A Memristor Neural Network Using Synaptic Plasticity and Its Associative Memory
暂无分享,去创建一个
Yabo Wang | Guangyi Wang | Herbert Ho-Ching Iu | Yiran Shen | H. Iu | Guangyi Wang | Yiran Shen | Yabo Wang
[1] M. Alexander,et al. Principles of Neural Science , 1981 .
[2] Hyongsuk Kim,et al. Memristive Imitation of Synaptic Transmission and Plasticity , 2019, IEEE Transactions on Neural Networks and Learning Systems.
[3] Tadashi Shibata,et al. A neuron-MOS neural network using self-learning-compatible synapse circuits , 1995, IEEE J. Solid State Circuits.
[4] D. B. Strukov,et al. Programmable CMOS/Memristor Threshold Logic , 2013, IEEE Transactions on Nanotechnology.
[5] Richard A. Chapman,et al. Neural Learning Circuits Utilizing Nano-Crystalline Silicon Transistors and Memristors , 2012, IEEE Transactions on Neural Networks and Learning Systems.
[6] Eby G. Friedman,et al. Memristor-Based Circuit Design for Multilayer Neural Networks , 2018, IEEE Transactions on Circuits and Systems I: Regular Papers.
[7] Evangelos Eleftheriou,et al. The Role of Short-Term Plasticity in Neuromorphic Learning: Learning from the Timing of Rate-Varying Events with Fatiguing Spike-Timing-Dependent Plasticity , 2018, IEEE Nanotechnology Magazine.
[8] Kinam Kim,et al. A fast, high-endurance and scalable non-volatile memory device made from asymmetric Ta2O(5-x)/TaO(2-x) bilayer structures. , 2011, Nature materials.
[9] Timothée Masquelier,et al. Deep Learning in Spiking Neural Networks , 2018, Neural Networks.
[10] Wei Lu,et al. Short-term Memory to Long-term Memory Transition in a Nanoscale Memristor , 2022 .
[11] Wang Guangyi,et al. Dynamical Behaviors of a TiO2 Memristor Oscillator , 2013 .
[12] Guangyi Wang,et al. Extreme multistability in a memristor-based multi-scroll hyper-chaotic system. , 2016, Chaos.
[13] X. Miao,et al. Activity-Dependent Synaptic Plasticity of a Chalcogenide Electronic Synapse for Neuromorphic Systems , 2014, Scientific Reports.
[14] L. Chua. Memristor-The missing circuit element , 1971 .
[15] Xin Wang,et al. Associate learning and correcting in a memristive neural network , 2013, Neural Computing and Applications.
[16] Sumio Hosaka,et al. Associative memory realized by a reconfigurable memristive Hopfield neural network , 2015, Nature Communications.
[17] D. Stewart,et al. The missing memristor found , 2008, Nature.
[18] Pinaki Mazumder,et al. Learning in Memristor Crossbar-Based Spiking Neural Networks Through Modulation of Weight-Dependent Spike-Timing-Dependent Plasticity , 2018, IEEE Transactions on Nanotechnology.
[19] Zhigang Zeng,et al. Implementation of Memristive Neural Network With Full-Function Pavlov Associative Memory , 2016, IEEE Transactions on Circuits and Systems I: Regular Papers.
[20] M. Ziegler,et al. An Electronic Version of Pavlov's Dog , 2012 .
[21] Leon O. Chua,et al. Brains Are Made of Memristors , 2014, IEEE Circuits and Systems Magazine.
[22] Massimiliano Di Ventra,et al. Experimental demonstration of associative memory with memristive neural networks , 2009, Neural Networks.
[23] Garrett S. Rose,et al. A bi-memristor synapse with spike-timing-dependent plasticity for on-chip learning in memristive neuromorphic systems , 2018, 2018 19th International Symposium on Quality Electronic Design (ISQED).
[24] Guangyi Wang,et al. A Memristive Neural Network Model With Associative Memory for Modeling Affections , 2018, IEEE Access.
[25] Leon O. Chua,et al. Everything You Wish to Know About Memristors But Are Afraid to Ask , 2015 .
[26] Jacques-Olivier Klein,et al. Supervised learning with organic memristor devices and prospects for neural crossbar arrays , 2015, Proceedings of the 2015 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH´15).
[27] René Schüffny,et al. VLSI implementation of a conductance-based multi-synapse using switched-capacitor circuits , 2014, 2014 IEEE International Symposium on Circuits and Systems (ISCAS).
[28] A. F. Adzmi,et al. Memristor Spice model for designing analog circuit , 2012, 2012 IEEE Student Conference on Research and Development (SCOReD).
[29] Valeri Mladenov,et al. A Memristor Model with a Modified Window Function and Activation Thresholds , 2018, 2018 IEEE International Symposium on Circuits and Systems (ISCAS).
[30] Fabien Alibart,et al. Pavlov's Dog Associative Learning Demonstrated on Synaptic-Like Organic Transistors , 2013, Neural Computation.
[31] Fatima Tuz Zohora,et al. Memristor-CMOS Hybrid Implementation of Leaky Integrate and Fire Neuron Model , 2019, 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE).
[32] Zhigang Zeng,et al. Implementation of memristive neural networks with spike-rate-dependent plasticity synapses , 2014, 2014 International Joint Conference on Neural Networks (IJCNN).
[33] P. I. Fierens,et al. Mimicking Spike-Timing-Dependent Plasticity with Emulated Memristors , 2019, 2019 Argentine Conference on Electronics (CAE).
[34] Ennio Mingolla,et al. From Synapses to Circuitry: Using Memristive Memory to Explore the Electronic Brain , 2011, Computer.
[35] S. M. Rezaul Hasan,et al. A VLSI Circuit Emulation of Chemical Synaptic Transmission Dynamics and Postsynaptic DNA Transcription , 2016, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.
[36] Sijian Yuan,et al. A Flexible Artificial Synapse for Neuromorphic System , 2018, 2018 IEEE International Conference on Electron Devices and Solid State Circuits (EDSSC).
[37] Amit Saha,et al. Memristors act as synapses in neuromorphic architectures , 2016, 2016 International Conference on Communication and Electronics Systems (ICCES).
[38] C. Gamrat,et al. An Organic Nanoparticle Transistor Behaving as a Biological Spiking Synapse , 2009, 0907.2540.
[39] Stephen J. Wolf,et al. The elusive memristor: properties of basic electrical circuits , 2008, 0807.3994.
[40] Le Yang,et al. An Associative-Memory-Based Reconfigurable Memristive Neuromorphic System With Synchronous Weight Training , 2020, IEEE Transactions on Cognitive and Developmental Systems.
[41] Xiaoping Wang,et al. A Novel Design for Memristor-Based Logic Switch and Crossbar Circuits , 2015, IEEE Transactions on Circuits and Systems I: Regular Papers.
[42] Zhigang Zeng,et al. Adjusting Learning Rate of Memristor-Based Multilayer Neural Networks via Fuzzy Method , 2019, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.