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Time of the last modification database: 2014-09-11 23:31:11
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  1. Georgiou, P.S., Barahona, M., Yaliraki, S.N., Drakakis, E.M., On memristor ideality and reciprocity. Microelectronics Journal, In Press, Corrected Proof, pp.9, 6th September 2014.
  2. Sun, J., Shen, Y., Quasi-Ideal Memory System. Cybernetics, IEEE Transactions on, vol., no., pp.10, 4th September 2014.
  3. Ghoneim, M.T., Zidan, M.A., Salama, K.N., Hussain, M.M., Towards neuromorphic electronics: Memristors on foldable silicon fabric. Microelectronics Journal, In Press, Corrected Proof, pp.4, 4th September 2014.
  4. Vourkas, I., Sirakoulis,G.Ch., On the generalization of composite memristive network structures for computational analog/digital circuits and systems. Microelectronics Journal, In Press, Corrected Proof, pp.12, 4th September 2014.
  5. Rakkiyappan, R., Sivasamy, R., Li, X., Synchronization of Identical and Nonidentical Memristor-based Chaotic Systems Via Active Backstepping Control Technique. Circuits, Systems, and Signal Processing, pp.16, 4th September 2014.
  6. Jia, Y., Ma, Ch., Xie, S., A novel nonlinear macromodeling using time piecewise volterra series representation. IEEJ Transactions on Electrical and Electronic Engineering, Early View, pp.6, 2nd September 2014.
  7. Fouda, M.E., Radwan, A.G., Memcapacitor response under step and sinusoidal voltage excitations. Microelectronics Journal, In Press, Corrected Proof, 1st September 2014.
  8. Nawrocki, R.A., Voyles, R.M., Shaheen, S.E., Neurons in Polymer: Hardware Neural Units Based on Polymer Memristive Devices and Polymer Transistors. Electron Devices, IEEE Transactions on, vol., no., pp.7, 29th August 2014.
  9. Esmaili Paeen Afrakoti, I., Shouraki, S.B., Haghighat, B., An Optimal Hardware Implementation for Active Learning Method Based on Memristor Crossbar Structures. Systems Journal, IEEE, vol., no., pp.10, 28th August 2014.
  10. Pershin, Y.V., Di Ventra, M., Memcomputing and Swarm Intelligence. arXiv:1408.6741v1, [cs.NE], 28th August 2014.
  11. Martínez, L., Ocampo, O., Kumar, Y., Agarwal, V., ZnO-porous silicon nanocomposite for possible memristive device fabrication. Nanoscale Research Letters, vol.9, no.437, pp.6, 27th August 2014.
  12. Obreja, A.C., Cristea, D., Mihalache, I., Radoi, A., Gavrila, R., Comanescu, F., Kusko, C., Charge transport and memristive properties of graphene quantum dots embedded in poly(3-hexylthiophene) matrix. Applied Physics Letters, vol.105, no.8, pp.5, 26th August 2014.
  13. Jothimurugan, R., Thamilmaran, K., Rocha, R., An experimental analogue for memristor based Chua's circuit. arXiv:1408.4905v1, [nlin.CD], 21st August 2014.
  14. Li, X., Rakkiyappan, R., Velmurugan, G., Dissipativity analysis of memristor-based complex-valued neural networks with time-varying delays. Information Sciences, In Press, Uncorrected Proof, 20th August 2014.
  15. Merrikh-Bayatt, F., Bagheri-Shouraki, S., Nonlinear behavior of memristive devices during tuning process and its impact on STDP learning rule in memristive neural networks. Neural Computing and Applications, pp.9, 20th August 2014.
  16. Zhang, G., Shen, Y., Exponential Stabilization of Memristor-based Chaotic Neural Networks with Time-Varying Delays via Intermittent Control. Neural Networks and Learning Systems, IEEE Transactions on, vol., no., pp.11, 19th August 2014.
  17. Rakkiyappan, R., Velmurugan, G., Cao, J., Finite-time stability analysis of fractional-order complex-valued memristor-based neural networks with time delays. Nonlinear Dynamics, pp.14, Springer Netherlands, 19th August 2014.
  18. Chen, L., Li, Ch., Huang, T., Ahmad, H.G., Chen, Y., A phenomenological memristor model for short-term/long-term memory. Physics Letters A, In Press, Accepted Manuscript, 19th August 2014.
  19. Junsangsri, P., Han, J., Lombardi, F., A Memristor - based Memory Cell with no Refresh. IEEE International Conference on Nanotechnology, pp.4, 18th August 2014.
  20. Gale, E., de Lacy Costello, B., Adamatzky, A., Emergent spiking in non-ideal memristor networks. Microelectronics Journal, In Press, Corrected Proof, 14th August 2014.
  21. Guo, Z., Wang, J., Yan, Z., Global Exponential Synchronization of Two Memristor-Based Recurrent Neural Networks with Time Delays via Static or Dynamic Coupling. Systems, Man, and Cybernetics: Systems, IEEE Transactions on, vol., no., pp.15, 13th August 2014.
  22. Demin, V.A., Erokhin, V.V., Kashkarov, P.K., Kovalchuk, M.V., Electrochemical model of the polyaniline based organic memristive device. Journal of Applied Physics, vol.116, pp.9, 13th August 2014.
  23. Levy, Y., Bruck, J., Cassuto, Y., Friedman, E.G., Kolodny, A., Yaakobi, E., Kvatinsky, S., Logic operations in memory using a memristive Akers array. Microelectronics Journal, In Press, Corrected Proof, 13th August 2014.
  24. Chen, Y.-J., Chang, K.-C., Chang, T.-C., Chen, H.-L., Young, T.-F., Tsai, T.-M., Zhang, R., Chu, T.-J., Ciou, J.-F., Lou, J.-C., Chen, K.-H., Chen, J.-H., Zheng, J.-C., Sze, S.M., Resistance Switching Induced by Hydrogen and Oxygen in Diamond-Like Carbon Memristor. Electron Device Letters, IEEE, vol., no., pp.3, 12th August 2014.
  25. Morozovska, A.N., Eliseev, E.A., Varenyk, O.V., Kim, Y., Strelcov, E., Tselev, A., Morozovsky, N.V., Kalinin, S.V., Nonlinear space charge dynamics in mixed ionic-electronic conductors: Resistive switching and ferroelectric-like hysteresis of electromechanical response. Journal of Applied Physics, vol.116, pp.11, 11th August 2014.
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