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Time of the last modification database: 2014-11-21 22:55:42
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  1. Zhang, G., Shen, Y., Yin, Q., Sun, J., Passivity analysis for memristor-based recurrent neural networks with discrete and distributed delays. Neural Networks, vol.61, pp.49–58, January 2015.
  2. Sheri, A.M., Rafique, A., Pedrycz, W., Jeon, M., Contrastive divergence for memristor-based restricted Boltzmann machine. Engineering Applications of Artificial Intelligence, vol.37, pp.336–342, January 2015.
  3. Dong, R., Yan, X., Zhang, Z., Wang, M., Memristive behavior and forming mechanism of homogeneous TiOx device. Materials Research Bulletin, vol.61, pp.101–104, January 2015.
  4. Rakkiyappan, R., Chandrasekar, A., Cao, J., Passivity and Passification of Memristor-Based Recurrent Neural Networks With Additive Time-Varying Delays. Neural Networks and Learning Systems, IEEE Transactions on, vol., no., pp.15, 13th November 2014.
  5. Biolek, D., Biolek, Z., Biolková, V., Kolka, Z., Modeling of TiO2 memristor: from analytic to numerical analyses. Semiconductor Science and Technology, vol.29, no.12, pp.1-5, 13th November 2014.
  6. Wang, Ch., Liu, G., Chen, Y., Li, R., Zhang, W., Wang, L., Zhang, B., Synthesis and Nonvolatile Memristive Switching Effect of A Donor-Acceptor Structured Oligomer. Journal of Materials Chemistry C, 12th November 2014.
  7. Wen, S., Huang, T., Zeng, Z., Chen, Y., Li, P., Circuit design and exponential stabilization of memristive neural networks. Neural Networks, In Press, Accepted Manuscript, pp.12, 12th November 2014.
  8. Bessonov, A.A., Kirikova, M.N., Petukhov, D.I., Allen, M., Ryhänen, T., Bailey, M.J.A., Layered memristive and memcapacitive switches for printable electronics. Nature Materials, pp.1-6, 10th November 2014.
  9. Verrelli, E., Gray, R.J., O'Neill, M., Kelly, S.M., Kemp, N.T., Microwave oven fabricated hybrid memristor devices for non-volatile memory storage. Materials Research Express, vol.1, no.4, pp.9, 10th November 2014.
  10. Wang, L., Shen, Y., Yin, Q., Zhang, G., Adaptive Synchronization of Memristor-Based Neural Networks with Time-Varying Delays. Neural Networks and Learning Systems, IEEE Transactions on, vol., no., pp.10, 7th November 2014.
  11. Tranchant, J., Janod, E., Corraze, B., Stoliar, P., Rozenberg, M., Besland, M.-P., Cario, L., Control of resistive switching in AM4Q8 narrow gap Mott insulators: A first step towards neuromorphic applications. Physica Status Solidi (a), Early View, pp.1-6, 7th November 2014.
  12. Panda, D., Tseng, T.-Y., Perovskite Oxides as Resistive Switching Memories: A Review. Ferroelectrics, vol.471, no.1, pp.23-64, 7th November 2014.
  13. Lohn, A.J., Mickel, P.R., Marinella, M.J., Modeling of filamentary resistive memory by concentric cylinders with variable conductivity. Applied Physics Letters, vol.105, no.18, pp.5, 7th November 2014.
  14. Tripathi, S.K., Kaur, R., Rani, M., Oxide Nanomaterials and their Applications as a Memristor. Solid State Phenomena, pp.67-69, November 2014.
  15. Ibrayev, T., Fedorova, I., Maan, A.K., James, A.P., On Design of Memristive Amplifier Circuits. Circuits and Systems, vol.5, no.11, pp.265-273, November 2014.
  16. Markin, V.S., Volkov, A.G., Chua, L.O., An Analytical Model of Memristors in Plants. Plant Signaling & Behavior, 31st October 2014.
  17. Volkov, A.G., Reedus, J., Mitchell, C.M., Tucket, C., Volkova, M.I., Markin, V.S., Chua, L.O., Memory elements in the electrical network of Mimosa pudica L.. Plant Signaling & Behavior, 31st October 2014.
  18. Bao, H.-B., Cao, J.-D., Projective synchronization of fractional-order memristor-based neural networks. Neural Networks, In Press, Accepted Manuscript, pp.22, 31st October 2014.
  19. Gale, E., Non-ideal memristors for a non-ideal world. Physica Status Solidi (a), Early View, pp.1-10, 31st October 2014.
  20. Riaza, R., Second order mem-circuits. International Journal of Circuit Theory and Applications, Early View, pp.24, 30th October 2014.
  21. Adhikari, S.P., Kim, H., Budhathoki, R.K., Yang, C., Chua, L.O., A Circuit-Based Learning Architecture for Multilayer Neural Networks With Memristor Bridge Synapses. Circuits and Systems I: Regular Papers, IEEE Transactions on, vol., no., pp.9, 29th October 2014.
  22. Rakkiyappan, R., Velmurugan, G., Rihan, F.A., Lakshmanan, S., Stability analysis of memristor-based complex-valued recurrent neural networks with time delays. Complexity, Early View, pp.26, 28th October 2014.
  23. Kornijcuk, V., Kavehei, O., Lim, H., Seok, J.E., Kim, S.K., Kim, I., Lee, W.-S., Choi, B.J., Jeong, D.S., Multiprotocol-induced plasticity in artificial synapses. Nanoscale, Accepted Manuscript, 24th October 2014.
  24. Zinov, V.G., Kurakova, N.G., Tsvetkova, L.A., Breakthrough scientific research areas: Formalization of the concept and status validation criteria. Scientific and Technical Information Processing, vol.41.no.3, pp.194-200, 24th October 2014.
  25. Horváth, I., Elmer, G., Simulation of memristors conducting alternating current. Pollack Periodica, vol.9, no.3, pp.71-78, 22nd October 2014.
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