1.

Cochocki A, Unbehauen R (1993) Neural networks for optimization and signal processing. Wiely, New York

Google Scholar2.

Li X (2010) Exponential stability of Hopfield neural networks with time-varying delays via impulsive control. Math Method Appl Sci 33(13):1596–1604

3.

Liao X, Chen G, Sanchez EN (2002a) LMI-based approach for asymptotic stability analysis of delayed neural networks. IEEE Trans Circ Syst I 49(7):1033–1039

4.

Zhang J (2002) Absolutely exponential stability in delayed cellular neural networks. Int J Circ Theory Appl 30(4):395–409

5.

Huang G, Cao J (2010) Delay-dependent multistability in recurrent neural networks. Neural Netw 23(2):201–209

6.

Duan C, Song Q (2010) Boundedness and stability for discrete—time delayed neural network with complex-valued linear threshold neuraons. Discret Dyn Nat Soc Article ID:368379:1-19

7.

Hu J, Wang J (2012) Global stability of complex-valued neural networks with time-delays. IEEE Trans Neural Netw Learn Syst 23(6):853–865

8.

Zhou B, Song Q (2013) Boundedness and complete stability of complex-valued neural networks with time delay. IEEE Trans Neural Netw Learn Syst. 24(8):1227–1238

9.

Bohner M, Rao VSH, Sanyal S (2011) Global stability of complex-valued neural networks on time scales. Differ Equ Dyn Syst 19(1&2):3–11

10.

Chen X, Song Q (2013) Global stability of complex-valued neural networks with both leakage time delay and discrete time delay on time scales. Neurocomputing. 121:254–264

11.

Mathews JH, Howell RW (1977) Complex analysis for mathematics and engineering. Jones and Bartlett, Boston

Google Scholar12.

Arik S (2005) Global asymptotic stability analysis of bidirectional associative memory neural networks with time delays. IEEE Trans Neural Netw 16(3):580–586

13.

Liu SG, Martin RR, Wu M, Tang ML (2008) Global exponential stability of bidirectional associative memory neural networks with time delays. IEEE Trans Neural Netw 19(3):397–406

14.

Foss J, Longtin A, Mensour B, Milton J (1996) Multistability and delayed recurrent loops. Phys Rev Lett 76:708–711

CrossRefGoogle Scholar15.

Kaslik E, Sivasundaram S (2011) Multistability in impulsive hybrid Hopfield neural networks with distributed delays. Nonlinear Anal 12:1640–1649

CrossRefMATHMathSciNetGoogle Scholar16.

Kaslik E, Sivasundaram S (2011) Impulsive hybrid discrete-time Hopfield neural networks with delays and multistability analysis. Neural Netw 24(4):370–377

17.

Cheng CY, Lin KH, Shih CW (2006) Multistability in recurrent neural networks. SIAM J Appl Math 66(4):1301–1320

18.

Cheng CY, Lin KH, Shih CW (2007) Multistability and convergence in delayed neural networks. Phys D 225(1):61–74

19.

Huang G, Cao J (2008) Multistability of neural networks with discontinuous activation functions. Commun Nonlinear Sci Numer Simul 13(10):2279–2289

20.

Zeng Z, Huang T, Zheng WX (2010) Multistability of recurrent neural networks with time-varying delays and the piecewise linear activation function. IEEE Trans Neural Netw 21(8):1371–1377

21.

Zeng Z, Zheng WX (2012) Multistability of neural networks with time-varying delays and concave–convex characteristics. IEEE Trans Neural Netw Learn Syst 23(2):293–305

22.

Zeng Z, Zheng WX (2013) Multistability of two kinds of recurrent neural networks with activation functions symmetrical about the origin on the phase plane. IEEE Trans Neural Netw Learn Syst 24(11):1749–1762

23.

Bao G, Zeng Z (2013) Multistability of periodic delayed recurrent neural network with memristors. Neural Comput Appl 23:1963–1967

CrossRefGoogle Scholar24.

Yi Z, Tan KK (2004) Multistability of discrete-time recurrent neural networks with unsaturating piecewise linear activation functions. IEEE Trans Neural Netw 15(2):329–336

25.

Zhang L, Yi Z, Yu J, Heng PA (2009) Some multistability properties of bidirectional associative memory recurrent neural networks with unsaturating piecewise linear transfer functions. Neurocomputing 72(16–18):3809–3817

CrossRefGoogle Scholar26.

Cao J, Feng G, Wang Y (2008) Multistability and multiperiodicity of delayed Cohen–Grossberg neural networks with a general class of activation functions. Phys D 237:1734–1749

CrossRefMATHMathSciNetGoogle Scholar27.

Huang G, Cao J (2008) Multistability in bidirectional associative memory neural networks. Phys Lett A 372(16):2842–2854

CrossRefMATHGoogle Scholar28.

Morita M (1993) Associative memory with nonmonotone dynamics. Neural Netw 6(1):115–126

CrossRefGoogle Scholar29.

Wang L, Lu W, Chen T (2009) Multistability and new attraction basins of almost periodic solutions of delayed neural networks. IEEE Trans Neural Netw 20(10):1581–1593

CrossRefGoogle Scholar30.

Yi Z, Tan K, Lee T (2003) Multistability analysis for recurrent neural networks with unsaturating piecewise linear transfer functions. Neural Comput 15(3):639–662

CrossRefMATHGoogle Scholar31.

Chen B, Wang J (2007) Global exponential periodicity and global exponential stability of a class of recurrent neural networks with various activation functions and time-varying delays. Neural Netw 20(10):1067–1080

CrossRefMATHGoogle Scholar32.

Song Q (2008) Exponential stability of recurrent neural networks with both time-varying delays and general activation functions via LMI approach. Neurocomputing 71(13–15):2823–2830

CrossRefGoogle Scholar33.

Zeng Z, Wang J (2006) Global exponential stability of recurrent neural networks with time-varying delays in the presence of strong external stimuli. Neural Netw 19(10):1528–1537

CrossRefMATHGoogle Scholar34.

Long S, Xu D (2008) Delay-dependent stability analysis for impulsive neural networks with time varying delays. Neurocomputing 71(7–9):1705–1713

CrossRefGoogle Scholar35.

Xu D, Yang Z (2005) Impulsive delay differential inequality and stability of neural networks. J Math Anal Appl 305(1):107–120

CrossRefMATHMathSciNetGoogle Scholar36.

Lakshmikantham V, Bainov DD, Simeonov PS (1989) Theory of impulsive differential equations. World Scientific, Singapore

CrossRefMATHGoogle Scholar37.

Ahmed S, Stamova IM (2008) Global exponentially stability for impulsive cellular neural networks with time-varying delays. Nonlinear Anal 69(3):786–795

38.

Rakkiyappan R, Balasubramaniam P, Cao J (2010) Global exponential stability results for neutral-type impulsive neural networks. Nonlinear Anal 11(1):122–130

CrossRefMATHMathSciNetGoogle Scholar39.

Zhang Y, Sun J (2005) Stability of impulsive neural networks with time delays. Phys Lett A 348(1–2):44–50

MATHGoogle Scholar40.

Xu BJ, Liu XZ, Liao XX (2004) Absolute stability of Lurie systems with impulsive effects. Comput Math Appl 47(2–3):419–425

CrossRefMATHMathSciNetGoogle Scholar41.

Xia Y, Cao J, Cheng SS (2007) Global exponential stability of delayed cellular neural networks with impulses. Neurocomputing 70(13–15):2495–2501

CrossRefGoogle Scholar42.

Song X, Xin X, Huang W (2012) Exponential stability of delayed and impulsive cellular neural networks with partially Lipschitz continuous activation functions. Neural Netw 29–30:80–90

CrossRefGoogle Scholar43.

Jiang F, Shen J, Li X (2013) The LMI method for stationary oscillation of interval neural networks with three neuron activations under impulsive effects. Nonlinear Anal 14(3):1404–1416

CrossRefMATHMathSciNetGoogle Scholar44.

Berman A, Plemmons RJ (1979) Nonnegative matirces in mathematical sciences. Academic Press, New York

Google Scholar45.

Li X, Fu X, Balasubramaniam P, Rakkiyappan R (2010) Existence, uniqueness and stability analysis of recurrent neural networks with time delay in the leakage term under impulsive perturbations. Nonlinear Anal 11(5):4092–4108

CrossRefMATHMathSciNetGoogle Scholar