Supervised Learning in Spiking Neural Networks with MLC PCM Synapses

被引:0
|
作者
Nandakumar, S. R. [1 ]
Boybat, I. [2 ]
Le Gallo, M. [2 ]
Sebastian, A. [2 ]
Rajendran, B. [1 ]
Eleftheriou, E. [2 ]
机构
[1] New Jersey Inst Technol, Dept Elect & Comp Engn, Newark, NJ 07102 USA
[2] IBM Res Zurich, CH-8803 Ruschlikon, Switzerland
关键词
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
引用
收藏
页数:2
相关论文
共 50 条
  • [21] Supervised learning in Spiking Neural Networks with Limited Precision: SNN/LP
    Stromatias, Evangelos
    Marsland, John S.
    2015 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2015,
  • [22] An STDP-Based Supervised Learning Algorithm for Spiking Neural Networks
    Hu, Zhanhao
    Wang, Tao
    Hu, Xiaolin
    NEURAL INFORMATION PROCESSING (ICONIP 2017), PT II, 2017, 10635 : 92 - 100
  • [23] Supervised learning in a spiking neural network
    Cho, Myoung Won
    JOURNAL OF THE KOREAN PHYSICAL SOCIETY, 2021, 79 (03) : 328 - 335
  • [24] Initial Experiments Evolving Spiking Neural Networks with Supervised Learning Capability
    Schaffer, J. David
    COMPLEX ADAPTIVE SYSTEMS CONFERENCE WITH THEME: ENGINEERING CYBER PHYSICAL SYSTEMS, CAS, 2017, 114 : 184 - 191
  • [25] A Supervised Multi-Spike Learning Algorithm for Spiking Neural Networks
    Miao, Yu
    Tang, Huajin
    Pan, Gang
    2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2018, : 420 - 426
  • [26] Supervised Learning in Spiking Neural Networks with Synaptic Delay Plasticity: An Overview
    Lan, Yawen
    Li, Qiang
    CURRENT BIOINFORMATICS, 2020, 15 (08) : 854 - 865
  • [27] A Supervised Learning Rule for Recurrent Spiking Neural Networks with Weighted Spikes
    Shi, Guoyong
    Liang, Jungang
    Cui, Yong
    2022 IEEE 34TH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, ICTAI, 2022, : 522 - 527
  • [28] Hebbian Learning in Spiking Neural Networks With Nanocrystalline Silicon TFTs and Memristive Synapses
    Cantley, Kurtis D.
    Subramaniam, Anand
    Stiegler, Harvey J.
    Chapman, Richard A.
    Vogel, Eric M.
    IEEE TRANSACTIONS ON NANOTECHNOLOGY, 2011, 10 (05) : 1066 - 1073
  • [29] Experimental demonstration of learning properties of a new supervised learning method for the Spiking Neural Networks
    Kasinski, A
    Ponulak, F
    ARTIFICIAL NEURAL NETWORKS: BIOLOGICAL INSPIRATIONS - ICANN 2005, PT 1, PROCEEDINGS, 2005, 3696 : 145 - 152
  • [30] Supervised Learning in Spiking Neural Networks with ReSuMe: Sequence Learning, Classification, and Spike Shifting
    Ponulak, Filip
    Kasinski, Andrzej
    NEURAL COMPUTATION, 2010, 22 (02) : 467 - 510