CuO Memristor Device. Journal of Nanoscience and Nanotechnology, vol.18, no.2, pp.984-991, 1st January 2018.
  3. Wijesinghe, P., Ankit, A., Sengupta, A., Roy, K., An All-Memristor Deep Spiking Neural Network: A Step Towards Realizing the Low Power, Stochastic Brain. arXiv:1712.01472, [cs.ET], 6th December 2017.
  4. Ascoli, A., Baumann, D., Tetzlaff, R., Chua, L.O., Hild, M., Memristor-enhanced humanoid robot control system – part I: Theory behind the novel memcomputing paradigm. International Journal of Circuit Theory and Applications, pp.1-29, 4th December 2017.
  5. Niroula, J., Agarwal, S., Jacobs-Gedrim, R., Schiek, R.L., Hughart, D., Hsia, A., James, C.D., Marinella, M.J., Piecewise empirical model (PEM) of resistive memory for pulsed analog and neuromorphic applications. Journal of Computational Electronics, vol.16, no.4, pp.1144–1153, 2nd December 2017.
  6. Xue, Y., Zheng, B.-C., Li, T., Li, Y., Robust adaptive state feedback sliding-mode control of memristor-based Chua’s systems with input nonlinearity. Applied Mathematics and Computation, vol.314, pp.142–153, 1st December 2017.
  7. Ayten, U.E., Minaei, S., Sağbaş, M., Memristor emulator circuits using single CBTA. AEU - International Journal of Electronics and Communications, vol.82, pp.109-118, December 2017.
  8. Liu, S., Yu, Y., Zhang, S., Robust synchronization of memristor-based fractional-order Hopfield neural networks with parameter uncertainties. Neural Computing and Applications, pp.1-10, 30th November 2017.
  9. Baumann, D., Ascoli, A., Tetzlaff, R., Chua, L.O., Hild, M., Memristor‐enhanced humanoid robot control system–part II: circuit theoretic model and performance analysis. International Journal of Circuit Theory and Applications, pp.1-37, 30th November 2017.
  10. Muthulakshmi, S., Dash, C.S., Prabaharan, S.R.S, Memristor-Based Approximate Adders for Error Resilient Applications. Nanoelectronic Materials and Devices, pp.51-59, 28th November 2017.
  11. Reddy, M.G.S.P., Ravi, V., Nondestructive Read Circuit for Memristor-Based Memories. Nanoelectronic Materials and Devices, pp.123-131, 28th November 2017.
  12. Ravi, V., Prabaharan, S.R.S., Weak Cell Detection Techniques for Memristor-Based Memories. Nanoelectronic Materials and Devices, pp.101-110, 28th November 2017.
  13. Nayak, A., Sahoo, S., Prabaharan, S.R.S., Memristor Equipped Error Detection Technique. Nanoelectronic Materials and Devices, pp.183-191, 28th November 2017.
  14. Chen, M., Sun, M., Bao, B., Wu, H., Xu, Q., Wang, J., Controlling extreme multistability of memristor emulator-based dynamical circuit in flux–charge domain. Nonlinear Dynamics, pp.1-18, 25th November 2017.
  15. Soell, C., Reichenbach, M., Roeber, J., Hagelauer, A., Weigel, R., Fey, D., Case study on memristor-based multilevel memories. International Journal of Circuit Theory and Applications, pp.1-14, 24th November 2017.
  16. Yan, X., Zhao, J., Liu, S., Zhou, Z., Liu, Q., Chen, J., Liu, X.Y., Memristor with Ag-Cluster-Doped TiO2 Films as Artificial Synapse for Neuroinspired Computing. Advanced Functional Materials, pp.1-9, 24th November 2017.
  17. Li, Y., Yin, K.-S., Zhang, M.-Y., Cheng, L., Lu, K., Long, S.-B., Zhou, Y., Wang, Z., Xue, K.-H., Liu, M., Miao, X.-S., Correlation analysis between the current fluctuation characteristics and the conductive filament morphology of HfO2-based memristor. Applied Physics Letters, vol.111, no.21, pp.1-5, 21st November 2017.
  18. Saxena, V., A Compact CMOS Memristor Emulator Circuit and its Applications. arXiv:1711.06819, [cs.ET], 18th November 2017.
  19. Zhou, Y., Li, C., Chen, L., Huang, T., Global exponential stability of memristive Cohen-Grossberg neural networks with mixed delays and impulse time window. Neurocomputing, pp.1-8, 17th November 2017.
  20. Dongale, T.D., Bagade, A.A., Mohite, S.V., Rananavare, A.D., Orlowski, M.K., Kamat, R.K., Rajpure, K.Y., Bipolar resistive switching with coexistence of mem-elements in the spray deposited CoFe2O4 thin film. Journal of Materials Science: Materials in Electronics, pp.1-8, 15th November 2017.
  21. Dongale, T.D., Pawar, P.S., Tikke, R.S., Mullani, N.B., Waifalkar, P.P., Patil, V.B., Teli, A.M., Khot, K.V., Sheikh, A.D., A low-cost copper oxide thin film memristive device based on successive ionic layer adsorption and reaction method. Materials Science in Semiconductor Processing, vol.71, pp.102-108, 15th November 2017.
  22. Shi, Y., Cao, J., Chen, G., Exponential stability of complex-valued memristor-based neural networks with time-varying delays. Applied Mathematics and Computation, vol.313, pp.222–234, 15th November 2017.
  23. Bennett, C.H., Lorival, J.-E., Marc, F., Cabaret, T., Jousselme, B., Derycke, V., Klein, J.-O., Maneux, C., Multiscaled simulation methodology for neuro-inspired circuits demonstrated with an organic memristor. IEEE Transactions on Multi-Scale Computing Systems, pp.1-11, 14th November 2017.
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