Time of the last modification database: 2020-10-27 15:44:51

[

**1**] [2] [3] [4] [5] [6] [7] [8] [9] [10] ... [221] >>- Yao, X., Liu, X., Zhong, S., Exponential stability and synchronization of Memristor-based fractional-order fuzzy cellular neural networks with multiple delays.
*Neurocomputing*, vol.419, pp.239-250, 2nd January 2021. - Yang, Y., Wang, L., Duan, S., Luo, L., Dynamical analysis and image encryption application of a novel memristive hyperchaotic system.
*Optics & Laser Technology*, vol.133, pp.1-15, January 2021. - Du, F., Lu, J.-G., New criterion for finite-time synchronization of fractional order memristor-based neural networks with time delay.
*Applied Mathematics and Computation*, vol.389, pp.1-16, January 2021. - Zhang, B., Uysal, N., Fan, D., Ewetz, R., Redundant Neurons and Shared Redundant Synapses for Robust Memristor-based DNNs with Reduced Overhead.
*GLSVLSI '20: Proceedings of the 2020 on Great Lakes Symposium on VLSI*, pp.339-344, 7th December 2020. - Rajchakit, G., Chanthorn, P., Chanthorn, M., Raja, R., Baleanu, D., Pratap, A., Impulsive effects on stability and passivity analysis of memristor-based fractional-order competitive neural networks.
*Neurocomputing*, vol.417, pp.290-301, 5th December 2020. - Ryu, J.-H., Hussain, F., Mahata, C., Ismail, M., Abbas, Y., Kim, M.-H., Choi, C., Park, B.-G., Kim, S., Filamentary and interface switching of CMOS-compatible Ta2O5 memristor for non-volatile memory and synaptic devices.
*Applied Surface Science*, vol.529, pp.1-7, 1st November 2020. - Ryu, J.-H., Kim, S., Artificial synaptic characteristics of TiO2/HfO2 memristor with self-rectifying switching for brain-inspired computing.
*Chaos, Solitons & Fractals*, vol.140, pp.1-8, November 2020. - Liu, X., Zeng, Z., Wunsch, D.C., Memristor-based LSTM network with in situ training and its applications.
*Neural Networks*, vol.131, pp.300-311, November 2020. - Konal, M., Kaçar, F., Electronically Tunable Meminductor Based on OTA.
*AEU - International Journal of Electronics and Communications*, vol.126, pp.1-9, November 2020. - Jia, J., Zeng, Z., LMI-based criterion for global Mittag-Leffler lag quasi-synchronization of fractional-order memristor-based neural networks via linear feedback pinning control.
*Neurocomputing*, vol.412, pp.226-243, 28th October 2020. - Jahanshahi, H., Yousefpour, A., Munoz-Pacheco, J.M., Kacar, S., Pham, V.-T., Alsaadi, F.E., A new fractional-order hyperchaotic memristor oscillator: Dynamic analysis, robust adaptive synchronization, and its application to voice encryption.
*Applied Mathematics and Computation*, vol.383, pp.1-15, 15th October 2020. - Zheng, C.-D., Zhang, L., On synchronization of competitive memristor-based neural networks by nonlinear control.
*Neurocomputing*, vol.410, pp.151-160, 14th October 2020. - Ren, H., Peng, Z., Gu, Y., Fixed-time synchronization of stochastic memristor-based neural networks with adaptive control.
*Neural Networks*, vol.130, pp.165-175, October 2020. - Haron, M.A., Halim, A.K., Osman, F.N., Razak, A.H.A., Idros, M.F.M., Zain, W.M.I.W., Al Junid, S.A.M., Simulation study of memristor aided logic (magic) based on CMOS NOR gate.
*Bulletin of Electrical Engineering and Informatics*, vol.9, no.5, pp.2134-2140, October 2020. - Dragoman, M., Dinescu, A., Dragoman, D., Palade, C., Moldovan, A., Dinescu, M., Teodorescu, V.S., Ciurea, M.L., Wafer-scale graphene-ferroelectric hfo2/ge-hfo2/hfo2 transistors acting as three-terminal memristors.
*Nanotechnology*, vol.31, no.49, pp.1-10, 22nd September 2020. - Getachew, M.N., Priyadarshini, R., Mehra, R.M., Memristive biophysical neuron models forming an excitatory–inhibitory neural network for modeling PING rhythm generation.
*Journal of Computational Electronics*, pp.1-28, 11th September 2020. - Zhao, G., Ke, X., Li, X., Wang, L., Yin, N., Jin, X., Chen, J., Xu, Y., Wang, K., Yu, X., Yu, Z., Memristor based on a layered FePS3 2D material with dual modes of resistive switching.
*Applied Physics Express*, vol.13, no.10, pp.1-6, 11th September 2020. - Li, X., Ge, Y., Liu, H., Li, H., Fang, J.-a., New Results on Synchronization of Fractional-Order Memristor‐Based Neural Networks via State Feedback Control.
*Complexity*, vol.2020, no.2470972, pp.1-11, 9th September 2020. - Zhu, Z., Sun, H., Qiu, K., Xia, L., Krishnan, G., Dai, G., Niu, D., Chen, X., Hu, X.S., Cao, Y., Xie, Y., Wang, Y., Yang, H., MNSIM 2.0: A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems.
*Proceedings of the 2020 on Great Lakes Symposium on VLSI*, pp.83-88, 8th September 2020. - Ascoli, A., Messaris, I., Tetzlaff, R., Kang, S., Chua, L.O., Image Mem-Processing Bio-Inspired Cellular Arrays with Bistable and Analogue Dynamic Memristors.
*9th International Conference on Modern Circuits and Systems Technologies (MOCAST)*, pp.1-6, 7th September 2020. - Mladenov, V., A Modified Tantalum Oxide Memristor Model for Neural Networks with Memristor-Based Synapses.
*9th International Conference on Modern Circuits and Systems Technologies (MOCAST)*, pp.1-4, 7th September 2020. - Chiu, C.-F., Ginnaram, S., Senapati, A., Chen, Y.-P., Maikap, S., Switching Characteristics and Mechanism Using Al2O3 Interfacial Layer in Al/Cu/GdOx/Al2O3/TiN Memristor.
*Electronics*, vol.9, no.9, pp.1-17, 7th September 2020. - Roy, S., Ghosh, S.P., Pradhan, D., Sahu, P.K., Kar, J.P., Investigation of morphological and electrical properties of RTA-processed TiO 2 for memristor application.
*Journal of Sol-Gel Science and Technology*, pp.1-16, 3rd September 2020. - Alharbi, A.G., Chowdhury, M.H., Generic and Practical Emulators for the Voltage-Controlled Memristor Models.
*Memristor Emulator Circuits*, pp.55-73, 2nd September 2020. - Alharbi, A.G., Chowdhury, M.H., Generic and Practical Emulators for the Current-Controlled Memristor Models.
*Memristor Emulator Circuits*, pp.19-35, 2nd September 2020.

**1**] [2] [3] [4] [5] [6] [7] [8] [9] [10] ... [221] >>
FEEDBACK