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

Alibart, Fabien, Zamanidoost, Elham, Strukov, Dmitri B.·2013·Nature Communications
DOI 10.1038/ncomms3072

Cited by (642)

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  1. Fabrication of GaO x based crossbar array memristive devices and their resistive switching properties
    Mamoru Joko, Yusuke Hayashi, Tetsuya Tohei, Akira Sakai · 2020 · Japanese Journal of Applied Physics
  2. Effect of Electrode Nanopatterning on the Functional Properties of Ta/TaOx/Pt Resistive Memory Devices
    Maksim Yu. Zhuk, Nikita A. Sizykh, Dmitry S. Kuzmichev, Anastasia A. Chouprik, Sergei Zarubin, Evgeny S. Gornev, Andrei V. Zenkevich · 2022 · ACS Applied Nano Materials
  3. Performance Analysis of Convolutional Neural Network Using Multi-level Memristor Crossbar for Edge Computing
    Tiancheng Cao, Wang Ling Goh, Yuan Gao · 2020 · Intelligent Autonomous Systems
  4. Solution-Processed Memristor Devices Using a Colloidal Quantum Dot-Polymer Composite
    Min‐Ho Kim, Seongkeun Oh, Seungho Song, Jiwan Kim, Yong‐Hoon Kim · 2021 · Applied Sciences
  5. Electrolyte‐Gated Transistor Array (20 × 20) with Low‐Programming Interference Based on Coplanar Gate Structure for Unsupervised Learning
    Wenkui Zhang, Jun Li, Mengjiao Li, Yi Li, Hong Lian, Wenqing Gao, Benxiao Sun, Fei Wang, Lian Cheng, Hanqi Yu et al. · 2024 · Small Science
  6. Interface engineering for enhanced memristive devices and neuromorphic computing applications
    Ming Wei Xiao, Daozhi Shen, Jijie Huang · 2025 · International Materials Reviews
  7. Pseudo-transistors for emerging neuromorphic electronics
    Jingwei Fu, Jie Wang, Xiang He, Jianyu Ming, Le Wang, Yiru Wang, He Shao, Chaoyue Zheng, Linghai Xie, Haifeng Ling · 2023 · Science and Technology of Advanced Materials
  8. Analysis and Design of Memristor Crossbar Based Neuromorphic Intrusion Detection Hardware
    Chris Yakopcic, M. Tarek Taha · 2018 · International Joint Conference on Neural Networks (IJCNN)
  9. Synaptic behaviors of electromigrated Au nanogaps
    Keita Sakai, Tomomi Satō, Soki Tani, Mitsuki Ito, Mamiko Yagi, Jun‐ichi Shirakashi · 2019 · AIP Advances
  10. An artificial optoelectronic synapse based on an InAs nanowire phototransistor with negative photoresponse
    Chaofei Zha, Xin Yan, Xueguang Yuan, Yangan Zhang, Xia Zhang · 2021 · Optical and Quantum Electronics
  11. Mathematical Model of Metal–Oxide Memristor Resistive Switching based on Full Physical Model of Heat and Mass Transfer of Oxygen Vacancies and Ions
    Alexander N. Busygin, S. Yu. Udovichenko, Abdulla Ebrahim, Andrey N. Bobylev, Alexey A. Gubin · 2022 · physica status solidi (a)
  12. 3D simulation of conductive nanofilaments in multilayer h-BN memristors via a circuit breaker approach
    David Maldonado, Antonio Cantudo, Francisco M. Gómez‐Campos, Yue Jin Yuan, Yaqing Shen, Wenwen Zheng, Mario Lanza, J.B. Roldán · 2023 · Materials Horizons
  13. Back-Propagation Operation for Analog Neural Network Hardware with Synapse Components Having Hysteresis Characteristics
    Michihito Ueda, Yu Nishitani, Yukihiro Kaneko, Atsushi Omote · 2014 · PLoS ONE
  14. Hierarchical Chunking of Sequential Memory on Neuromorphic Architecture with Reduced Synaptic Plasticity
    Guoqi Li, Lei Deng, Dong Wang, Wei Wang, Fei Zeng, Ziyang Zhang, Huanglong Li, Sen Song, Jing Pei, Luping Shi · 2016 · Frontiers in Computational Neuroscience
  15. A Marr's Three‐Level Analytical Framework for Neuromorphic Electronic Systems
    Yunpeng Guo, Xiaolong Zou, Yifan Hu, Yifei Yang, Xinxin Wang, Yuhan He, Ruikai Kong, Yuzheng Guo, Guoqi Li, Wei Zhang et al. · 2021 · Advanced Intelligent Systems
  16. Memristor based In-Memory Computing for Edge AI Applications
    Pooja K. Joshi, Hafizur Rahaman · 2023 · International Symposium on Devices, Circuits and Systems (ISDCS)
  17. Liquid ferrofluid synapses for spike-based neuromorphic learning
    Charanraj Mohan, Marco Crepaldi, Diego Torazza, Andrew Adamatzky, Gisya Abdi, Aleksandra Szkudlarek, Alessandro Chiolerio · 2025 · Materials Horizons
  18. Memristive linear algebra
    J. Lin, Frank P. Barrows, Francesco Caravelli · 2025 · Physical Review Research
  19. Today’s computing challenges: opportunities for computer hardware design
    Woorham Bae · 2021 · PeerJ Computer Science
  20. Bring memristive in-memory computing into general-purpose machine learning: A perspective
    Houji Zhou, Jia Chen, Jiancong Li, Ling Yang, Yi Li, Xiangshui Miao · 2023 · APL Machine Learning
  21. A thorough investigation of the switching dynamics of TiN/Ti/10 nm-HfO2/W resistive memories
    David Maldonado, Guillermo Vinuesa, Samuel Aldana, Fernando Leonel Aguirre, Antonio Cantudo, H. García, Mireia Bargalló González, F. Jiménez-Molinos, F. Campabadal, Enrique A. Miranda et al. · 2023 · Materials Science in Semiconductor Processing
  22. Non von Neumann computing concepts
    Ghazi Sarwat Syed, Manuel Le Gallo, Abu Sebastian · 2024 · Elsevier eBooks
  23. A ZTO-based memristor with tunable synaptic plasticity
    Jianbiao Chen, Shuangju Jia, Liye Gao, Jiangwen Xu, Chunyan Yang, Tongtong Guo, Pu Zhang, Jiangtao Chen, Jian Wang, Yun Zhao et al. · 2024 · Colloids and Surfaces A Physicochemical and Engineering Aspects
  24. Artificial synapses using ferroelectric memristors embedded with CMOS Circuit for image recognition
    Yu Nishitani, Yukihiro Kaneko, Motoki Ueda · 2014 · Conference digest
  25. Ex-situ programming in a neuromorphic memristor based crossbar circuit
    Chris Yakopcic, Tarek M. Taha · 2015 · IEEE National Aerospace and Electronics Conference (NAECON)
  26. Memristor design rules for dynamic learning and edge processing applications
    Ángel Yanguas-Gil · 2019 · APL Materials
  27. Electrical conduction mechanisms of metal / high- T c superconductor (YBCO) interfaces
    L F Lanosa, H Huhtinen, P Paturi, C Acha · 2020 · Journal of Physics Condensed Matter
  28. Device-aware Circuit Design for Robust Memristive Neuromorphic Systems with STDP-based Learning
    Sagarvarma Sayyaparaju, Md Musabbir Adnan, Sherif Amer, Garrett S. Rose · 2020 · ACM Journal on Emerging Technologies in Computing Systems
  29. High-speed metamagnetic switching of FeRh through Joule heating
    Nicholas A. Blumenschein, Gregory M. Stephen, Cory D. Cress, Samuel W. LaGasse, Aubrey T. Hanbicki, Steven P. Bennett, Adam L. Friedman · 2022 · Scientific Reports
  30. Damascene versus subtractive line CMP process for resistive memory crossbars BEOL integration
    Raphaël Dawant, Matthieu Gaudreau, Marc-Antoine Roy, Pierre-Antoine Mouny, Matthieu Valdenaire, Pierre Gliech, Javier Arias‐Zapata, Malek Zegaoui, Fabien Alibart, Dominique Drouin et al. · 2024 · Micro and Nano Engineering
  31. Complementary memtransistors for neuromorphic computing: How, what and why
    Qi Chen, Yue Zhou, Weiwei Xiong, Zirui Chen, Yasai Wang, Xiang-Shui Miao, Yuhui He · 2024 · Journal of Semiconductors
  32. A generalized model of TiO x -based memristive devices and its application for image processing
    Jiangwei Zhang, Zhensen Tang, Nuo Xu, Yao Wang, Honghui Sun, Zhiyuan Wang, Liang Fang · 2017 · Chinese Physics B
  33. Implementing the on-chip backpropagation learning algorithm on FPGA architecture
    Huan Minh Vo · 2017 · International Conference on System Science and Engineering
  34. RRAM/CMOS-Hybrid Architecture of Annealing Processor for Fully Connected Ising Model
    Shogo Matsumoto, Hidenori Gyoten, Masayuki Hiromoto, Takashi G. Sato · 2018 · IEEE International Memory Workshop (IMW)
  35. Synchronization of neural networks with memristor-resistor bridge synapses and Lévy noise
    Liangchen Li, Rui chao Xu, Qintao Gan, Jiazhe Lin · 2021 · Neurocomputing
  36. The Impact of Device Uniformity on Functionality of Analog Passively-Integrated Memristive Circuits
    Zahra Fahimi, Mohammad Reza Mahmoodi, Michael Klachko, Hussein Nili, Dmitri B. Strukov · 2021 · IEEE Transactions on Circuits and Systems I Regular Papers
  37. Reservoir Computing with Planar Nanomagnet Arrays
    Peng Zhou, Nathan McDonald, Alexander J. Edwards, Lisa Loomis, Clare Thiem, Joseph S. Friedman · 2020 · arXiv (Cornell University)
  38. A frugal Spiking Neural Network for unsupervised multivariate temporal pattern classification and multichannel spike sorting
    Sai Deepesh Pokala, Marie Bernert, Takuya Nanami, Takashi Kohno, Timothée Levi, Blaise Yvert · 2025 · Nature Communications
  39. In‐Memory Euclidean Distance Computation in a Stacked Memristor Crossbar for Hardware Self‐Organizing Maps
    Jinwoo Park, Hyungjin Kim · 2026 · Advanced Functional Materials
  40. A Hybrid CMOS-Memristive Approach to Designing Deep Generative Models
    Vivek Parmar, Manan Suri · 2020 · IEEE Transactions on Neural Networks and Learning Systems
  41. Oxide Memristors for Brain-inspired Computing
    Xia Zhuge, Renxiang ZHU, Jianmin WANG, Jingrui Wang, Fei Zhuge · 2023 · Journal of Inorganic Materials
  42. Self-Organization in Autonomous, Recurrent, Firing-Rate CrossNets With Quasi-Hebbian Plasticity
    Thomas J. Walls, Konstantin K. Likharev · 2013 · IEEE Transactions on Neural Networks and Learning Systems
  43. Memristor crossbar based unsupervised training
    Raqibul Hasan, Tarek M. Taha · 2015 · IEEE National Aerospace and Electronics Conference (NAECON)
  44. Low Power Memristor Crossbar Based Winner Takes All Circuit
    B. Rasitha Fernando, Raqibul Hasan, Tarek M. Taha · 2018 · International Joint Conference on Neural Networks (IJCNN)
  45. Organic Memristive Devices for Neuromorphic Applications
    Silvia Battistoni · 2020 · BioNanoScience
  46. A Memristive Activation Circuit for Deep Learning Neural Networks
    Anu Bala, Xiaohan Yang, Adedotun Adeyemo, Abusaleh M. Jabir · 2018 · International Symposium on Embedded Computing and System Design (ISED)
  47. Deep neural network inference on an integrated, reconfigurable photonic tensor processor
    Lennart Meyer, Jelle Dijkstra, Simon Tebeck, Liam McRae, Niklas Bahr, Daniel Steinmeyer, Sergey N. Koptyaev, Johana Bernasconi, Nikolay G. Pavlov, Maxim Karpov et al. · 2026 · Nature Communications
  48. SpiMAM: CMOS Implementation of Bio-Inspired Spiking Multidirectional Associative Memory Featuring In-Situ Learning
    Sahibia Kaur Vohra, Mahendra Sakare, Alex Pappachen James, Devarshi Mrinal Das · 2024 · IEEE Transactions on Circuits and Systems I Regular Papers
  49. SITU: Stochastic input encoding and weight update thresholding for efficient memristive neural network in-situ training
    Xuening Dong, Brian Chen, Roman Genov, Mostafa Rahimi Azghadi, Amirali Amirsoleimani · 2024 · Neurocomputing
  50. Computational verification of approximate probabilistic estimates of operational efficiency of random neural networks
    Iakov Karandashev, Witali L. Dunin-Barkowski · 2015 · Optical Memory and Neural Networks
  51. Novel design for the odd-symmetric memristor from asymmetric switches
    Peifu Cheng, Yun Hang Hu · 2015 · Journal of Materials Chemistry C
  52. Area of Hysteresis Loop of a Generic Memristor Emulator
    Nune Pratyusha, Santanu Mandal, Rohit Bhargav Peesa, Mohammed Suhail · 2019 · International Conference on Smart and Sustainable Technologies (SpliTech)
  53. Vector multiplications using memristive devices and applications thereof
    Mohammed Affan Zidan, Wei Dong Lu · 2020 · Elsevier eBooks
  54. Multilevel memristor based matrix-vector multiplication: influence of the discretization method
    Antonio Javier Pérez-Ávila, Eduardo Pérez, J.B. Roldán, Christian Wenger, F. Jiménez-Molinos · 2021 · Spanish Conference on Electron Devices
  55. Single-Electron Tunneling PbS/InP Heterostructure Nanoplatelets for Synaptic Operations
    Paulo F. Jarschel, Jin Ho Kim, Louis Biadala, Maxime Berthe, Yannick Lambert, Richard M. Osgood, Gilles Patriarche, Bruno Grandidier, Jimmy M. Xu · 2021 · ACS Applied Materials & Interfaces
  56. An enhanced Verilog-A compact model for bipolar RRAMs including transient thermal effects and series resistance
    David Maldonado, F. Jiménez-Molinos, J.B. Roldán, Mireia Bargalló González, F. Campabadal · 2022 · Conference on Design of Circuits and Integrated Systems
  57. Ion Intercalation Enabled Tunable Frequency Response in Lithium Niobite Memristors
    A. Ghosh, Alex S. Weidenbach, Bill Zivasatienraj, T. M. McCrone, W. Doolittle · 2023 · IEEE Transactions on Electron Devices
  58. Experimental Study of Memristors for use in Neuromorphic Computing
    Ayesha Zaman, Eunsung Shin, Chris Yakopcic, Tarek M. Taha, Guru Subramanyam · 2018 · IEEE National Aerospace and Electronics Conference (NAECON)
  59. Lagrange stability for uncertain memristive neural networks with Lévy noise and leakage delay
    LI Liang-Chen, Rui chao Xu, Jiazhe Lin · 2020 · Physica A Statistical Mechanics and its Applications
  60. Emerging CMOS compatible memristor for storage technology and neuromorphic computing applications
    Zhenlong Wang, Zhigang Rick Li, Zhipeng Xia, Xiao Sun, Jialin Meng, Tianyu Wang · 2025 · Chip
  61. All-2D materials-based 1T1M cells with threshold switching for electronic neurons
    Bin Yuan, Kaichen Zhu, Tingting Han, Sebastian Matias Pazos, Mario Lanza · 2024 · Microelectronic Engineering
  62. A Parallel Read-Write Circuit With Fast Amplitude-Adaptive Matching Scheme to Memristor Crossbar Array
    Ningye Jiang, Mingxuan Jiang, Haoen Huang, Le Yang, Yi Huang, Zhigang Zeng · 2025 · IEEE Transactions on Circuits and Systems I Regular Papers
  63. Memristive device based learning for navigation in robots
    Mohammad Sarim, Manish Kumar, Rashmi Jha, Ali A. Minai · 2017 · Bioinspiration & Biomimetics
  64. Memristive and biological synaptic behavior in transition metal dichalcogenide-WS2 nanostructures: A review
    Amarjit Khuraijam, Vipin Kumar, N. C. Halder, Anoop Kumar Mukhopadhyay · 2022 · Materials Today Proceedings
  65. An Aqueous Analog MAC Machine
    Woo‐Bin Jung, Han Sae Jung, Jun Wang, Henry Hinton, Maxime Fournier, Adrian M. Horgan, Xavier Godron, Robert Nicol, Donhee Ham · 2022 · Advanced Materials
  66. Difficulties and approaches in enabling learning-in-memory using crossbar arrays of memristors
    Wei Juan Wang, Yang Li, Ming Wang · 2024 · Neuromorphic Computing and Engineering
  67. Efficient in situ learning of hybrid LIF neurons using WTA mechanism for high-speed low-power neuromorphic systems
    Syed Ali Hussain, P N S B S V Prasad, Pradyut Kumar Sanki · 2024 · Physica Scripta
  68. Memristor devices for use in neuromorphic systems
    Shu Wang, Weisong Wang, Chris Yakopcic, Eunsung Shin, Tarek M. Taha, Guru Subramanyam · 2016 · IEEE National Aerospace and Electronics Conference (NAECON)
  69. Experimental Demonstration of Firing Rate Neural Networks Based on Metal-Oxide Memristive Crossbars
    Farnood Merrikh Bayat, M. Prezioso, Bhaswar Chakrabarti · 2017 · Springer eBooks
  70. Analysis of Lithium Niobate Memristor Devices for Neuromorphic Programability
    Ayesha Zaman, Chris Yakopcic, Shu Wang, Eunsung Shin, Weisong Wang, Tarek M. Taha, Guru Subramanyam · 2019 · IEEE National Aerospace and Electronics Conference (NAECON)
  71. Mitigating State-Drift in Memristor Crossbar Arrays for Vector Matrix Multiplication
    Amirali Amirsoleimani, Tony Liu, Fabien Alibart, Serge Eccofey, Yao‐Feng Chang, Dominique Drouin, Roman Genov · 2021 · IntechOpen eBooks
  72. BATMANN: A Binarized-All-Through Memory-Augmented Neural Network for Efficient In-Memory Computing
    Yuan Ren, Rui Lin, Jie Ran, Chang Liu, Chaofan Tao, Zhongrui Wang, Can Li, Ngai Wong · 2021 · IEEE International Conference on ASIC (ASICON)
  73. State-Space Modeling and Tuning of Memristors for Neuromorphic Computing Applications
    Ming-Jay Yang, John Paul Strachan · 2023 · International Conference on Neuromorphic Systems (ICONS)
  74. Three-Dimensional Memristor-Based Crossbar Architecture for Capsule Network Implementation
    Yi Huang, Rui Hu, Zhigang Zeng · 2018 · International Conference on Information Science and Technology
  75. Heterogeneous CMOS/memristor hardware neural networks for real-time target classification
    Cory E. Merkel, Dhireesha Kudithipudi, Ray Ptucha · 2014 · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
  76. Design techniques of eNVM-enabled neuromorphic computing systems
    Chang Song, Beiye Liu, Chenchen Liu, Hai Helen Li, Yiran Chen · 2016 · IEEE International Conference on Computer Design: VLSI in Computers and Processors (ICCD)
  77. Methods for high resolution programming in lithuim niobate memristors for neuromorphic hardware
    Chris Yakopcic, Shu Wang, Weisong Wang, Eunsung Shin, Guru Subramanyam, Tarek M. Taha · 2017 · International Joint Conference on Neural Networks (IJCNN)
  78. A Neuromorphic Design Using Chaotic Mott Memristor with Relaxation Oscillation
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  79. Neuromemristive Multi-Layer Random Projection Network with On-Device Learning
    Abdullah M. Zyarah, Dhireesha Kudithipudi · 2019 · International Joint Conference on Neural Networks (IJCNN)
  80. A memristive synaptic circuit and optimization algorithm for synaptic control
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  81. All-Optical photonic crystal neuromorphic synapses using phase change material
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    John Nance, Kawsher A. Roxy, Sanjukta Bhanja, Greg P. Carman · 2022 · Journal of Applied Physics
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  85. Multi-mem behavior at reduced voltages in La 1 / 2 Sr 1 / 2 Mn 1 / 2 Co 1 / 2 O 3 − x perovskite modified with Sm: Ce O 2
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  88. Memristor-Based Selective Convolutional Circuit for High-Density Salt-and-Pepper Noise Removal
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  89. Nanoionics-based neuromorphic function of a Pt/Ti 0.96 Co 0.04 O 2- δ /Pt multilayer device operating at low pulse voltage
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  91. Review on data-centric brain-inspired computing paradigms exploiting emerging memory devices
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  92. Hybrid Perovskite-Based Memristor Devices
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  93. Analyzing the impact of parasitics on a CMOS-Memristive crossbar neural network based on winner-take-all and Hebbian rule
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  94. Selector-less crossbar array resistive RAM based on TiO2 fabricated by photochemical metal-organic deposition
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  95. Memristor crossbar-based learning method for ex situ training in neural networks
    Anu Bala, Xiaohan Yang, Adedotun Adeyemo, Saurabh Khandelwal, Abusaleh M. Jabir · 2024 · Elsevier eBooks
  96. A Circuit Implementation Method for Memristor Crossbar with On-chip Training
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  97. Memristive in Situ Computing
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  98. Memristor crossbar based winner take all circuit design for self-organization
    Raqibul Hasan, Tarek M. Taha · 2017
  99. Multilayer Neural Network with Synapse Based on Two Successive Memristors
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  100. Complex network dynamics in self-assembled atomic-switch networks: prospects for neuromorphic computation
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