Pattern classification by memristive crossbar circuits using ex situ and in situ training

Cited by (642)

Items 101–200 of 642

1. Light-enhanced molecular polarity enabling multispectral color-cognitive memristor for neuromorphic visual system
   Jongmin Lee, Bum Ho Jeong, Eswaran Kamaraj, Dohyung Kim, Hakjun Kim, Sanghyuk Park, Hui Joon Park · 2023 · Nature Communications
2. Hybrid memristor-CMOS neurons for in-situ learning in fully hardware memristive spiking neural networks
   Xumeng Zhang, Jian Lü, Zhongrui Wang, Rui Wang, Jinsong Wei, Tuo Shi, Chunmeng Dou, Zuheng Wu, Jiaxue Zhu, Dashan Shang et al. · 2021 · 中国科学通报：英文版
3. Computing Primitive of Fully VCSEL-Based All-Optical Spiking Neural Network for Supervised Learning and Pattern Classification
   Shuiying Xiang, Zhenxing Ren, Ziwei Song, Yahui Zhang, Xingxing Guo, Genquan Han, Yue Hao · 2020 · IEEE Transactions on Neural Networks and Learning Systems
4. An Electronic Synapse Based on 2D Ferroelectric CuInP 2 S 6
   Bochang Li, Sifan Li, Han Wang, Li Chen, Liang Liu, Xuewei Feng, Yesheng Li, Jingsheng Chen, X. Gong, Kah‐Wee Ang · 2020 · Advanced Electronic Materials
5. Efficient training algorithms for neural networks based on memristive crossbar circuits
   Irina Kataeva, Farnood Merrikh-Bayat, Elham Zamanidoost, Dmitri B. Strukov · 2015 · International Joint Conference on Neural Networks (IJCNN)
6. Extremely parallel memristor crossbar architecture for convolutional neural network implementation
   Chris Yakopcic, Md Zahangir Alom, Tarek M. Taha · 2017 · International Joint Conference on Neural Networks (IJCNN)
7. First steps towards the realization of a double layer perceptron based on organic memristive devices
   Andrey V. Emelyanov, Dmitry A. Lapkin, Vyacheslav A. Demin, Victor V Erokhin, Silvia Battistoni, G. Baldi, Alice Dimonte, А. Н. Коровин, Salvatore Iannotta, Pavel K. Kashkarov et al. · 2016 · AIP Advances
8. On-chip training of memristor crossbar based multi-layer neural networks
   Raqibul Hasan, Tarek M. Taha, Chris Yakopcic · 2017 · Microelectronics Journal
9. Bienenstock, Cooper, and Munro Learning Rules Realized in Second‐Order Memristors with Tunable Forgetting Rate
   Jue Xiong, Rui Yang, Jamal Shaibo, He‐Ming Huang, Hui‐Kai He, Wen Zhou, Xin Guo · 2019 · Advanced Functional Materials
10. Hardware elementary perceptron based on polyaniline memristive devices
    Vyacheslav A. Demin, Victor V Erokhin, Andrey V. Emelyanov, Silvia Battistoni, G. Baldi, Salvatore Iannotta, Pavel K. Kashkarov, Mikhail Valentinovich Kovalchuk · 2015 · Organic Electronics
11. Resistive switching and synaptic properties of fully atomic layer deposition grown TiN/HfO2/TiN devices
    Yu. Matveyev, Konstantin V. Egorov, Andrey M. Markeev, Andrei V. Zenkevich · 2015 · Journal of Applied Physics
12. Highly-scaled and fully-integrated 3-dimensional ferroelectric transistor array for hardware implementation of neural networks
    Ik‐Jyae Kim, Min‐Kyu Kim, Jang‐Sik Lee · 2023 · Nature Communications
13. Modeling affections with memristor-based associative memory neural networks
    Xiaofang Hu, Shukai Duan, Guanrong Chen, Ling Chen · 2016 · Neurocomputing
14. Memristor based neuromorphic circuit for ex-situ training of multi-layer neural network algorithms
    Chris Yakopcic, Raqibul Hasan, Tarek M. Taha · 2015 · International Joint Conference on Neural Networks (IJCNN)
15. Homogeneous Spiking Neuromorphic System for Real-World Pattern Recognition
    Wu Xin, Vishal Saxena, Kehan Zhu · 2015 · IEEE Journal on Emerging and Selected Topics in Circuits and Systems
16. MoS2 Synapses with Ultra-low Variability and Their Implementation in Boolean Logic
    Adithi Krishnaprasad, Durjoy Dev, Sang Sub Han, Yaqing Shen, Hee‐Suk Chung, Tae‐Sung Bae, Changhyeon Yoo, Yeonwoong Jung, Mario Lanza, Tania Roy · 2022 · ACS Nano
17. Memristive Devices and Networks for Brain‐Inspired Computing
    Teng Zhang, Yang Ke, Xiaoyan Xu, Yimao Cai, Yuchao Yang, Ru Huang · 2019 · physica status solidi (RRL) - Rapid Research Letters
18. Enabling back propagation training of memristor crossbar neuromorphic processors
    Raqibul Hasan, Tarek M. Taha · 2014 · International Joint Conference on Neural Networks (IJCNN)
19. Technology Aware Training in Memristive Neuromorphic Systems for Nonideal Synaptic Crossbars
    Indranil Chakraborty, Deboleena Roy, Kaushik Roy · 2018 · IEEE Transactions on Emerging Topics in Computational Intelligence
20. From Memristive Materials to Neural Networks
    Tao Guo, Bai Tao Sun, Shubham Ranjan, Yixuan Jiao, Lan Wei, Y. Zhou, Yimin A. Wu · 2020 · ACS Applied Materials & Interfaces
21. Echo state graph neural networks with analogue random resistive memory arrays
    Wang, Shaocong, Li, Yi, Wang, Dingchen, Zhang, Woyu, Chen, Xi, Dong, Danian, Wang, Songqi, Zhang, Xumeng, Lin, Peng, Gallicchio, Claudio et al. · 2023 · Nature Machine Intelligence
22. Evidence of soft bound behaviour in analogue memristive devices for neuromorphic computing
    Jacopo Frascaroli, Stefano Brivio, Erika Covi, Sabina Spiga · 2018 · Scientific Reports
23. Coupling Cortical Neurons through Electronic Memristive Synapse
    Elvira Juzekaeva, Azat Nasretdinov, Silvia Battistoni, Tatiana Berzina, Salvatore Iannotta, Roustem Khazipov, Victor V Erokhin, Marat R. Mukhtarov · 2018 · Advanced Materials Technologies
24. Redox-based memristive devices for new computing paradigm
    Regina Dittmann, John Paul Strachan · 2019 · APL Materials
25. Integration and Co-design of Memristive Devices and Algorithms for Artificial Intelligence
    Wei Juan Wang, Wenhao Song, Peng Yao, Yang Li, Joseph Van Nostrand, Qinru Qiu, Daniele Ielmini, J. Joshua Yang · 2020 · iScience
26. Spoken Digit Classification by In-Materio Reservoir Computing With Neuromorphic Atomic Switch Networks
    Sam Lilak, Walt Woods, Kelsey S. Scharnhorst, Christopher S. Dunham, Christof Teuscher, Adam Z. Stieg, James Kazimierz Gimzewski · 2021 · Frontiers in Nanotechnology
27. On non-von Neumann flexible neuromorphic vision sensors
    Hao Wang, Bin Sun, Shuzhi Sam Ge, Jie Su, Ming Jin · 2024 · npj Flexible Electronics
28. Pavlov's dog associative learning demonstrated on synaptic-like organic transistors
    Olivier Bichler, Weisheng S. Zhao, Fabien Alibart, S. Pleutin, S. Lenfant, Dominique Vuillaume, Christian Gamrat · 2013 · LillOA (Université de Lille (University Of Lille))
29. Associative Learning with Temporal Contiguity in a Memristive Circuit for Large‐Scale Neuromorphic Networks
    Yi Li, Lei Xu, Yingpeng Zhong, Yaxiong Zhou, Shujing Zhong, Yang‐Zhi Hu, Leon Ong Chua, Xiangshui Miao · 2015 · Advanced Electronic Materials
30. Review on Various Memristor Models, Characteristics, Potential Applications, and Future Works
    Muhammad Khalid · 2019 · Transactions on Electrical and Electronic Materials
31. Memristor crossbar architectures for implementing deep neural networks
    Xiaoyang Liu, Zhigang Zeng · 2021 · Complex & Intelligent Systems
32. Modulation of Synaptic Plasticity Mimicked in Al Nanoparticle‐Embedded IGZO Synaptic Transistor
    Jeehoon Kim, Younghun Kim, Ojun Kwon, Taehyeon Kim, Se‐Young Oh, Soeun Jin, Woojin Park, Jung‐Dae Kwon, Seungwoo Hong, Chang‐Sik Lee et al. · 2020 · Advanced Electronic Materials
33. MemTorch: An Open-source Simulation Framework for Memristive Deep Learning Systems
    Corey Lammie, Wei Xiang, B. Linares-Barranco, Mostafa Rahimi Azghadi · 2022 · Neurocomputing
34. Memristor-based neural networks with weight simultaneous perturbation training
    Chunhua Wang, Lin Xiong, Jingru Sun, Wei Yao · 2018 · Nonlinear Dynamics
35. Stable Self-Assembled Atomic-Switch Networks for Neuromorphic Applications
    Saurabh K. Bose, Joshua B. Mallinson, Rodrigo M. Gazoni, S. A. Brown · 2017 · IEEE Transactions on Electron Devices
36. Donor‐Induced Performance Tuning of Amorphous SrTiO3 Memristive Nanodevices: Multistate Resistive Switching and Mechanical Tunability
    Hussein Nili, Sumeet Walia, Ahmad Esmaielzadeh Kandjani, Rajesh Ramanathan, Philipp Gutruf, Taimur Ahmed, Sivacarendran Balendhran, Vipul Bansal, Dmitri B. Strukov, Omid Kavehei et al. · 2015 · Advanced Functional Materials
37. Silicon synaptic transistor for hardware-based spiking neural network and neuromorphic system
    Hyungjin Kim, Sungmin Hwang, Jungjin Park, Byung‐Gook Park · 2017 · Nanotechnology
38. Back‐End CMOS Compatible and Flexible Ferroelectric Memories for Neuromorphic Computing and Adaptive Sensing
    Sayani Majumdar · 2021 · Advanced Intelligent Systems
39. Understanding the Dual Nature of the Filament Dissolution in Conductive Bridging Devices
    Umberto Celano, Ludovic Goux, Attilio Belmonte, Karl Opsomer, R. Degraeve, Christophe Detavernier, Małgorzata Jurczak, Wilfried Vandervorst · 2015 · The Journal of Physical Chemistry Letters
40. Memristive Fully Convolutional Network: An Accurate Hardware Image-Segmentor in Deep Learning
    Shiping Wen, Huaqiang Wei, Zhigang Zeng, Tingwen Huang · 2018 · IEEE Transactions on Emerging Topics in Computational Intelligence
41. In-memory computing to break the memory wall*
    Xiaohe Huang, Chunsen Liu, Yu–Gang Jiang, Peng Zhou · 2020 · Chinese Physics B
42. Nanoscale memristor devices: materials, fabrication, and artificial intelligence
    Yongchao Yu, Ming Wei Xiao, David Fieser, Wei Zhou, Anming Hu · 2024 · Journal of Materials Chemistry C
43. Modeling and Experimental Demonstration of a Hopfield Network Analog-to-Digital Converter with Hybrid CMOS/Memristor Circuits
    Xinjie Guo, Farnood Merrikh-Bayat, Ligang Gao, Brian D. Hoskins, Fabien Alibart, B. Linares-Barranco, Luke S. Theogarajan, Christof Teuscher, Dmitri B. Strukov · 2015 · Frontiers in Neuroscience
44. A Hardware Architecture for Columnar-Organized Memory Based on CMOS Neuron and Memristor Crossbar Arrays
    Jafar Shamsi, Karim Mohammadi, Shahriar B. Shokouhi · 2018 · IEEE Transactions on Very Large Scale Integration (VLSI) Systems
45. A Learning‐Rate Modulable and Reliable TiO<i>_x</i> Memristor Array for Robust, Fast, and Accurate Neuromorphic Computing
    Jang, Jingon, Gi, Sanggyun, Yeo, Injune, Choi, Sanghyeon, Jang, Seonghoon, Ham, Seonggil, Lee, Byunggeun, Wang, Gunuk · 2022 · Advanced Science
46. A comprehensive review of advanced trends: from artificial synapses to neuromorphic systems with consideration of non-ideal effects
    Kyuree Kim, Min Suk Song, Hwiho Hwang, Sungmin Hwang, Hyungjin Kim · 2024 · Frontiers in Neuroscience
47. A memristive deep belief neural network based on silicon synapses
    Wang, Wei, Danial, Loai, Li, Yang, Herbelin, Eric, Pikhay, Evgeny, Roizin, Yakov, Hoffer, Barak, Wang, Zhongrui, Kvatinsky, Shahar · 2022 · Nature Electronics
48. Biological function simulation in neuromorphic devices: from synapse and neuron to behavior
    Hui Chen, Huilin Li, Ting Ma, Shuangshuang Han, Qiuping Zhao · 2023 · Science and Technology of Advanced Materials
49. Memristors for the Curious Outsiders
    Juan Pablo Carbajal, Francesco Caravelli · 2018 · Technologies
50. Quantitative, Dynamic TaO x Memristor/Resistive Random Access Memory Model
    Seung Hwan Lee, John Moon, YeonJoo Jeong, Jihang Lee, Xinyi Li, Huaqiang Wu, Wei Dong Lu · 2020 · ACS Applied Electronic Materials
51. Neuromimetic Circuits with Synaptic Devices Based on Strongly Correlated Electron Systems
    Sieu D. Ha, Jian Shi, Yasmine Meroz, L. Mahadevan, Shriram Ramanathan · 2014 · Physical Review Applied
52. Synaptic Transistor Based on In‐Ga‐Zn‐O Channel and Trap Layers with Highly Linear Conductance Modulation for Neuromorphic Computing
    Junhyeong Park, Yuseong Jang, Jin-Kyu Lee, Soobin An, Jinsung Mok, Soo‐Yeon Lee · 2023 · Advanced Electronic Materials
53. Effect of device structure on the resistive switching characteristics of organic polymers fabricated through all printed technology
    Muhammad Muqeet Rehman, Bong-Su Yang, Young Jin Yang, Khasan Sanginovich Karimov, Kyung Hyun Choi · 2017 · Current Applied Physics
54. Physical Realization of a Supervised Learning System Built with Organic Memristive Synapses
    Yu‐Pu Lin, Christopher H. Bennett, Théo Cabaret, Damir Vodenicarevic, Djaafar Chabi, Damien Querlioz, Bruno Jousselme, Vincent Derycke, Jacques‐Olivier Klein · 2016 · Scientific Reports
55. Memristor Crossbar Architecture for Synchronous Neural Networks
    Janusz A. Starzyk, Basawaraj Basawaraj · 2014 · IEEE Transactions on Circuits and Systems I Regular Papers
56. Phenomenological modeling of memristive devices
    Farnood Merrikh Bayat, Brian D. Hoskins, Dmitri B. Strukov · 2015 · Applied Physics A
57. Memristive computing devices and applications
    Mohammed Affan Zidan, An Chen, Giacomo Indiveri, Wei Dong Lu · 2017 · Journal of Electroceramics
58. Hardware‐Friendly Stochastic and Adaptive Learning in Memristor Convolutional Neural Networks
    Wei Zhang, Lunshuai Pan, Yan Xuelong, Guangchao Zhao, Hong Chen, Xingli Wang, Beng Kang Tay, Gaokuo Zhong, Jiangyu Li, Mingqiang Huang · 2021 · Advanced Intelligent Systems
59. Threshold Switching in Single Metal‐Oxide Nanobelt Devices Emulating an Artificial Nociceptor
    Ming Wei Xiao, Daozhi Shen, Moritz H. Futscher, Bruno Ehrler, Kevin P. Musselman, W. W. Duley, Y. Zhou · 2019 · Advanced Electronic Materials
60. Design of memristor-based image convolution calculation in convolutional neural network
    Xiaofen Zeng, Shiping Wen, Zhigang Zeng, Tingwen Huang · 2016 · Neural Computing and Applications
61. Compact Model of HfOX-Based Electronic Synaptic Devices for Neuromorphic Computing
    Peng Cheng Huang, Dongbin Zhu, Sijie Chen, Zheng Zhou, Zhe Chen, Bin Gao, Lifeng Liu, Xiaoyan Liu, Jinfeng Kang · 2017 · IEEE Transactions on Electron Devices
62. Dopamine-like STDP modulation in nanocomposite memristors
    Kristina E. Nikiruy, Andrey V. Emelyanov, Vyacheslav A. Demin, А. В. Ситников, Anton A Minnekhanov, Vladimir V. Rylkov, Pavel K. Kashkarov, Mikhail Valentinovich Kovalchuk · 2019 · AIP Advances
63. Unsupervised Hebbian learning experimentally realized with analogue memristive crossbar arrays
    Mirko Hansen, Finn Zahari, H. Kohlstedt, Martin Ziegler · 2018 · Scientific Reports
64. PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference
    Aayush Ankit, Izzat El Hajj, Sai Rahul Chalamalasetti, Geoffrey Ndu, Martin Foltín, Richard Stanley Williams, Paolo Faraboschi, Wen‐mei Hwu, John Paul Strachan, Kaushik Roy et al. · 2019 · arXiv (Cornell University)
65. Memristor variability and stochastic physical properties modeling from a multivariate time series approach
    Francisco Alonso, David Maldonado, Ana M. Aguilera, J.B. Roldán · 2020 · Chaos Solitons & Fractals
66. Recent advances in neuromorphic transistors for artificial perception applications
    Wei Sheng Wang, Li Qiang Zhu · 2022 · Science and Technology of Advanced Materials
67. Memristive Mixed-Signal Neuromorphic Systems: Energy-Efficient Learning at the Circuit-Level
    Gangotree Chakma, Md Musabbir Adnan, Austin Wyer, Ryan Weiss, Catherine D. Schuman, Garrett S. Rose · 2017 · IEEE Journal on Emerging and Selected Topics in Circuits and Systems
68. Handwritten-Digit Recognition by Hybrid Convolutional Neural Network based on HfO2 Memristive Spiking-Neuron
    Junjie Wang, Shaogang Hu, Xinru Zhan, Qi Yu, Zhen Liu, T. P. Chen, You Yin, Sumio Hosaka, Yang Liu · 2018 · Scientific Reports
69. Memristor-based LSTM network with in situ training and its applications
    Xiaoyang Liu, Zhigang Zeng, Donald C. Wunsch · 2020 · Neural Networks
70. Memristive devices for computing: Beyond CMOS and beyond von Neumann
    Hoang Anh Du Nguyen, Jintao Yu, Lei Xie, Mottaqiallah Taouil, Said Hamdioui, Dietmar Fey · 2017 · IFIP/IEEE International Conference on Very Large Scale Integration
71. Multilayer RTD-memristor-based cellular neural networks for color image processing
    Xiaofang Hu, Gang Feng, Shukai Duan, Lu Liu · 2015 · Neurocomputing
72. Modeling and implementation of firing-rate neuromorphic-network classifiers with bilayer Pt/Al2O3/TiO2−x/Pt Memristors
    M. Prezioso, Irina Kataeva, Farshad Merrikh‐Bayat, Brian D. Hoskins, Gina C. Adam, T. Sota, Konstantin K. Likharev, Dmitri B. Strukov · 2015 · Technical digest - International Electron Devices Meeting/Technical digest
73. System-Level Simulation of Hardware Spiking Neural Network Based on Synaptic Transistors and I&F Neuron Circuits
    Sungmin Hwang, Hyungjin Kim, Jungjin Park, Min-Woo Kwon, Myung-Hyun Baek, Jeong-Jun Lee, Byung‐Gook Park · 2018 · IEEE Electron Device Letters
74. Neuromorphic Computing Using Memristor Crossbar Networks: A Focus on Bio-Inspired Approaches
    YeonJoo Jeong, Wei Dong Lu · 2018 · IEEE Nanotechnology Magazine
75. Optically modulated electric synapses realized with memristors based on ZnO nanorods
    Wen Zhou, Rui Yang, Hui‐Kai He, He-Ming Huang, Jue Xiong, Xin Guo · 2018 · Applied Physics Letters
76. Functional Oxides for Photoneuromorphic Engineering: Toward a Solar Brain
    Amador Pérez‐Tomás · 2019 · Advanced Materials Interfaces
77. Recent Progress in Neuromorphic Computing from Memristive Devices to Neuromorphic Chips
    Yike Xiao, Cheng Gao, Jun‐Cheng Jin, Weiling Sun, Bowen Wang, Yukun Bao, Chen Liu, Wei Huang, Hui Zeng, Yefeng Yu · 2024 · Advanced Devices & Instrumentation
78. Low-power emerging memristive designs towards secure hardware systems for applications in internet of things
    Nan Du, Heidemarie Schmidt, Ilia Polian · 2021 · Nano Materials Science
79. Spectral properties of the dynamic state transition in metal halide perovskite-based memristor exhibiting negative capacitance
    Cedric Gonzales, Antonio Guerrero, Juan Bisquert · 2021 · Applied Physics Letters
80. Artificial optoelectronic synapse based on spatiotemporal irradiation to source‐sharing circuitry of synaptic phototransistors
    Seungho Song, Changsoon Choi, Jongtae Ahn, Je‐Jun Lee, Jisu Jang, Byoung‐Soo Yu, Jung Pyo Hong, Yong‐Sang Ryu, Yong‐Hoon Kim, Do Kyung Hwang · 2023 · InfoMat
81. Ultrahigh Density Memristor Neural Crossbar for On-Chip Supervised Learning
    Djaafar Chabi, Zhaohao Wang, Christopher H. Bennett, Jacques‐Olivier Klein, Weisheng S. Zhao · 2015 · IEEE Transactions on Nanotechnology
82. Manhattan rule training for memristive crossbar circuit pattern classifiers
    Elham Zamanidoost, Farnood Merrikh Bayat, Dmitri B. Strukov, Irina Kataeva · 2015 · IEEE International Symposium on Intelligent Signal Processing,
83. Neuromorphic computing with memristive devices
    Wen Ma, Mohammed Affan Zidan, Wei Dong Lu · 2018 · Science China Information Sciences
84. A Precise Algorithm of Memristor Switching to a State with Preset Resistance
    Kristina E. Nikiruy, Andrey V. Emelyanov, Vyacheslav A. Demin, Vladimir V. Rylkov, А. В. Ситников, Pavel K. Kashkarov · 2018 · Technical Physics Letters
85. An approximate backpropagation learning rule for memristor based neural networks using synaptic plasticity
    Negrov, D., Karandashev, I., Shakirov, V., Matveyev, Yu., Dunin-Barkowski, W., Zenkevich, A. · 2017 · Neurocomputing
86. Memristor‐based neuron circuit and method for applying learning algorithm in SPICE
    Chris Yakopcic, Raqibul Hasan, T.M. Taha, M. McLean, D. Palmer · 2014 · Electronics Letters
87. On-chip training of memristor based deep neural networks
    Raqibul Hasan, Tarek M. Taha, Chris Yakopcic · 2017 · International Joint Conference on Neural Networks (IJCNN)
88. Convolutional Neural Networks Based on RRAM Devices for Image Recognition and Online Learning Tasks
    Zhen Dong, Zheng Zhou, Zefan Li, Chen Liu, Peng Cheng Huang, Lifeng Liu, Xiaoyan Liu, Jinfeng Kang · 2018 · IEEE Transactions on Electron Devices
89. Redesigning commercial floating-gate memory for analog computing applications
    Farnood Merrikh Bayat, X. Guo, H.A. Om'mani, N. Do, K. K. Likharev, Dmitri B. Strukov · 2015 · IEEE International Symposium on Circuits and Systems proceedings
90. Oxide based nanoscale analog synapse device for neural signal recognition system
    Daeseok Lee, Jaesung Park, Kibong Moon, Junwoo Jang, Sangsu Park, Myonglae Chu, Jong‐In Kim, Jinwoo Noh, Moongu Jeon, Byoung Hun Lee et al. · 2015 · Technical digest - International Electron Devices Meeting/Technical digest
91. Mimicking the brain functions of learning, forgetting and explicit/implicit memories with SrTiO 3 -based memristive devices
    Xue‐Bing Yin, Rui Yang, Kan‐Hao Xue, Zheng‐Hua Tan, Xiaodong Zhang, Xiangshui Miao, Xin Guo · 2016 · Physical Chemistry Chemical Physics
92. MemTorch: A Simulation Framework for Deep Memristive Cross-Bar Architectures
    Corey Lammie, Mostafa Rahimi Azghadi · 2020 · IEEE International Symposium on Circuits and Systems proceedings
93. Spiking neural networks based on two-dimensional materials
    J.B. Roldán, David Maldonado, Cristina Aguilera-Pedregosa, Enrique Moreno, Fernando Leonel Aguirre, Rocío Romero‐Zaliz, Ángel Miguel García-Vico, Yaqing Shen, Mario Lanza · 2022 · npj 2D Materials and Applications
94. Integrated Memristor Network for Physiological Signal Processing
    Lei Cai, Lianfeng Yu, Wenshuo Yue, Yihang Zhu, Zhiyu Yang, Yuqi Li, Yaoyu Tao, Yuchao Yang · 2023 · Advanced Electronic Materials
95. Multilayer Memristive Neural Network Circuit Based on Online Learning for License Plate Detection
    Renao Yan, Qinghui Hong, Chunhua Wang, Jingru Sun, Ya Li · 2021 · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
96. GST-memristor-based online learning neural networks
    Xiao, Shuixin, Xie, Xudong, Wen, Shiping, Zeng, Zhigang, Huang, Tingwen, Jiang, Jianhua · 2018 · Neurocomputing
97. Neuromorphic Circuit Implementation of Operant Conditioning Based on Emotion Generation and Modulation
    Yutong Zhang, Zhigang Zeng · 2023 · IEEE Transactions on Circuits and Systems I Regular Papers
98. Ternary Synaptic Plasticity Arising from Memdiode Behavior of TiOx Single Nanowires
    De Shun Hong, Yuan Sha Chen, Ji Rong Sun, Bao Gen Shen · 2016 · Advanced Electronic Materials
99. Complex Learning in Bio-plausible Memristive Networks
    Lei Deng, Guoqi Li, Ning Deng, Dong Wang, Ziyang Zhang, Wei He, Huanglong Li, Jing Pei, Luping Shi · 2015 · Scientific Reports
100. Electrically-generated memristor based on inkjet printed silver nanoparticles
     Kyung Jean Yoon, Jin‐Woo Han, Dong‐Il Moon, Myeong‐Lok Seol, Meyya Meyyappan, Han‐Joon Kim, Cheol Seong Hwang · 2019 · Nanoscale Advances