Hebbian learning and spiking neurons

被引：0
|
作者：
Kempter, Richard
Gerstner, Wulfram
van Hemmen, J. Leo
机构：
来源：
Physical Review E. Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics | 1999年 / 59卷 / 04期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
下载
收藏
相关论文
共 50 条
  • [21] Bayesian spiking neurons II: Learning
    Deneve, Sophie
    NEURAL COMPUTATION, 2008, 20 (01) : 118 - 145
  • [22] Information theoretical properties of a spiking neuron trained with Hebbian and STDP learning rules
    Chu, Dominique
    NATURAL COMPUTING, 2023,
  • [23] 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
  • [24] Hebbian learning and predictive mirror neurons for actions, sensations and emotions
    Keysers, Christian
    Gazzola, Valeria
    PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2014, 369 (1644)
  • [25] Deep Learning With Spiking Neurons: Opportunities and Challenges
    Pfeiffer, Michael
    Pfeil, Thomas
    FRONTIERS IN NEUROSCIENCE, 2018, 12
  • [26] Quantifying the effect of learning on recurrent spiking neurons
    Brodu, Nicolas
    2007 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-6, 2007, : 512 - 517
  • [27] A New Supervised Learning Algorithm for Spiking Neurons
    Zhang, Malu
    Qu, Hong
    Li, Jianping
    Xie, Xiurui
    PROCEEDINGS OF THE 18TH ASIA PACIFIC SYMPOSIUM ON INTELLIGENT AND EVOLUTIONARY SYSTEMS, VOL 1, 2015, : 171 - 184
  • [28] Natural-gradient learning for spiking neurons
    Kreutzer, Elena
    Senn, Walter
    Petrovici, Mihai A.
    ELIFE, 2022, 11
  • [29] On the complexity of learning for spiking neurons with temporal coding
    Maass, W
    Schmitt, M
    INFORMATION AND COMPUTATION, 1999, 153 (01) : 26 - 46
  • [30] Gradient Learning in Networks of Smoothly Spiking Neurons
    Sima, Jiri
    ADVANCES IN NEURO-INFORMATION PROCESSING, PT II, 2009, 5507 : 179 - 186
12345