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Time of the last modification database: 2015-04-23 09:52:17
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  1. Qin, S., Dong, R., Yan, X., Du, Q., A reproducible write–(read)n–erase and multilevel bio-memristor based on DNA molecule. Organic Electronics, vol.22, pp.147–153, July 2015.
  2. Dongale, T.D., Patil, K.P., Mullani, S.B., More, K.V., Delekar, S.D., Patil, P.S., Gaikwad, P.K., Kamat, R.K., Investigation of process parameter variation in the memristor based resistive random access memory (RRAM): Effect of device size variations. Materials Science in Semiconductor Processing, vol.35, pp.174–180, July 2015.
  3. Shekhawat, N.S., Jha, S.K., Extending parallel programming education beyond the von Neumann architecture. Workshop on Parallel and Distributed Computing Education (Edupar), pp.2, 25th May 2015.
  4. Mathiyalagan, K., Park, J.H., Sakthivel, R., Synchronization for delayed memristive BAM neural networks using impulsive control with random nonlinearities. Applied Mathematics and Computation, vol.259, pp.967–979, 15th May 2015.
  5. Rudra, M.R., Pieper, R.J., Memristor Characteristics via an Integration of Drift and Tunnel Barrier Models. IETE Journal of Research, 16th April 2015.
  6. Ziegler, M., Riggert, C., Hansen, M., Bartsch, T., Kohlstedt, H., Memristive Hebbian Plasticity Model: Device Requirements for the Emulation of Hebbian Plasticity Based on Memristive Devices. Biomedical Circuits and Systems, IEEE Transactions on, vol., no., pp.10, 14th April 2015.
  7. Covi, E., Brivio, S., Fanciulli, M., Spiga, S., Synaptic potentiation and depression in Al:HfO2-based memristor. Microelectronic Engineering, In Press, Uncorrected Proof, pp.4, 12th April 2015.
  8. Bürger, J., Goudarzi, A., Stefanovic, D., Teuscher, Ch., Composing a Reservoir of Memristive Networks for Real-Time Computing. arXiv:1504.02833v1, [cs.ET], 11th April 2015.
  9. Liu, B., Wang, Y., You, Z., Han, Y., Li, X., A signal degradation reduction method for memristor ratioed logic (MRL) gates. IEICE Electronics Express, pp.1-6, 8th April 2015.
  10. Ma, J., Chen, Z., Wang, Z., Zhang, Q., A four-wing hyper-chaotic attractor generated from a 4-D memristive system with a line equilibrium. Nonlinear Dynamics, Springer Science+Business Media Dordrecht, pp.14, 8th April 2015.
  11. Sangwan, V.K., Jariwala, D., Kim, I.S., Chen, K.-S., Marks, T.J., Lauhon, L.J., Hersam, M.C., Gate-tunable memristive phenomena mediated by grain boundaries in single-layer MoS2. Nature Nanotechnology, pp.4, 6th April 2015.
  12. Zhang, Y., Shen, Y., Wang, X., Cao, L., A Novel Design for Memristor-Based Logic Switch and Crossbar Circuits. Circuits and Systems I: Regular Papers, IEEE Transactions on, vol., no., pp.10, 6th April 2015.
  13. Hong, Y., Lian, Y., A Memristor-Based Continuous-Time Digital FIR Filter for Biomedical Signal Processing. Circuits and Systems I: Regular Papers, IEEE Transactions on, vol., no., pp.10, 6th April 2015.
  14. Vourkas, I., Stathis, D., Sirakoulis, G.Ch., Massively Parallel Analog Computing: Ariadne’s Thread Was Made of Memristors. Emerging Topics in Computing, IEEE Transactions on, vol., no., pp.11, 6th April 2015.
  15. Zhang, G., Hu, J., Shen, Y., New results on synchronization control of delayed memristive neural networks. Nonlinear Dynamics, Springer, pp.12, 5th April 2015.
  16. Hu, X., Feng, G., Duan, S., Liu, L., Multilayer RTD-memristor-based cellular neural Networks for color image processing. Neurocomputing, In Press, Accepted Manuscript, pp.22, 4th April 2015.
  17. Duan, S., Dong, Z., Hu, X., Wang, L., Li, H., Small-world Hopfield neural networks with weight salience priority and memristor synapses for digit recognition. Neural Computing and Applications, Springer, pp.8, 3rd April 2015.
  18. Lin, T.-Ch., Huang, F.-Y., Du, Z., Lin, Y.-Ch., Synchronization of Fuzzy Modeling Chaotic Time Delay Memristor-Based Chua’s Circuits with Application to Secure Communication. International Journal of Fuzzy Systems, Springer Berlin Heidelberg, 1st April 2015.
  19. Rakkiyappan, R., Velmurugan, G., Li, X., O’Regan, D., Global dissipativity of memristor-based complex-valued neural networks with time-varying delays. Neural Computing and Applications, Springer, pp.21, 1st April 2015.
  20. Gambuzza, L.V., Buscarino, A., Fortuna, L., Frasca, M., Memristor-Based Adaptive Coupling for Consensus and Synchronization. Circuits and Systems I: Regular Papers, IEEE Transactions on, vol.62, no.4, pp.1175-1184, April 2015.
  21. Ascoli, A., Slesazeck, S., Mähne, H., Tetzlaff, R., Mikolajick, T., Nonlinear Dynamics of a Locally-Active Memristor. Circuits and Systems I: Regular Papers, IEEE Transactions on, vol.62, no.4, pp.1165-1174, April 2015.
  22. Ascoli, A., Corinto, F., Tetzlaff, R., A class of versatile circuits, made up of standard electrical components, are memristors. International Journal of Circuit Theory and Applications, Early View, pp.20, 30th March 2015.
  23. Chakraborty, A., Ray, A., Basak, S., Chowdhury, A.R., On a study of optically coupled memristive Chua circuits—rhythmogenesis and amplitude death. Physics Letters A, In Press, Corrected Proof, pp.7, 28th March 2015.
  24. Vongehr, S., Purely Mechanical Memristors and the Missing Memristor. vixra, pp.13, 26th March 2015.
  25. Chen, W., Yang, X., Wang, F.Z., An Omnipotent Memristor Model with Controllable Window Functions. 17th UKSIM-AMSS International Conference on Modelling and Simulation, pp.600-605, 25th March 2015.
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