4.5 Article

On Antiperiodic Solutions for Cohen-Grossberg Shunting Inhibitory Neural Networks with Time-Varying Delays and Impulses

期刊

NEURAL COMPUTATION
卷 26, 期 10, 页码 2328-2349

出版社

MIT PRESS
DOI: 10.1162/NECO_a_00642

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资金

  1. National Natural Science Foundation of China [11261010, 11201138]
  2. Soft Science and Technology Program of Guizhou Province [2011LKC2030]
  3. Natural Science and Technology Foundation of Guizhou Province [J[2012]2100]
  4. Natural Science and Technology Foundation of Guizhou Province
  5. Governor Foundation of Guizhou Province [[2012]53]
  6. Scientific Research Fund of Hunan Provincial Education Department [12B034]

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In this letter, a class of Cohen-Grossberg shunting inhibitory neural networks with time-varying delays and impulses is investigated. Sufficient conditions for the existence and exponential stability of antiperiodic solutions of such a class of neural networks are established. Our results are new and complementary to previously known results. An example is given to illustrate the feasibility and effectiveness of our main results.

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