Papers

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2018
A. L. P. Livorati, Kroetz, T., Dettmann, C. P., Caldas, I. L., and Leonel, E. D., “Transition from normal to ballistic diffusion in a one-dimensional impact system”, Physical Review E, vol. 97, no. 3, 2018. (108 KB)
2019
P. R. Protachevicz, Borges, F. S., Lameu, E. L., Ji, P., Iarosz, K. C., Kihara, A. H., Caldas, I. L., Szezech, J. D., Baptista, M. S., Macau, E. E. N., Antonopoulos, C. G., Batista, A. Marcos, and Kurths, J., “Bistable Firing Pattern in a Neural Network Model”, Frontiers in Computational Neuroscience, vol. 13, no. 19, 2019. (3.79 MB)
P. R. Protachevicz, Borges, F. S., Lameu, E. L., Ji, P., Iarosz, K. C., Kihara, A. H., Caldas, I. L., Szezech, J. D., Baptista, M. S., Macau, E. E. N., Antonopoulos, C. G., Batista, A. Marcos, and Kurths, J., “Bistable Firing Pattern in a Neural Network Model”, Frontiers in Computational Neuroscience, vol. 13, no. 19, 2019. (3.79 MB)
2020
P. R. Protachevicz, Iarosz, K. C., Caldas, I. L., Antonopoulos, C. G., Batista, A. Marcos, and Kurths, J., “Influence of Autapses on Synchronization in Neural Networks With Chemical Synapses”, Frontiers in Systems Neuroscience, vol. 14, p. 604563, 2020. (618.64 KB)
P. R. Protachevicz, Borges, F. S., Iarosz, K. C., Baptista, M. S., Lameu, E. L., Hansen, M., Caldas, I. L., Szezech, J. D., Batista, A. Marcos, and Kurths, J., “Influence of Delayed Conductance on Neuronal Synchronization”, Frontiers in Physiology, vol. 11, p. 1053, 2020. (947.18 KB)
F. S. Borges, Protachevicz, P. R., Pena, R. F. O., Lameu, E. L., Higa, G. S. V., Kihara, A. H., Matias, F. S., Antonopoulos, C. G., de Pasquale, R., Roque, A. C., Iarosz, K. C., Ji, P., and Batista, A. Marcos, “Self-sustained activity of low firing rate in balanced networks”, Physica A: Statistical Mechanics and its Applications, vol. 537, p. 122671, 2020. (1.85 MB)
2021
P. R. Protachevicz, Hansen, M., Iarosz, K. C., Caldas, I. L., Batista, A. Marcos, and Kurths, J., “Emergence of Neuronal Synchronisation in Coupled Areas”, Frontiers in Computational Neuroscience, vol. 15, p. 663408, 2021. (4.72 MB)
2023
F. S. Borges, Gabrick, E. C., Protachevicz, P. R., Higa, G. S. V., Lameu, E. L., Rodriguez, P. X. R., Ferraz, M. S. A., Szezech, J. D., Batista, A. M., and Kihara, A. H., “Intermittency properties in a temporal lobe epilepsy model”, Epilepsy & Behavior, vol. 139, p. 109072, 2023. (3.49 MB)
M. R. Sales, Mugnaine, M., Szezech, J. D., Viana, R. L., Caldas, I. L., Marwan, N., and Kurths, Y., “Stickiness and recurrence plots: An entropy-based approach”, Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 33, no. 3, p. 033140, 2023. (5.19 MB)
2024
E. C. Gabrick, Brugnago, E. L., de Moraes, A. L. R., Protachevicz, P. R., da Silva, S. T., Borges, F. S., Caldas, I. L., Batista, A. M., and Kurths, ürgen, “Control, bi-stability, and preference for chaos in time-dependent vaccination campaign”, Chaos: An Interdisciplinary Journal of Nonlinear Science, no. 9, 2024. (6.43 MB)
A. P. S. Koltun, Trobia, J., Batista, A. M., Lenzi, E. K., Santos, M. S., Borges, F. S., Iarosz, K. C., Caldas, I. L., and Gabrick, E. C., “Fractional Tumour-Immune Model with Drug Resistance”, Brazilian Journal of Physics, no. 2101515, 2024. (1.44 MB)
E. C. Gabrick, Brugnago, E. L., de Souza, S. L. T., Iarosz, K. C., Szezech, J. D., Viana, R. L., Caldas, I. L., Batista, A. M., and Kurths, ürgen, “Impact of periodic vaccination in SEIRS seasonal model”, Chaos: An Interdisciplinary Journal of Nonlinear Science, no. 1, 2024. (3.96 MB)
D. L. M. Souza, Borges, F. S., Gabrick, E. C., Bentivoglio, L. E., Protachevicz, P. R., Santos, Vdos, Viana, R. L., Caldas, I. L., Iarosz, K. C., Batista, A. M., and Kurths, J., “Spiral wave dynamics in a neuronal network modelAbstract”, Journal of Physics: Complexity, no. 2, p. 025010, 2024. (229.07 KB)
A. S. Reis, Santos, Ldos, Jr, A. Cunha, Konstantyner, T. C. R. O., and Macau, E. E. N., “Unravelling COVID-19 waves in Rio de Janeiro city: Qualitative insights from nonlinear dynamic analysis”, Infectious Disease Modelling, no. 2, pp. 314 - 328, 2024. (1.2 MB)
S. T. da Silva, Gabrick, E. C., Protachevicz, P. R., Iarosz, K. C., Caldas, I. L., Batista, A. M., and Kurths, J., “When climate variables improve the dengue forecasting: a machine learning approachAbstract”, The European Physical Journal Special Topics, 2024. (999.54 KB)

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