Neural Computing and Applications

, Volume 24, Issue 7–8, pp 1595–1600 | Cite as

Analysis and design of winner-take-all behavior based on a novel memristive neural network

  • Ailong Wu
  • Zhigang Zeng
  • Jiejie Chen
Original Article


In this paper, some sufficient conditions are derived to guarantee a novel memristive neural network for realizing winner-take-all behavior. Some design methods for synthesizing the winner-take-all behavior based on the memristive neural network are developed by using the obtained results. Finally, simulation results demonstrate the validity and characteristics of the proposed approach.


Winner-take-all Memristive neural networks Hybrid systems 



The authors are grateful to the anonymous reviewers and the editor for many valuable comments. The work is supported by the Natural Science Foundation of China under Grant 61125303, the 973 Program of China under Grant 2011CB710606, the Fund for Distinguished Young Scholars of Hubei Province under Grant 2010CDA081. The work of A. Wu was done with the School of Automation, Huazhong University of Science and Technology, Wuhan, China.


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Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  1. 1.College of Mathematics and StatisticsHubei Normal UniversityHuangshiChina
  2. 2.Institute for Information and System ScienceXi’an Jiaotong UniversityXi’anChina
  3. 3.School of AutomationHuazhong University of Science and TechnologyWuhanChina
  4. 4.Key Laboratory of Image Processing and IntelligentControl of Education Ministry of ChinaWuhanChina

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