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
  • [41] A Survey of Intelligent Chip Design Research Based on Spiking Neural Networks
    Chen, Lu
    Xiong, Xingzhong
    Liu, Jun
    IEEE ACCESS, 2022, 10 : 89663 - 89686
  • [42] Research on learning mechanism designing for equilibrated bipolar spiking neural networks
    Xu Yang
    Jiajun Lin
    Wenhao Zheng
    Jinfeng Zhao
    Mengyao Ji
    Yunlin Lei
    Zenghao Chai
    Artificial Intelligence Review, 2020, 53 : 5189 - 5215
  • [43] Research on learning mechanism designing for equilibrated bipolar spiking neural networks
    Yang, Xu
    Lin, Jiajun
    Zheng, Wenhao
    Zhao, Jinfeng
    Ji, Mengyao
    Lei, Yunlin
    Chai, Zenghao
    ARTIFICIAL INTELLIGENCE REVIEW, 2020, 53 (07) : 5189 - 5215
  • [44] Training Spiking Neural Networks with Accumulated Spiking Flow
    Wu, Hao
    Zhang, Yueyi
    Weng, Wenming
    Zhang, Yongting
    Xiong, Zhiwei
    Zha, Zheng-Jun
    Sun, Xiaoyan
    Wu, Feng
    THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2021, 35 : 10320 - 10328
  • [45] Spiking PointNet: Spiking Neural Networks for Point Clouds
    Ren, Dayong
    Ma, Zhe
    Chen, Yuanpei
    Peng, Weihang
    Liu, Xiaode
    Zhang, Yuhan
    Guo, Yufei
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 36 (NEURIPS 2023), 2023,
  • [46] Hardware Spiking Neural Networks with Pair-Based STDP Using Stochastic Computing
    Liu, Junxiu
    Wang, Yanhu
    Luo, Yuling
    Zhang, Shunsheng
    Jiang, Dong
    Hua, Yifan
    Qin, Sheng
    Yang, Su
    NEURAL PROCESSING LETTERS, 2023, 55 (06) : 7155 - 7173
  • [47] Hardware Spiking Neural Networks with Pair-Based STDP Using Stochastic Computing
    Junxiu Liu
    Yanhu Wang
    Yuling Luo
    Shunsheng Zhang
    Dong Jiang
    Yifan Hua
    Sheng Qin
    Su Yang
    Neural Processing Letters, 2023, 55 : 7155 - 7173
  • [48] Neural Architecture Search for Spiking Neural Networks
    Kim, Youngeun
    Li, Yuhang
    Park, Hyoungseob
    Venkatesha, Yeshwanth
    Panda, Priyadarshini
    COMPUTER VISION, ECCV 2022, PT XXIV, 2022, 13684 : 36 - 56
  • [49] Incremental Neural Synthesis for Spiking Neural Networks
    Huy Le Nguyen
    Chu, Dominique
    2022 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI), 2022, : 649 - 656
  • [50] Stochastic Computing with Spiking Neural P Systems
    Wong, Ming Ming
    Wong, Mou Ling Dennis
    JOURNAL OF UNIVERSAL COMPUTER SCIENCE, 2017, 23 (07) : 589 - 602
12345