[1] Hopfield J. Neural networks and physical systems with emergent collective computational abilities. Proc National Academy Sci USA, 1982, 79: 2554-2562
[2] Kamp Y, Hasler M. Recursive Neural Networks for Associative Memory. New York: Wiley, 1990
[3] Gopalsamy K, He X. Stability in asymmetric Hopfield nets with transmission delays. Physica D, 1994, 76: 344-358
[4] Jiang H, Li Z, Teng Z. Boundedness and stability for nonautonomous cellular neural networks with delay. Phys Lett A, 2003, 306: 313-325
[5] Gopalsamy K. Stability of artificial neural networks with impulses. Appl Math Comput, 2004, 154: 783-813
[6] Wu Z, Park J H, Su H, Chu J. Discontinuous Lyapunov functional approach to synchronization of time-delay neural networks using sampled-data. Nonlinear Dyn, 2012, 69(4): 2021-2030
[7] Lisena B. Exponential stability of Hopfield neural networks with impulses. Nonlinear Anal RWA, 2011, 12: 1923-1930
[8] Wu Z, Park J H. Synchronization of discrete-time neural networks with time delays subject to missing data. Neurocomputing, 2013, 122: 418-424
[9] Fang M, Park J H. Non-fragile synchronization of neural networks with time-varying delay and randomly occurring controller gain fluctuation. Appl Math Comp, 2013, 219: 8009-8017
[10] Cohen M A, Grossberg S. Absoulute stability of global pattern formation and parallel memory storage by competetive neural networks. IEEE Trans Syst Man Cybern, 1983, 13: 815-826
[11] Ye H, Michel A N, Wang K. Qualitative analysis of Cohen-Grossberg neural networks with multiple delays. Phys Rev E, 1995, 51: 2611-2618
[12] Chen T, Rong L. Delay-independent stability analysis of Cohen-Grossberg neural networks. Phys Lett A, 2003, 317: 436-449
[13] Gan Q. Adaptive synchronization of Cohen-Grossberg neural networks with unknown parameters and mixed time-varying delays. Commun Nonlinear Sci Numer Simulat, 2012, 17: 3040-3049
[14] Gan Q. Exponential synchronization of stochastic Cohen-Grossberg neural networks with mixed time-varying delays and reaction-diffusion via periodically intermittent control. Neural Netw, 2012, 31: 12-21
[15] Arik S, Orman Z. Global stability analysis of Cohen-Grossberg neural networks with time varying delays. Phys Lett A, 2005, 341: 410-421
[16] Liu J. Global exponential stability of Cohen-Grossberg neural networks with time-varying delays. Chaos Soliton Fract, 2005, 26: 935-945
[17] Jiang H, Cao J, Teng Z. Dynamics of Cohen-Grossberg neural networks with time-varying delays. Phys Lett A, 2006, 354: 414-422
[18] Bowong S. Stability analysis for the synchronization of chaotic systems with different order: Application to secure communications. Phys Lett A, 2004, 326: 102-113
[19] Feki M. An adaptive chaos synchronization scheme applied to secure communications. Chaos Soliton Fract, 2003, 18: 141-148
[20] Konnur R. Synchronization-based approach for estimating all model parameters of chaotic systems. Phys Rev E, 2003, 67: 027204
[21] Rangarajan G, Ding M. Stability of synchronized chaos in coupled dynamical systems. Phys Lett A, 2002, 296: 204-209
[22] Hu M, Xu Z. Adaptive feedback controller for projective synchronization. Nonlinear Anal RWA, 2008, 9: 1253-1260
[23] Hu C, Jiang H, Teng Z. Fuzzy impulsive control and synchronization of general chaotic system. Acta Appl Math, 2010, 109: 463-485
[24] Yang Z, Xu D. Stability analysis and design of impulsive control systems with time delay. IEEE Tran Automat Control, 2007, 52: 1448-1454
[25] Zochowski M. Intermittent dynamical control. Physical D, 2000, 145: 181-190
[26] Yu J, Hu C, Jiang H, Teng Z. Exponential synchronization of Cohen-Grossberg neural networks via periodically intermittent control. Neurocomputing, 2011, 74: 1776-1782
[27] Cao J, Lu J. Adaptive synchronization of neural networks with or without time-varying delays. Chaos, 2006, 16: 013133, 6 pages
[28] Cheng C, Liao T, Yan J, Hwang C. Exponential synchronization of a class of neural networks with time-varying delays. IEEE Trans Syst Man Cybern, 2006, 36: 209-215
[29] Cui B, Lou X. Synchronization of chaotic recurrent neural networks with time-varying delays using nonlinear feedback control. Chaos Soliton Fract, 2009, 39: 288-294
[30] Gan Q, Xu R, Kang X. Synchronization of chaotic neural networks with mixed time delays. Commun Nonlinear Sci Numer Simulat, 2011, 16: 966-974
[31] Wang K, Teng Z, Jiang H. Adaptive synchronization of neural networks with time-varying delay and distributed delay. Physica A, 2008, 387: 631-642
[32] Jeong S C, Ji D H, Park J H, Won S C. Adaptive synchronization for uncertain chaotic neural networks with mixed time delays using fuzzy disturbance observer. Appl Math Comp, 2013, 219: 5984-5995
[33] Bai C. Global exponential stability and existence of periodic solution of Cohen-Grossberg type neural networks with delays and impulses. Nonlinear Anal RWA, 2008, 9: 747-761
[34] Li J, Yan J, Jia X. Dynamical analysis of Cohen-Grossberg neural networks with time-delays and impulses. Comput Math Appl, 2009, 58: 1142-1151
[35] Sheng L, Yang H. Exponential synchronization of a class of neural networks with mixed time-varying delays and impulsive effects. Neurocomputing, 2008, 71: 3666-3674
[36] Feng X, Zhang F, Wang W. Global exponential synchronization of delayed fuzzy cellular neural networks with impulsive effects. Chaos Soliton Fract, 2011, 44: 9-16
[37] Yang Y, Cao J. Exponential lag synchronization of a class of chaotic delayed neural networks with impulsive effects. Physica A, 2007, 386: 492-502
[38] Cheng C, Liao T, Hwang C. Exponential synchronization of a class of chaotic neural networks. Chaos Soliton Fract, 2005, 24: 197-206
[39] Zhu Q, Cao J. Adaptive synchronization of chaotic Cohen-Grossberg neural networks with mixed time delays. Nonlinear Dyn, 2010, 61: 517-534
[40] Chen Z. Complete synchronization for impulsive Cohen-Grossberg neural networks with delay under noise perturbation. Chaos Soliton Fract, 2009, 42: 1664-1669