Does Soft Computing Classify Research in Spiking Neural Networks?

被引：0
作者：
Maguire L. [1 ]
机构：
[1] Intelligent Systems Research Centre, School of Computing and Intelligent Systems, University of Ulster, Northern Ireland, Derry
来源：
International Journal of Computational Intelligence Systems | 2010年 / 3卷 / 2期
关键词：
classification; Spiking neural networks;
D O I：
10.2991/ijcis.2010.3.2.5
中图分类号：
学科分类号：
摘要：
The last fifty years has witnessed considerable activity in research that develops computational approaches inspired by nature. There are a number of umbrella terms used by researchers to classify their contributions. This can cause problems in disseminating and sharing results and potentially restricts research due to a lack of knowledge of the varied contributions. This paper reviews research in spiking neural networks and attempts to determine if the term Soft Computing can be used to classify contributions in this area. © 2010, the authors.
引用
收藏
页码：176 / 189
页数：13
相关论文
共 50 条
  • [31] Simulating spiking neural networks on GPU
    Brette, Romain
    Goodman, Dan F. M.
    NETWORK-COMPUTATION IN NEURAL SYSTEMS, 2012, 23 (04) : 167 - 182
  • [32] Spiking neural networks for computer vision
    Hopkins, Michael
    Pineda-Garcia, Garibaldi
    Bogdan, Petrut A.
    Furber, Steve B.
    INTERFACE FOCUS, 2018, 8 (04)
  • [33] The geometry of robustness in spiking neural networks
    Calaim, Nuno
    Dehmelt, Florian A.
    Goncalves, Pedro J.
    Machens, Christian K.
    ELIFE, 2022, 11
  • [34] Input-Aware Dynamic Timestep Spiking Neural Networks for Efficient In-Memory Computing
    Li, Yuhang
    Moitra, Ahhishek
    Geller, Tamar
    Panda, Priyadarshini
    2023 60TH ACM/IEEE DESIGN AUTOMATION CONFERENCE, DAC, 2023,
  • [35] Stochasticity and robustness in spiking neural networks
    Olin-Ammentorp, Wilkie
    Beckmann, Karsten
    Schuman, Catherine D.
    Plank, James S.
    Cady, Nathaniel C.
    NEUROCOMPUTING, 2021, 419 : 23 - 36
  • [36] STORING INFORMATION WITH SPIKING NEURAL NETWORKS
    Mirsu, Radu
    Tiponut, Virgil
    Gavrilut, Ioan
    PROCEEDINGS OF THE 13TH WSEAS INTERNATIONAL CONFERENCE ON COMPUTERS, 2009, : 318 - +
  • [37] Efficient learning in spiking neural networks
    Rast, Alexander
    Aoun, Mario Antoine
    Elia, Eleni G.
    Crook, Nigel
    NEUROCOMPUTING, 2024, 597
  • [38] PlaNeural : Spiking Neural Networks that Plan
    Mitchell, Ian
    Huyck, Christian
    Evans, Carl
    7TH ANNUAL INTERNATIONAL CONFERENCE ON BIOLOGICALLY INSPIRED COGNITIVE ARCHITECTURES, (BICA 2016), 2016, 88 : 198 - 204
  • [39] Memory Trace in Spiking Neural Networks
    Castellano, Marta
    Pipa, Gordon
    ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2013, 2013, 8131 : 264 - 271
  • [40] MATLAB MODEL FOR SPIKING NEURAL NETWORKS
    Bogdanov, Ivan
    Mirsu, Radu
    Tiponut, Virgil
    PROCEEDINGS OF THE 13TH WSEAS INTERNATIONAL CONFERENCE ON SYSTEMS: RECENT ADVANCES IN SYSTEMS, 2009, : 533 - +
12345