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has been cited by the following article:

• TITLE: Chaotic Behavior of a Class of Neural Network with Discrete Delays

  AUTHORS: S. Mandal, D. Jana, A. B. Roy, N. C. Majee

  KEYWORDS: Neuronal Gain; Chaos; Lyapunov Exponent; Jacobian Matrix

  JOURNAL NAME: International Journal of Modern Nonlinear Theory and Application, Vol.2 No.1A, March 29, 2013

  ABSTRACT: In this paper, the effect of neuronal gain in discrete delayed neural network model is investigated. It is observed that such neural networks become highly chaotic due to the presence of high neuronal gain. On the basis of the largest Lyapunov exponent and largest eigenvalue of Jacobian matrix, chaos analysis has been done. Finally, some numerical simulations are presented to justify our results.