Journal
NEURAL COMPUTATION
Volume 26, Issue 10, Pages 2328-2349Publisher
MIT PRESS
DOI: 10.1162/NECO_a_00642
Keywords
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Funding
- National Natural Science Foundation of China [11261010, 11201138]
- Soft Science and Technology Program of Guizhou Province [2011LKC2030]
- Natural Science and Technology Foundation of Guizhou Province [J[2012]2100]
- Natural Science and Technology Foundation of Guizhou Province
- Governor Foundation of Guizhou Province [[2012]53]
- 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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