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Time of the last modification database: 2019-04-22 13:48:53
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  1. Pabst, O., Rectifying memristor bridge circuit realized with human skin. Journal of Electrical Bioimpedance, vol.9, no.1, pp.184-192, 31st December 2019.
  2. Escudero, M., Vourkas, I., Rubio, A., Moll, F., On the Variability-aware Design of Memristor-based Logic Circuits. IEEE 18th International Conference on Nanotechnology (IEEE-NANO), pp.1-4, 23rd July 2019.
  3. Xue, Q., Wang, Y.-C., Wei, X.-H., Synaptic plasticity of room-temperature fabricated amorphous MoOx film based memristor. Applied Surface Science, vol.479, pp.469-474, 15th June 2019.
  4. Uddin, M., Hasan, M.S., Rose, G.S., On the Theoretical Analysis of Memristor based True Random Number Generator. Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI), pp.1-6, 9th May 2019.
  5. Mishra, A., Saha, S., Jha, C.K., Agrawal, V., Mitra, B., Dixit, A., Singh, M., Overview of Long Short-Term Memory Neural Networks. Journal of Electronic Materials, vol.48, no.5, pp.1-5, May 2019.
  6. Bao, B., Zhang, X., Bao, H., Wu, P., Wu, Z., Chen, M., Dynamical effects of memristive load on peak current mode buck-boost switching converter. Chaos, Solitons & Fractals, vol.122, pp.69-79, May 2019.
  7. Lian, X., Miao, F., Wan, X., Guo, Y.-F., Tong, Y., Set transition statistics of different switching regimes of TaOx memristor. Journal of Electroceramics, pp.1-6, 19th April 2019.
  8. Hu, S.G., Qiao, G.C., Liu, Y.A., Rong, L.M., Yu, Q., Liu, Y., An improved memristor model connecting plastic synapse and nonlinear spiking neuron. Journal of Physics D: Applied Physics, pp.1-19, 16th April 2019.
  9. Hu, W., Wei, R., Lin, J., Analytic analysis for effects of input initial phase on input-output dynamics of memristor. IEICE Electronics Express, pp.1-6, 16th April 2019.
  10. Jun, L., Shouyong, X., Chong, C., Dan, X., Mingjin, Y., A spintronic memristor crossbar array for fuzzy control with application in the water valves control system. Measurement and Control, pp.1-14, 15th April 2019.
  11. Wlaźlak, E., Marzec, M.M., Zawal, P., Szaciłowski, K., Memristor in a reservoir system–experimental evidence for high level computing and neuromorphic behavior of PbI2. Surfaces, Interfaces, and Applications, pp.1-29, 15th April 2019.
  12. Yao, X., Zhong, S., Hu, T., Cheng, H., Zhang, D., Uniformly stable and attractive of fractional-order memristor-based neural networks with multiple delays. Applied Mathematics and Computation, vol.347, pp.392-403, 15th April 2019.
  13. Kuznetsov, N.V., Mokaev, T.N., Kudryashova, E.V., Kuznetsova, O.A., Mokaev, R.N., Yuldashev, M.V., Yuldashev, R.V., Stability and Chaotic Attractors of Memristor-Based Circuit with a Line of Equilibria. AETA 2018 - Recent Advances in Electrical Engineering and Related Sciences: Theory and Application, pp.639-644, 13th April 2019.
  14. Pham, K.V., Nguyen, T.V., Min, K.-S., Partial-Gated Memristor Crossbar for Fast and Power-Efficient Defect-Tolerant Training. Micromachines, vol.10, no.4, pp.1-18, 13th April 2019.
  15. Zhou, Y., Wu, H., Gao, B., Wu, W., Xi, Y., Yao, P., Zhang, S., Zhang, Q., Qian, H., Associative Memory for Image Recovery with a High‐Performance Memristor Array. Advanced Functional Materials, pp.1-7, 12th April 2019.
  16. Lu, T., Investigation of the Conduction Mechanisms in the Ag-and Cu-Based Self-Directed Channel (SDC) Memristor. Undergraduate Research and Scholarship Conference, 12th April 2019.
  17. Dahl, S.G., Cantley, K., Learning Behavior of Memristor-Based Neuromorphic Circuits in the Presence of Radiation. Graduate Student Showcase, 10th April 2019.
  18. Hemmati, M., Rashtchi, R., Maleki, A., Toofan, S., A Configurable Memristor-based Finite Impulse Response Filter. arXiv:1904.05279, [eess.SP], 10th April 2019.
  19. Krestinskaya, O., James, A.P., Learning Algorithms and Implementation. Deep Learning Classifiers with Memristive Networks, pp.91-102, 9th April 2019.
  20. Adam, K., Smagulova, K., James, A.P., Memristive LSTM Architectures. Deep Learning Classifiers with Memristive Networks, pp.155-167, 9th April 2019.
  21. Krestinskaya, O., James, A.P., Memristive Deep Convolutional Neural Networks. Deep Learning Classifiers with Memristive Networks, pp.131-137, 9th April 2019.
  22. Krestinskaya, O., Dolzhikova, I., James, A.P., Memristive Hierarchical Temporal Memory. Deep Learning Classifiers with Memristive Networks, pp.181-194, 9th April 2019.
  23. James, A.P., Introduction to Neuro-Memristive Systems. Deep Learning Classifiers with Memristive Networks, pp.3-12, 9th April 2019.
  24. Dolzhikova, I., Maan, A.K., James, A.P., Memristive Threshold Logic Networks. Deep Learning Classifiers with Memristive Networks, pp.117-130, 9th April 2019.
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