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Time of the last modification database: 2014-12-21 16:47:15
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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. Sah, M.Pd., Yang, Ch., Kim, H., Muthuswamy, B., Jevtic, J., Chua, L.O., A Generic Model of Memristors with Parasitic Components. Circuits and Systems I: Regular Papers, IEEE Transactions on, vol., no., pp.10, 2015.
  5. Ghofrani, A., Lastras-Montano, M.A., Cheng, K.-T.T., Toward Large-Scale Access-Transistor-Free Memristive Crossbars. Asia South-Pacific Design Automation Conference (ASP-DAC), Tokyo, Japan, pp.6, 2015.
  6. Kvatinsky, S., Ramadan, M., Friedman, E.G., Kolodny, A., VTEAM – A General Model for Voltage Controlled Memristor. Transactions on Circuits and Systems II: Express Briefs, In review, 2015.
  7. Kannan, S., Karimi, N., Sinanoglu, O., Karri, R., Security Vulnerabilities of Emerging Nonvolatile Main Memories and Countermeasures. Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on, vol.34, no.1, pp.2-15, 18th December 2014.
  8. Messerschmitt, F., Kubicek, M., Schweiger, S., Rupp, J.L.M., Memristors: Memristor Kinetics and Diffusion Characteristics for Mixed Anionic-Electronic SrTiO3-δ Bits: The Memristor-Based Cottrell Analysis Connecting Material to Device Performance. Advanced Functional Materials, vol.24, no.47, pp.7447, 12th December 2014.
  9. Lin, D., Chua, L.O., Hui, S.-Y., The First Man-Made Memristor: Circa 1801. Proceedings of the IEEE, vol.103, no.1, pp.131-136, 10th December 2014.
  10. Yang, Ch., Choi, H., Park, S., Sah, M.Pd., Kim, H., Chua, L.O., A memristor emulator as a replacement of a real memristor. Semiconductor Science and Technology, vol.30, no.1, pp.9, 5th December 2014.
  11. Braund, E., Miranda, E.R., Unconventional Computing in Music. Proceedings of the 9th Conference on Interdisciplinary Musicology – CIM14, pp.5, 4th December 2014.
  12. Hu, S. G., Liu, Y., Liu, Z., Chen, T. P., Yu, Q., Deng, L.J., Yin, Y., Hosaka, S., Synaptic long-term potentiation realized in Pavlov's dog model based on a NiOx-based memristor. Journal of Applied Physics, vol.116, no.21, pp.6, 1st December 2014.
  13. Yener, Ş.Ç., Kuntman, H.H., Fully CMOS Memristor Based Chaotic Circuit. Radioengineering, vol.23, no.4, pp.1140-1149, December 2014.
  14. Mathiyalagan, K., Anbuvithya, R., Sakthivel, R., Park, Ju.H., Prakash, P., Reliable stabilization for memristor-based recurrent neural networks with time-varying delays. Neurocomputing, In Press, Accepted Manuscript, pp.17, 29th November 2014.
  15. Xi, H., Li, Y., Huang, X., Generation and Nonlinear Dynamical Analyses of Fractional-Order Memristor-Based Lorenz Systems. Entropy, vol.16, no.12, pp.6240-6253, 28th November 2014.
  16. Jiang, M., Wang, S., Mei, J., Shen, Y., Finite-time synchronization control of a class of memristor-based recurrent neural networks. Neural Networks, In Press, Accepted Manuscript, pp.20, 27th November 2014.
  17. Li, Q., Zeng, H., Li, J., Hyperchaos in a 4D memristive circuit with infinitely many stable equilibria. Nonlinear Dynamics, pp.14, Springer Netherlands, 26th November 2014.
  18. Yavits, L., Kvatinsky, S., Morad, A., Ginosar, R., Resistive Associative Processor. Computer Architecture Letters, vol., no., pp.4, 25th November 2014.
  19. Truong, S.N., Ham, S.-J., Min, K.-S., Neuromorphic crossbar circuit with nanoscale filamentary-switching binary memristors for speech recognition. Nanoscale Research Letters, pp.8, 23rd November 2014.
  20. Niehörster, S., Thomas, A., Preparation of Ta-O-Based Tunnel Junctions to Obtain Artificial Synapses Based on Memristive Switching. Artificial Neural Networks, Methods in Molecular Biology, vol.1260, pp.261-267, 21st November 2014.
  21. Li, G., Mathew, J., Shafik, R.A., Pradhan, D.K., Ottavi, M., Pontarelli, S., Lifetime Reliability Analysis of Complementary Resistive Switches under Threshold and Doping Interface Speed Variations. Nanotechnology, IEEE Transactions on, vol., no., pp.10, 20th November 2014.
  22. Fratrik, M., Klimo, M., Šuch, O., Skvarek, O., Memristive sorting networks. Physica status solidi (c), Early View, pp.1-5, 20th November 2014.
  23. Frasca, M., Gambuzza, L.V., Buscarino, A., Fortuna, L., Implementation of adaptive coupling through memristor. Physica status solidi (c), Early View, pp.1-5, 20th November 2014.
  24. Vourkas, I., Sirakoulis, G.Ch., Employing threshold-based behavior and network dynamics for the creation of memristive logic circuits and architectures. Physica status solidi (c), Early View, pp.1-7, 20th November 2014.
  25. Patterson, G.A., Jimka, F.S., Fierens, P.I., Grosz, D.F., Memristors under the influence of noise and temperature. Physica status solidi (c), Early View, pp.1-5, 20th November 2014.
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