Áreas de Interesse: |
DA CRUZ, F.E.L., FLAUZINO, J.V.V., LOPES, S.R.; DE LIMA PRADO, T. Analytical results in calculating the entropy of recurrence microstates. PHYSICA A: STATISTICAL MECHANICS AND ITS APPLICATIONS, p.129629. 2024 DA CRUZ, FELIPE EDUARDO LOPES ; CORSO, GILBERTO ; DOS SANTOS LIMA, GUSTAVO ZAMPIER ; LOPES, SERGIO ROBERTO ; DE LIMA PRADO, THIAGO . Statistical inference for microstate distribution in recurrence plots. PHYSICA D-NONLINEAR PHENOMENA, v. 459, p. 134048, 2024. |
DE LIMA PRADO, THIAGO; MACHADO, VANDERTONE SANTOS ; CORSO, GILBERTO ; SANTOS LIMA, GUSTAVO ZAMPIER DOS ; LOPES, SERGIO ROBERTO . How to compute suitable vicinity parameter and sampling time of recurrence analysis. NONLINEAR DYNAMICS (DORDRECHT. ONLINE), v. 112, p. 1141-1152, 2023. MARGHOTI, G., FERRARI, F. A. S., VIANA, R. L., LOPES, S. R., & PRADO, T. D. L.. Coupling Dependence on Chaos Synchronization Process in a Network of Rulkov Neurons. INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS 33, no. 11 (2023). DA CRUZ, FELIPE EDUARDO LOPES ; LOPES, SERGIO ROBERTO ; DE LIMA PRADO, THIAGO ; PRADO, T. L. . How to compute the minimum diagonal length of recurrence quantifiers to optimize their sensitivity to deterministic and stochastic properties. CHAOS SOLITONS & FRACTALS, v. 173, p. 113747, 2023. CAMBRAIA, E.B.S.A. ; FLAUZINO, J.V.V. ; PRADO, T.L. ; LOPES, S.R. . Dependence on the local dynamics of a network phase synchronization process. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, v. 619, p. 128750, 2023. |
MARGHOTI, GABRIEL ; DE LIMA PRADO, THIAGO ; CONTE, ARTURO CAGNATO ; FERRARI, FABIANO ALAN SERAFIM ; LOPES, SERGIO ROBERTO . Intermittent chimera-like and bi-stable synchronization states in network of distinct Izhikevich neurons. CHAOS SOLITONS & FRACTALS, v. 162, p. 112401, 2022. FROGUEL, LUCAS BELASQUE ; DE LIMA PRADO, THIAGO ; CORSO, GILBERTO ; DOS SANTOS LIMA, GUSTAVO ZAMPIER ; LOPES, SERGIO ROBERTO . Efficient computation of recurrence quantification analysis via microstates. APPLIED MATHEMATICS AND COMPUTATION, v. 428, p. 127175, 2022. PRADO, THIAGO LIMA; BOARETTO, BRUNO RAFAEL REICHERT ; CORSO, GILBERTO ; DOS SANTOS LIMA, GUSTAVO ZAMPIER ; KURTHS, JÜRGEN ; LOPES, SERGIO ROBERTO . A direct method to detect deterministic and stochastic properties of data. NEW JOURNAL OF PHYSICS, v. 24, p. 033027, 2022. |
BOARETTO, B. R. R. ; BUDZINSKI, R. C. ; ROSSI, K. L. ; MANCHEIN, C. ; PRADO, T. L. ; FEUDEL, U. ; LOPES, S. R. . Bistability in the synchronization of identical neurons. PHYSICAL REVIEW E, v. 104, p. 024204, 2021. BOARETTO, B. R. R. ; BUDZINSKI, R. C. ; ROSSI, K. L. ; PRADO, T. L. ; LOPES, S. R. ; MASOLLER, C. . Discriminating chaotic and stochastic time series using permutation entropy and artificial neural networks. Scientific Reports, v. 11, p. 1-10, 2021. PRADO, T. L.; MACAU, E. E. N. ; LOPES, S. R. . Detection of data corruption in stationary time series using recurrence microstates probabilities. THE EUROPEAN PHYSICAL JOURNAL. SPECIAL TOPICS (ONLINE), v. 230, p. 1, 2021. ROSSI, K. L. ; BUDZINSKI, R. C. ; BOARETTO, B. R. R. ; PRADO, T. L. ; FEUDEL, U. ; LOPES, S. R. . Phase-locking intermittency induced by dynamical heterogeneity in networks of thermosensitive neurons. CHAOS (WOODBURY, N.Y. ONLINE), v. 31, p. 083121, 2021. BOARETTO, B.R.R. ; MANCHEIN, C. ; PRADO, T.L. ; LOPES, S.R. . The role of individual neuron ion conductances in the synchronization processes of neuron networks. NEURAL NETWORKS, v. 137, p. 97-105, 2021. CORSO, GILBERTO ; DOS SANTOS LIMA, GUSTAVO ZAMPIER ; LOPES, SERGIO ROBERTO ; PRADO, THIAGO LIMA ; CORREA, MARCIO ASSOLIN ; BOHN, FELIPE . Maximum entropy in the dimensional transition of the magnetic domain wall dynamics. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, v. 568, p. 125730, 2021. BOARETTO, BRUNO R. R. ; BUDZINSKI, ROBERTO C. ; ROSSI, KALEL L. ; PRADO, THIAGO L. ; LOPES, SERGIO R. ; MASOLLER, CRISTINA . Evaluating Temporal Correlations in Time Series Using Permutation Entropy, Ordinal Probabilities and Machine Learning. Entropy, v. 23, p. 1025, 2021. |
LOPES, S.R. ; PRADO, T.L. ; CORSO, G. ; DOS S. LIMA, G.Z. ; KURTHS, J. . Parameter-free quantification of stochastic and chaotic signals. CHAOS SOLITONS & FRACTALS, v. 133, p. 109616, 2020. PRADO, T. L.; CORSO, G. ; DOS SANTOS LIMA, G. Z. ; BUDZINSKI, R. C. ; BOARETTO, B. R. R. ; FERRARI, F. A. S. ; MACAU, E. E. N. ; LOPES, S. R. . Maximum entropy principle in recurrence plot analysis on stochastic and chaotic systems. CHAOS, v. 30, p. 043123, 2020. BUDZINSKI, R. C. ; ROSSI, K. L. ; BOARETTO, B. R. R. ; PRADO, T. L. ; LOPES, S. R. . Synchronization malleability in neural networks under a distance-dependent coupling. Physical Review Research, v. 2, p. 043309, 2020. |
DOS SANTOS LIMA, GUSTAVO ZAMPIER ; LOBAO-SOARES, BRUNO ; CORSO, GILBERTO ; BELCHIOR, HINDIAEL ; LOPES, SERGIO ROBERTO ; DE LIMA PRADO, THIAGO ; NASCIMENTO, GEORGE ; FRANÇA, ARTHUR CAVALCANTI DE ; FONTENELE-ARAÚJO, JOHN ; IVANOV, PLAMEN CH. . Hippocampal and cortical communication around micro-arousals in slow-wave sleep. Scientific Reports, v. 9, p. 5876, 2019. BUDZINSKI, R.C. ; BOARETTO, B.R.R. ; PRADO, T.L. ; LOPES, S.R. . Synchronization domains in two coupled neural networks. Communications in Nonlinear Science and Numerical Simulation, v. 75, p. 140-151, 2019. BUDZINSKI, R.C. ; BOARETTO, B.R.R. ; PRADO, T.L. ; LOPES, S.R. . Temperature dependence of phase and spike synchronization of neural networks. CHAOS SOLITONS & FRACTALS, v. 123, p. 35-42, 2019. FERRARI, FABIANO A. S. ; PRADO, THIAGO L. ; DA SILVA, THIAGO F. P. ; DOS SANTOS, CLARA M. ; SANTOS, MOISES S. ; DE SOUZA, SILVIO L. T. ; IAROSZ, KELLY C. ; SZEZECH, JOSÉ D. ; BATISTA, ANTONIO M. . Numerical simulations of the linear drift memristor model. European Physical Journal Plus, v. 134, p. 102, 2019. BOARETTO, B. R. R. ; BUDZINSKI, R. C. ; PRADO, T. L. ; LOPES, S. R. . Suppression of Phase Synchronization in Scale-Free Neural Networks Using External Pulsed Current Protocols. Mathematical and Computational Applications, v. 24, p. 46, 2019. BUDZINSKI, ROBERTO C. ; BOARETTO, BRUNO RAFAEL REICHERT ; PRADO, THIAGO L. ; LOPES, SERGIO ROBERTO . Investigation of Details in the Transition to Synchronization in Complex Networks by Using Recurrence Analysis. Mathematical and Computational Applications, v. 24, p. 42, 2019. DA SILVA, S. T. ; PRADO, T. L. ; LOPES, S. R. ; VIANA, R. L. . Correlated Brownian motion and diffusion of defects in spatially extended chaotic systems. CHAOS (WOODBURY, N.Y. ONLINE), v. 29, p. 071104, 2019. BOARETTO, B.R.R. ; BUDZINSKI, R.C. ; PRADO, T.L. ; KURTHS, J. ; LOPES, S.R. . Protocol for suppression of phase synchronization in Hodgkin-Huxley-type networks. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, v. 528, p. 121388, 2019. BUDZINSKI, R. C. ; BOARETTO, B. R. R. ; PRADO, T. L. ; LOPES, S. R. . Phase synchronization and intermittent behavior in healthy and Alzheimer-affected human-brain-based neural network. PHYSICAL REVIEW E, v. 99, p. 022402, 2019. BOARETTO, B. R. R. ; BUDZINSKI, R. C. ; PRADO, T. L. ; LOPES, S. R. . Mechanism for explosive synchronization of neural networks. PHYSICAL REVIEW E, v. 100, p. 052301, 2019. BUDZINSKI, R. C. ; BOARETTO, B. R. R. ; PRADO, T. L. ; VIANA, R. L. ; LOPES, S. R. . Synchronous patterns and intermittency in a network induced by the rewiring of connections and coupling. CHAOS (WOODBURY, N.Y. ONLINE), v. 29, p. 123132, 2019. |
BUDZINSKI, R.C. ; BOARETTO, B.R.R. ; ROSSI, K.L. ; PRADO, T.L. ; KURTHS, J. ; LOPES, S.R. . Nonstationary transition to phase synchronization of neural networks induced by the coupling architecture. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, v. 507, p. 321-334, 2018. PRADO, T.L.; LIMA, G. Z. S. ; LOBAO-SOARES, B. ; NASCIMENTO, G. C. ; CORSO, G. ; FONTENELE-ARAUJO, J. ; KURTHS, J. ; LOPES, S.R. . Optimizing the detection of nonstationary signals by using recurrence analysis. CHAOS, v. 28, p. 085703, 2018. CORSO, GILBERTO ; PRADO, T.L. ; LIMA, G. Z. S. ; KURTHS, J. ; LOPES, S. R. . Quantifying entropy using recurrence matrix microstates. CHAOS, v. 28, p. 083108, 2018. BOARETTO, B. R. R. ; BUDZINSKI, R. C. ; PRADO, T.L. ; KURTHS, J. ; LOPES, S. R. . Neuron dynamics variability and anomalous phase synchronization of neural networks. CHAOS, v. 28, p. 106304, 2018. |
LIMA, GUSTAVO ZAMPIER DOS SANTOS ; LOPES, SERGIO ROBERTO ; PRADO, THIAGO LIMA ; LOBAO-SOARES, BRUNO ; DO NASCIMENTO, GEORGE C. ; FONTENELE-ARAUJO, JOHN ; CORSO, GILBERTO . Predictability of arousal in mouse slow wave sleep by accelerometer data. PLoS One, v. 12, p. e0176761, 2017. BOARETTO, B.R.R. ; BUDZINSKI, R.C. ; PRADO, T.L. ; KURTHS, J. ; LOPES, S.R. . Suppression of anomalous synchronization and nonstationary behavior of neural network under small-world topology. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, v. 497, p. 126-138, 2017. BUDZINSKI, R. C. ; BOARETTO, B. R. R. ; PRADO, T. L. ; LOPES, S. R. . Detection of nonstationary transition to synchronized states of a neural network using recurrence analyses. PHYSICAL REVIEW E, v. 96, p. 012320, 2017. |
KRÜGER, TALINE SUELLEN ; GALUZIO, PAULO PANEQUE ; PRADO, THIAGO DE LIMA ; VIANA, RICARDO LUIZ ; SZEZECH, JOSÉ DANILO ; LOPES, SERGIO ROBERTO . Mechanism for stickiness suppression during extreme events in Hamiltonian systems. Physical Review E (Statistical, Nonlinear, and Soft Matter Physics), v. 91, p. 092903, 2015. |
PRADO, T. L.; GALUZIO, P. P. ; LOPES, S. R. ; VIANA, R. L. . Spatial recurrence analysis: A sensitive and fast detection tool in digital mammography. Chaos (Woodbury, N.Y.), v. 24, p. 013106, 2014. PRADO, T. DE L.; LOPES, S. R. ; BATISTA, C. A. S. ; KURTHS, J. ; VIANA, R. L. . Synchronization of bursting Hodgkin-Huxley-type neurons in clustered networks. Physical Review E (Statistical, Nonlinear, and Soft Matter Physics), v. 90, p. 032818, 2014. DOS S. SILVA, F.A. ; VIANA, R.L. ; De L. Prado, T. ; LOPES, S.R. . Characterization of spatial patterns produced by a Turing instability in coupled dynamical systems. Communications in Nonlinear Science & Numerical Simulation, v. 19, p. 1055-1071, 2014. |