Data Clustering using Memristor Networks

Choi, Shinhyun, Sheridan, Patrick, Lu, Wei D.·2015·Scientific Reports

Cited by (132)

Items 101–132 of 132

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    Jussi H. Poikonen, Mika Laiho · 2017 · IEEE International Symposium on Circuits and Systems proceedings
  2. Double Dielectric Layer Metal-oxide Memristor: Design and Applications
    Junqi YOU, Ce Li, Dongliang Yang, Linfeng Sun · 2023 · Journal of Inorganic Materials
  3. Heterogeneous density-based clustering with a dual-functional memristive array
    Dong Hoon Shin, Sunwoo Cheong, Soo Hyung Lee, Yoon Ho Jang, Taegyun Park, Janguk Han, Sung Keun Shim, Yeong Rok Kim, Joon‐Kyu Han, In Kyung Baek et al. · 2024 · Materials Horizons
  4. Unsupervised learning in neuromemristive systems
    Cory E. Merkel, Dhireesha Kudithipudi · 2015 · IEEE National Aerospace and Electronics Conference (NAECON)
  5. Taming Emerging Devices' Variation and Reliability Challenges with Architectural and System Solutions [Invited]
    Yuyang Wang, Leilai Shao, Miguel Ángel Lastras-Montaño, Kwang-Ting Tim Cheng · 2019 · IEEE International Conference on Microelectronic Test Structures (ICMTS)
  6. Implementation of Binary Particle Swarm Optimization for Image Thresholding using Memristor Crossbar Array
    Priyanka B. Ganganaik, Omkar Mukul Gowaikar, V. Jeffry Louis, Rajesh Kumar Tripathy, Venkateswaran Rajagopalan, B. V. V. S. N. Prabhakar Rao, Souvik Kundu · 2022 · Lecture notes in electrical engineering
  7. Nonuniform magnetic domain-wall synapses enabled by population coding
    Ya Qiao, Yajun Zhang, Zhe Yuan · 2023 · New Journal of Physics
  8. Memristor crossbar based winner take all circuit design for self-organization
    Raqibul Hasan, Tarek M. Taha · 2017
  9. Memristors divide to conquer device variability
    Dietmar Fey · 2018 · Nature Electronics
  10. Scalable fabrication of vertically arranged Bi2Se3 crossbar arrays for memristive device applications
    Seung Jun Ki, Shiwoo Lee, Mingze Chen, Xiaogan Liang · 2024 · Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena
  11. 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
  12. Robust fuzzy dual-local information clustering with kernel metric and quadratic surface prototype for image segmentation
    Chengmao Wu, Zeren Wang · 2022 · Applied Intelligence
  13. Novel spiking neural network utilizing short-term and long-term dynamics of 3-terminal resistive crossbar arrays
    Sam Wenke, Andrew Rush, Tony Bailey, Rashmi Jha · 2017 · IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)
  14. Ferroelectric tunnel junctions
    Vincent Garcia · 2020 · Kölner Universitäts PublikationsServer (Universität zu Köln)
  15. MeMCISA: Memristor-Enabled Memory-Centric Instruction-Set Architecture for Database Workloads
    Yihang Zhu, Lei Cai, Lianfeng Yu, Anjunyi Fan, Longhao Yan, Zhaokun Jing, Bonan Yan, Pek Jun Tiw, Yuqi Li, Yaoyu Tao et al. · 2024 · IEEE/ACM International Symposium on Microarchitecture (MICRO)
  16. Memristor-based Echo State Network and Prediction for Time Series
    Xiaohui Mu, Lixiang Li · 2021 · International Conference on Neuromorphic Computing (ICNC)
  17. Hyperplane tree-based data mining with a multi-functional memristive crossbar array
    Sunwoo Cheong, Dong Hoon Shin, Soo Hyung Lee, Yoon Ho Jang, Janguk Han, Sung Keun Shim, Joon‐Kyu Han, N. Ghenzi, Cheol Seong Hwang · 2024 · Materials Horizons
  18. Real-time analog processing with on-chip learning using multiple-input translinear elements
    Charana S. S. Sonnadara, Sahil S. Shah · 2025 · npj Unconventional Computing
  19. Memristive Anodic Oxides: Production, Properties and Applications in Neuromorphic Computing
    Andrea Brenna, Fernando Corinto, Seyedreza Noori, Marco Ormellese, MariaPia Pedeferri, Maria Vittoria Diamanti · 2018 · InTech eBooks
  20. Ferroelectric Memristive Networks for Dimensionality Reduction: A Process for Effectively Classifying Cancer Datasets
    P. Michael Preetam Raj, V. Jeffry Louis, Sumit Kumar Chatterjee, Sayan Kanungo, Souvik Kundu · 2019 · Integrated ferroelectrics
  21. Configurable Digital Pulse Generator for Neuromorphic Devices
    Sungryoung Lee, Hoyoung Yoo · 2021 · International Conference on Electronics, Information, and Communication (ICEIC)
  22. A Neural Network with HfO2 Memristors
    Stoyan Kirilov, Ivan D. Zaykov · 2021 · Proceedings of the Technical University of Sofia
  23. Neuromorphic applications using MOx-based memristors
    Stefano Brivio, Elisa Vianello · 2022 · Elsevier eBooks
  24. Level Scaling and Pulse Regulating Methods to Mitigate Cycle-to-cycle Variation in Memristor Based Learning System
    Zhiheng Liao, Jingyan Fu, Jinhui Wang · 2020 · Research Square
  25. Recursive functions in high-dimensional computing with random vectors
    Jussi H. Poikonen, Eero Lehtonen, Mika Laiho · 2016 · International Joint Conference on Neural Networks (IJCNN)
  26. Hidden Markov model inference in an Associative memory architecture
    Jussi H. Poikonen, Mika Laiho, Eero Lehtonen, Timo Knuutila · 2016 · International Joint Conference on Neural Networks (IJCNN)
  27. Stochastic Sparse Learning with Momentum Adaptation for Imprecise Memristor Networks
    Yaoyuan Wang, Shuang Wu, Zhang, Ziyang, Lei Tian, Luping Shi · 2019 · arXiv (Cornell University)
  28. Transport at the nanoscale
    João Bessa Sousa, João O. Ventura, André M. Pereira · 2021 · Elsevier eBooks
  29. MCAM: Memductance Components Adaptive Model for Efficient Modeling of Memductance of Memristive Devices for Neuromorphic Circuits and Systems
    Ali Shiri Sichani, Wilfrido Alejandro Moreno · 2024 · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  30. Multi-optimization scheme for in-situ training of memristor neural network based on contrastive learning
    Feier Xiong, Yue Zhou, Xiaofang Hu, Shukai Duan · 2024 · Applied Intelligence
  31. Local learning with highly analog memory devices
    Christopher H. Bennett · 2018
  32. Embracing Imperfections : Hardware-compatible Neural Networks for Neuromorphic Computing
    Atreya Majumdar · 2023