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Research on the construction method of neural network model based on memristors

   | 09 sept. 2023
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Rr A, Ljw B, Rmta C, et al. (2020). Warped rhythms: Epileptic activity during critical periods disrupts the development of neural networks for human communication. Behavioural Brain Research, 399. Search in Google Scholar

Jing, S., Jxa, B., Yyab, C., et al. (2019). Concept learning through deep reinforcement learning with memory-augmented neural networks. Neural Networks, 110, 47-54. Search in Google Scholar

Khadka, S., Chung, J. J., & Tumer, K. (2019). Neuroevolution of a Modular Memory-Augmented Neural Network for Deep Memory Problems. Evolutionary Computation, 27(4), 639-664. Search in Google Scholar

Li, J., Liu, L., Zhao, C., et al. (2018). Enabling Sustainable Cyber Physical Security Systems through Neuromorphic Computing. IEEE Transactions on Sustainable Computing, 1-1. Search in Google Scholar

Zhao, M., Wang, S., Li, D., et al. (2022). Silk Protein Based Volatile Threshold Switching Memristors for Neuromorphic Computing. Advanced Electronic Materials, 8. Search in Google Scholar

Li, Y. (2021). Simulation of memristive synapses and neuromorphic computing on a quantum computer. Physical Review Research, 3(2). Search in Google Scholar

Wu, L., Bao, L., Wang, Z., et al. (2021). Emulation of Synaptic Scaling Based on MoS2 Neuristor for Self-adaptive Neuromorphic Computing. Advanced Electronic Materials, 2001104. Search in Google Scholar

Jiang, S., Fan, J., Liu, Y., Wang, Y., & Xu, F. (2020). Spiking neural p systems with polarizations and rules on synapses. Complexity, 2020(1), 1-12. Search in Google Scholar

Tu, Z., Cao, J., Alsaedi, A., et al. (2017). Global dissipativity of memristor-based neutral type inertial neural networks. Neural Networks, 88, 125-133. Search in Google Scholar

Naous, R., Al-Shedivat, M., & Salama, K. (2016). Stochasticity Modeling in Memristors. IEEE Transactions on Nanotechnology, 15(1), 15-28. Search in Google Scholar

Jeong, D. S., Kim, K. M., Kim, S., et al. (2016). Memristors for Energy-Efficient New Computing Paradigms. Advanced Electronic Materials, 1600090. Search in Google Scholar

Bao, B., Hui, Q., Xu, Q., et al. (2017). Coexisting Behaviors of Asymmetric Attractors in Hyperbolic-Type Memristor based Hopfield Neural Network. Frontiers in Computational Neuroscience, 11, 81. Search in Google Scholar

Dongale, T. D., Patil, K. P., Vanjare, S. R., et al. (2015). Modelling of Nanostructured Memristor Device Characteristics Using Artificial Neural Network (ANN). Journal of Computational Science, 11(NOV.), 82-90. Search in Google Scholar

Tarkov, M. S. (2015). Mapping weight matrix of a neural network’s layer onto memristor crossbar. Optical Memory and Neural Networks, 24(2), 109-115. Search in Google Scholar

Xie, X., Wen, S., Zeng, Z., et al. (2018). Memristor-based circuit implementation of pulse-coupled neural network with dynamical threshold generators. Neurocomputing, 284(APR.5), 10-16. Search in Google Scholar

Liu, W., Jiang, M., & Meng, Y. (2018). Stability analysis of memristor-based time-delay fractional-order neural networks. Neurocomputing, 323. Search in Google Scholar

Bocheng, B., Hui, Q., Quan, X., et al. (2017). Coexisting Behaviors of Asymmetric Attractors in Hyperbolic-Type Memristor based Hopfield Neural Network. Frontiers in Computational Neuroscience, 11, 81. Search in Google Scholar

Sun, S. Y., Li, Z., Li, J., et al. (2019). A memristor-based convolutional neural network with full parallelization architecture. IEICE Electronics Express. Search in Google Scholar

Xia, L., Li, B., Tang, T., et al. (2017). MNSIM: Simulation Platform for Memristor-Based Neuromorphic Computing System. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. Search in Google Scholar

Yang, Z., Yi, L., Wang, X., et al. (2017). Synaptic Characteristics of Ag/AgInSbTe/Ta-Based Memristor for Pattern Recognition Applications. IEEE Transactions on Electron Devices, PP(4), 1-6. Search in Google Scholar

eISSN:
2444-8656
Langue:
Anglais
Périodicité:
Volume Open
Sujets de la revue:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics