1. [1] D. Gulick, Encounters with chaos: McGraw-Hill, 1992.
2. [2] M. Ausloos, and M. Dirickx, The logistic map and the route to chaos: from the beginnings to modern applications: Springer Science & Business Media, 2006.
3. [3] B. Ibarz, J. M. Casado, and M. A. Sanjuán, “Map-based models in neuronal dynamics,” Physics Reports, vol. 501, no. 1, pp. 1-74, 2011.
4. [4] E. M. Izhikevich, “Which model to use for cortical spiking neurons?,” IEEE transactions on neural networks, vol. 15, no. 5, pp. 1063-1070, 2004.
5. [5] M. Courbage, and V. I. Nekorkin, “Map based models in neurodynamics,” International Journal of Bifurcation and Chaos, vol. 20, no. 06, pp. 1631-1651, 2010.
6. [6] F. Mukhamedov, and W. N. F. A. W. Rozali, "On a p-adic cubic generalized logistic dynamical System." p. 012012.
7. [7] N. K. Pareek, V. Patidar, and K. K. Sud, “Image encryption using chaotic logistic map,” Image and vision computing, vol. 24, no. 9, pp. 926-934, 2006.
8. [8] G. S. Bajestani, A. Sheikhani, S. M. R. H. Golpayegani, F. Ashrafzadeh, and P. Hebrani, “A New Approach for Solving Nonlinear Differential Equations with Poincare Map and Poincare Section,” Majlesi Journal of Electrical Engineering, vol. 10, no. 3, pp. 33, 2016.
9. [9] M. Girardi-Schappo, M. Tragtenberg, and O. Kinouchi, “A brief history of excitable map-based neurons and neural networks,” Journal of neuroscience methods, vol. 220, no. 2, pp. 116-130, 2013.
10. [10] G. Sadeghi Bajestani, A. Sheikhani, S. M. R. Hashemi Golpayegani, F. Ashrafza-deh, and P. Hebrani, “A systematic review, on the application of quantitative EEG for characterizing autistic brain,” Modern Rehabilitation, vol. 9, no. 6, pp. 10-28, 2016.
11. [11] A. L. Lloyd, “The coupled logistic map: a simple model for the effects of spatial heterogeneity on population dynamics,” Journal of Theoretical Biology, vol. 173, no. 3, pp. 217-230, 1995.
12. [12] M. J. Feigenbaum, “Quantitative universality for a class of nonlinear transformations,” Journal of statistical physics, vol. 19, no. 1, pp. 25-52, 1978.
13. [13] D. S. M. R. H. Golpaygani, Chaos and its application Amirkabir University of Technology, 2015.
14. [14] T.-Y. Li, and J. A. Yorke, “Period three implies chaos,” The American Mathematical Monthly, vol. 82, no. 10, pp. 985-992, 1975.
15. [15] R. C. Hilborn, Chaos and nonlinear dynamics: an introduction for scientists and engineers: Oxford University Press on Demand, 2000.
16. [16] J. A. Gallas, and H. E. Nusse, “Periodicity versus chaos in the dynamics of cobweb models,” Journal of Economic Behavior & Organization, vol. 29, no. 3, pp. 447-464, 1996.
17. [17] A. Chen, J. Lu, J. Lü, and S. Yu, “Generating hyperchaotic Lü attractor via state feedback control,” Physica A: Statistical Mechanics and its Applications, vol. 364, pp. 103-110, 2006.
18. [18] M. Özer, A. Čenys, Y. Polatoglu, G. Hacibekiroglu, E. Akat, A. Valaristos, and A. Anagnostopoulos, “Bifurcations of Fibonacci generating functions,” Chaos, Solitons & Fractals, vol. 33, no. 4, pp. 1240-1247, 2007.
19. [19] S. Schinkel, N. Marwan, and J. Kurths, “Brain signal analysis based on recurrences,” Journal of Physiology-Paris, vol. 103, no. 6, pp. 315-323, 2009.
20. [20] H. Poincaré, “Sur le probleme des trois corps et les équations de la dynamique,” Acta mathematica, vol. 13, no. 1, pp. A3-A270, 1890.
21. [21] G. Sadeghi Bajestani, A. Sheikhani, M. R. Hashemi Golpayegani, F. Ashrafzadeh, and P. Hebrani, “A Hierarchical Model for Autism Spectrum Disorder (HMASD),” Razavi Int J Med, vol. 4, no. 3, pp. e39107, 2016.
22. [22] G. Sadeghi Bajestani, M. R. Hashemi Golpayegani, A. Sheikhani, and F. Ashrafzadeh, “Poincaré Section analysis of the electroencephalogram in Autism Spectrum Disorder using Complement Plots,” Kybernetes, vol. 46, no. 2, 2017.
23. [23] J.-P. Eckmann, S. O. Kamphorst, and D. Ruelle, “Recurrence plots of dynamical systems,” EPL (Europhysics Letters), vol. 4, no. 9, pp. 973, 1987.
24. [24] N. Marwan, and A. Meinke, “Extended recurrence plot analysis and its application to ERP data,” International Journal of Bifurcation and Chaos, vol. 14, no. 02, pp. 761-771, 2004.
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