2014 International Joint Conference on Neural Networks (IJCNN) 2014
DOI: 10.1109/ijcnn.2014.6889505
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Oscillation analysis of the solutions for a four coupled FHN network model with delays

Abstract: In this paper, the existence of oscillatory solutions for a four coupled FHN network model with delays is investigated. Some theorems to determine the oscillatory solutions for the system are obtained. The practical criteria for selecting the parameters in this network are provided. Computer simulations are also given to illustrate the effectiveness of the results.

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“…The stability and oscillation of the solutions is investigated by constructing of Liapunov functional and applying the Chafees limit cycle criterion. Zhen and Xu [42] and also Lin [50] generalized the FHN models to a three coupled FHN neurons and Feng and Plamondon [51] to a four coupled FHN neurons with time delay. They derived some criteria to determine the periodic oscillation were provided in the multiple delayed FHN neural system with nonidentical cells.…”
Section: Introductionmentioning
confidence: 99%
“…The stability and oscillation of the solutions is investigated by constructing of Liapunov functional and applying the Chafees limit cycle criterion. Zhen and Xu [42] and also Lin [50] generalized the FHN models to a three coupled FHN neurons and Feng and Plamondon [51] to a four coupled FHN neurons with time delay. They derived some criteria to determine the periodic oscillation were provided in the multiple delayed FHN neural system with nonidentical cells.…”
Section: Introductionmentioning
confidence: 99%