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

Cited by (642)

Items 501–600 of 642

1. Alphanumeric Pattern Recognition by Memristive Crossbar Circuit using Perceptron Learning Rule
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2. Effects of Ambient and Annealing Temperature in HfO 2 Based RRAM Device Modeling and Circuit-Level Implementation
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3. A Plausible Memristor Implementation of Deep Learning Neural Networks
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4. Highly-Secure Physically Unclonable Cryptographic Primitives Using Nonlinear Conductance and Analog State Tuning in Memristive Crossbar Arrays
   Hussein Nili, Gina C. Adam, M. Prezioso, Jeeson Kim, Farnood Merrikh-Bayat, Omid Kavehei, Dmitri B. Strukov · 2016 · arXiv (Cornell University)
5. Energy-Efficient Training of Memristor Crossbar-Based Multi-Layer Neural Networks
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6. Memristor-driven neuromorphic computing with crossbar arrays: A hardware perspective
   Ilia Polian, Nan Du · 2025 · Elsevier eBooks
7. Exponential-weight multilayer perceptron
   Farnood Merrikh Bayat, Xinjie Guo, Dmitri B. Strukov · 2017 · International Joint Conference on Neural Networks (IJCNN)
8. Memristor Crossbar-Based Hardware Implementation of Type-2 Fuzzy Membership Function and On-Chip Learning
   Sajad Haghzad Klidbary, Mohammad Javadian, Reza Omidi, Reza P. R. Hasanzadeh · 2021 · International Journal of Engineering
9. Braille–Latin conversion using memristive bidirectional associative memory neural network
   Jayasri Vaidyaraman, Abitha K. Thyagarajan, S. Shruthi, Venkata Kiran Kumar Ravi · 2022 · Journal of Ambient Intelligence and Humanized Computing
10. Memristive Neural Network with Efficient In-Situ Supervised Training
    Santlal Prajaprati, Manobendra Nath Mondal, Susmita Sur‐Kolay · 2022 · IEEE International System-on-Chip Conference (SOCC)
11. Neuromorphic learning and forgetting functions of Pt/Ti0.99Sc0.01O2−δ /Pt multilayer by Schottky barrier modulation
    Mitsuki Taniguchi, Tomoasa Takada, Kisara Tomiyoshi, Tomoki Wada, Daiki Nishioka, Tohru Higuchi · 2023 · Japanese Journal of Applied Physics
12. A Memristive Cell with Long Retention Time in 65 nm CMOS Technology
    Hussein Assaf, Yvon Savaria, Mohamed Ali, Morteza Nabavi, Mohamad Sawan · 2023 · Advanced Electronic Materials
13. Effect of memristor’s potentiation-depression curves peculiarities in the convergence of physical perceptrons
    Walter Quiñonez, María José Sánchez, D. Rubi · 2023 · Physica Scripta
14. A-Connect: An Ex Situ Training Methodology to Mitigate Stochasticity in Neural Network Analog Accelerators
    Luis E. Rueda G., R. Guerrero Vergel, Edward Silva, Elkim Roa · 2023 · IEEE Transactions on Circuits and Systems I Regular Papers
15. Review of Hardware Implementation of SNN
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16. Energy-Efficient Time-Domain Computation for Edge Devices: Challenges and Prospects
    Hamza Al Maharmeh, Mohammed Ismail, Mohammad Alhawari · 2024 · Foundations and Trends® in Integrated Circuits and Systems
17. Fabrication and investigation of a memristive crossbar array artificial synapses based on electrochemical titanium oxide for neuroelectronics
    Lev G. Zhavoronkov, Авилов Вадим Игоревич, Nikita V. Polupanov, Daniil A. Khakhulin, Vladimir A. Smirnov · 2024 · Ferroelectrics
18. Pulse‐Modulated Polarization Switching Dynamics in Ferroelectric Thin Film for Circuit‐Level Implementation of Multi‐Bit FeRAM Cell
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19. Scalable Reasoning and Sensing Using Processing-In-Memory With Hybrid Spin/CMOS-Based Analog/Digital Blocks
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20. Binary Synapse Circuitry for High Efficiency Learning Algorithm Using Generalized Boundary Condition Memristor Models
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21. Experimental analog implementation of Neural Networks on integrated metal-oxide memristive crossbar arrays
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22. Hybrid neural network using binary RRAM devices
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23. Efficient Mini-Batch Training on Memristor Neural Network Integrating Gradient Calculation and Weight Update
    Satoshi Yamamori, Masayuki Hiromoto, Takashi G. Sato · 2018 · IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences
24. Hopfield Neural Network with Double-Layer Amorphous Metal-Oxide Semiconductor Thin-Film Devices as Crosspoint-Type Synapse Elements and Working Confirmation of Letter Recognition
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25. ANN Circuit Application of Complementary Resistive Switches
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26. Neuromorphic Computing Systems: From CMOS To Emerging Nonvolatile Memory
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27. Analysis and Verification of a New Photoelectric-Motivated Memristor Based on Avalanche Photo-Diode
    Bo Peng · 2019 · IEEE Access
28. Weight Update Generation Circuit Utilizing Phase Noise of Integrated Complementary Metal–Oxide–Semiconductor Ring Oscillator for Memristor Crossbar Array Neural Network‐Based Stochastic Learning
    Woorham Bae, Kyung Jean Yoon · 2020 · Advanced Intelligent Systems
29. A Survey of Resource Management for Processing-In-Memory and Near-Memory Processing Architectures
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30. Memristive Computing Devices and Applications
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31. A Low-Cost Training Method of ReRAM Inference Accelerator Chips for Binarized Neural Networks to Recover Accuracy Degradation due to Statistical Variabilities
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32. Memristive In Situ Computing
    Omid Kavehei, Efstratios Stan Skafidas, Kamran Eshraghian · 2019 · Springer eBooks
33. Mathematical modeling of memristor resistive switching based on mass transfer full model of oxygen vacancies and ions
    Abdulla Ebrahim, Alexander N. Busygin, S. Yu. Udovichenko · 2022 · Tyumen State University Herald Physical and Mathematical Modeling Oil Gas Energy
34. Adaptive image recognition circuit based on CMOS-based memristor
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35. Hybrid Precision in Resistive Memory-Based Convolutional Kernel for Fault-Resilient Neuromorphic Systems
    Seonuk Jeon, E. Hong, He Kang, Hyun Wook Kim, Nayeon Kim, Ji-Yong Woo · 2023 · IEEE Transactions on Electron Devices
36. Robust Ex-situ Training of Memristor Crossbar-based Neural Network with Limited Precision Weights
    Raqibul Hasan · 2023 · IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH)
37. Design Space Evaluation of a Memristor Crossbar Based Multilayer Perceptron for Image Processing
    Chris Yakopcic, B. Rasitha Fernando, Tarek M. Taha · 2019 · International Joint Conference on Neural Networks (IJCNN)
38. Simulation of information decoding processes in the output device of the biomorphic neuroprocessor
    Alexander D. Pisarev, Alexander N. Busygin, Abdulla Kh. A. Ibrahim, S. Yu. Udovichenko · 2020 · Tyumen State University Herald Physical and Mathematical Modeling Oil Gas Energy
39. An efficient highly parallelized ReRAM-based architecture for motion estimation of HEVC
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40. Mixed Signal Neurocomputing Based on Floating-gate Memories
    Xinjie Guo · 2017 · eScholarship (California Digital Library)
41. Efficient and Low Overhead Memristive Activation Circuit for Deep Learning Neural Networks
    Anu Bala, Xiaohan Yang, Adedotun Adeyemo, Abusaleh M. Jabir · 2019 · Journal of Low Power Electronics
42. Robust Fault-Tolerant Design Based on Checksum and On-Line Testing for Memristor Neural Network
    Michihiro Shintani, Mamoru Ishizaka, Michiko Inoue · 2021 · Proceedings - Asian Test Symposium/Proceedings
43. Organic Memristive Devices and Organic Electrochemical Transistors as Promising Elements for Bio-inspired Systems
    Silvia Battistoni · 2022 · Springer eBooks
44. Neuromorphic Computing Based on Memristor Dynamics
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45. Memristor Applications: Nanodevices Redefining Technological Landscapes
    Nikolaos Vasileiadis, Georgios Ch. Sirakoulis, Panagiotis Dimitrakis · 2023 · International Workshop on Cellular Nanoscale Networks and their Applications (CNNA)
46. Memristor-based multilayer neural network with edge learning and weight update
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47. Evolution of Neural Network Models and Computing-in-Memory Architectures
    Ashish Kumar, Meenu Devi, Shiva Kumar Singh, Kulwant Singh, Dhaneshwar Mishra · 2025 · Archives of Computational Methods in Engineering
48. Unsupervised local learning based on voltage-dependent synaptic plasticity for resistive and ferroelectric synapses
    Nikhil Garg, Ismael Balafrej, João Henrique Quintino Palhares, Laura Bégon‐Lours, Davide Florini, Donato Francesco Falcone, Tommaso Stecconi, Valeria Bragaglia, Bert Jan Offrein, Jean‐Michel Portal et al. · 2026 · Communications Materials
49. Modeling memristor-based neural networks with Manhattan update: Trade-offs in learning performance and energy consumption
    Walter Quiñonez, María José Sánchez, D. Rubi · 2026 · APL Electronic Devices
50. A neural circuit without consuming Joule heat, and synchronization coupled by a memristor
    Qi Cao, Binchi Wang, C.-Y. Wang · 2026 · The European Physical Journal Plus
51. Optoelectronic artificial synapse for lateral inhibition-enhanced retinal biomimicry
    Mingchen Yang, X W Sun, Shengzhe Ding, Xinxin Yuan, Jiaqi Lin, Shuangqing Fan, Jie Su · 2026 · Nanotechnology
52. Interfacial Conductive Pathway Enabled Self-Rectifying Ferroelectric Memristor for Neuromorphic Applications
    Junxin Cheng, Yu Yan, Xiangyuan Li, Hongwei Ge, Xiaomeng Li, Chuan Liu, Takeo Minari, Xuying Liu, Li Zhang, Qingqing Sun · 2026 · Nano Letters
53. Fault-free analogue computing with imperfect hardware
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54. Practical gradient-descent for memristive crossbars
    Manu V Nair, Piotr Dudek · 2015 · International Conference on Memristive Systems (MEMRISYS)
55. Associative Networks and Perceptron Based on Memristors: Fundamentals and Algorithmic Implementation
    Catarina Dias, D.J. Silva, Paulo Aguiar, João O. Ventura · 2019 · Springer eBooks
56. Design and verification of novel silicon-controlled-rectifier-memristor based on standard CMOS process
    Yang Wang, Shengguo Cao, Xiangliang Jin, Yan Peng, Jun Luo · 2020 · Semiconductor Science and Technology
57. Comparison of update and genetic training algorithms in a memristor crossbar perceptron
    Kyle N. Edwards, Xiao Shen · 2022 · AIP Advances
58. Reliable Memristive Neural Network Accelerators Based on Early Denoising and Sparsity Induction
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61. Real-time visual data processing using neuromorphic systems
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62. A novel memristive cellular neural network with time-variant templates
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65. Investigation of electrical performance and synaptic long-term plasticity of memristive devices with new transition metal carbide
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67. A modified supervised learning rule for training a photonic spiking neural network to recognize digital patterns
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68. Neuromorphic Systems
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69. Design Exploration of Hybrid CMOS-OxRAM Deep Generative Architectures
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70. Field-Programmable Crossbar Array (FPCA) for Reconfigurable Computing
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71. Energy-Efficient Implementation of Generative Adversarial Networks on Passive RRAM Crossbar Arrays
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72. Assessing the Performance of Reinforcement Learning on Passive RRAM Crossbar Array
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73. Rethinking biologically inspired learning algorithmstowards better credit assignment for on-chip learning
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74. On designing circuit primitives for cortical processors with memristive hardware
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75. Memristor crossbar based low cost classifiers and their applications
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84. Pulse-Induced Resistivity Modulation of Pt/Ti0.99Sc0.01O2-δ/Pt Multilayer with Electron-Ion Mixed Conduction
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85. Analysis and Verification of a Novel Single-Photon Memristor
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86. Neuro-inspired System with Crossbar Array of Amorphous Metal-Oxide-Semiconductor Thin-Film Devices as Self-plastic Synapse Units
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87. Performance Variability and Analog Behaviors of Memristive Devices with New Transition Metal Carbide
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96. Literature Survey
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97. Neuronal Communication Channels
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98. Resistive switching characteristics of TiO2 thin films for nonvolatile memory applications
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99. Memristive/CMOS Devices for Neuromorphic Applications
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100. An artificial bridge circuit approach between two biological neurons using nanoscale topologies towards paralytic disorders
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