Copyright © 2013 Shasha Xie and Zhenkun Huang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

1. H. R. Wilson and J. D. Cowan, “Excitatory and inhibitory interactions in localized populations of model neurons,” Biophysical Journal, vol. 12, no. 1, pp. 1–24, 1972. View at Publisher · View at Google Scholar · View at Scopus
2. H. R. Wilson and J. D. Cowan, “A mathematical theory of the functional dynamics of cortical and thalamic nervous tissue,” Kybernetik, vol. 13, no. 2, pp. 55–80, 1973. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
3. C. van Vreeswijk and H. Sompolinsky, “Chaos in neuronal networks with balanced excitatory and inhibitory activity,” Science, vol. 274, no. 5293, pp. 1724–1726, 1996. View at Publisher · View at Google Scholar · View at Scopus
4. S. E. Folias and G. B. Ermentrout, “New patterns of activity in a pair of interacting excitatory-inhibitory neural fields,” Physical Review Letters, vol. 107, no. 22, Article ID 228103, 2011.
5. K. Mantere, J. Parkkinen, T. Jaaskelainen, and M. M. Gupta, “Wilson-Cowan neural-network model in image processing,” Journal of Mathematical Imaging and Vision, vol. 2, no. 2-3, pp. 251–259, 1992. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
6. L. H. A. Monteiro, M. A. Bussab, and J. G. C. Berlinck, “Analytical results on a Wilson-Cowan neuronal network modified model,” Journal of Theoretical Biology, vol. 219, no. 1, pp. 83–91, 2002. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
7. B. Pollina, D. Benardete, and V. W. Noonburg, “A periodically forced Wilson-Cowan system,” SIAM Journal on Applied Mathematics, vol. 63, no. 5, pp. 1585–1603, 2003. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet · View at Scopus
8. R. Decker and V. W. Noonburg, “A periodically forced Wilson-Cowan system with multiple attractors,” SIAM Journal on Mathematical Analysis, vol. 44, no. 2, pp. 887–905, 2012. View at Publisher · View at Google Scholar · View at MathSciNet
9. P. L. William, “Equilibrium and stability of wilson and cowan's time coarse graining model,” in Proceedings of the 20th International Symposium on Mathematical Theory of Networks and Systems (MTNS '12), Melbourne, Australia, July 2012. View at Publisher · View at Google Scholar
10. Z. Huang, S. Mohamad, X. Wang, and C. Feng, “Convergence analysis of general neural networks under almost periodic stimuli,” International Journal of Circuit Theory and Applications, vol. 37, no. 6, pp. 723–750, 2009. View at Publisher · View at Google Scholar · View at Scopus
11. Y. Liu and Z. You, “Multi-stability and almost periodic solutions of a class of recurrent neural networks,” Chaos, Solitons and Fractals, vol. 33, no. 2, pp. 554–563, 2007. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet
12. C. Y. He, Almost Periodic Differential Equation, Higher Education, Beijing, China, 1992.
13. H. Zhenkun, F. Chunhua, and S. Mohamad, “Multistability analysis for a general class of delayed Cohen-Grossberg neural networks,” Information Sciences, vol. 187, pp. 233–244, 2012.
14. H. Zhenkun and Y. N. Raffoul, “Biperiodicity in neutral-type delayed difference neural networks,” Advances in Difference Equations, vol. 2012, article 5, 2012.