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  • Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, REDES COMPLEXAS, FUTEBOL

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      XAVIER, Felipe Jordão. Prediction of football match outcomes from passing network structure. 2024. Dissertação (Mestrado) – Universidade de São Paulo, São Carlos, 2024. Disponível em: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-28082024-162138/. Acesso em: 29 set. 2024.
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      Xavier, F. J. (2024). Prediction of football match outcomes from passing network structure (Dissertação (Mestrado). Universidade de São Paulo, São Carlos. Recuperado de https://www.teses.usp.br/teses/disponiveis/55/55134/tde-28082024-162138/
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      Xavier FJ. Prediction of football match outcomes from passing network structure [Internet]. 2024 ;[citado 2024 set. 29 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-28082024-162138/
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      Xavier FJ. Prediction of football match outcomes from passing network structure [Internet]. 2024 ;[citado 2024 set. 29 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-28082024-162138/
  • Source: Physics of Life Reviews. Unidade: ICMC

    Subjects: REDES COMPLEXAS, CÉREBRO

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      PERON, Thomas. The networkness of the brain: comment on “Does the brain behave like a (complex) network? I. Dynamics” by Papo and Buldú. Physics of Life Reviews, v. 49, p. 71-73, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.plrev.2023.12.006. Acesso em: 29 set. 2024.
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      Peron, T. (2024). The networkness of the brain: comment on “Does the brain behave like a (complex) network? I. Dynamics” by Papo and Buldú. Physics of Life Reviews, 49, 71-73. doi:10.1016/j.plrev.2024.03.005
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      Peron T. The networkness of the brain: comment on “Does the brain behave like a (complex) network? I. Dynamics” by Papo and Buldú [Internet]. Physics of Life Reviews. 2024 ; 49 71-73.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.plrev.2023.12.006
    • Vancouver

      Peron T. The networkness of the brain: comment on “Does the brain behave like a (complex) network? I. Dynamics” by Papo and Buldú [Internet]. Physics of Life Reviews. 2024 ; 49 71-73.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.plrev.2023.12.006
  • Source: Physics of Life Reviews. Unidade: ICMC

    Subjects: NEUROCIÊNCIAS, INTELIGÊNCIA ARTIFICIAL, REDES NEURAIS

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      JI, Peng et al. Structure and function in artificial, zebrafish and human neural networks. Physics of Life Reviews, v. 45, p. 74-111, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.plrev.2023.04.004. Acesso em: 29 set. 2024.
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      Ji, P., Wang, Y., Peron, T., Li, C., Nagler, J., & Du, J. (2023). Structure and function in artificial, zebrafish and human neural networks. Physics of Life Reviews, 45, 74-111. doi:10.1016/j.plrev.2023.04.004
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      Ji P, Wang Y, Peron T, Li C, Nagler J, Du J. Structure and function in artificial, zebrafish and human neural networks [Internet]. Physics of Life Reviews. 2023 ; 45 74-111.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.plrev.2023.04.004
    • Vancouver

      Ji P, Wang Y, Peron T, Li C, Nagler J, Du J. Structure and function in artificial, zebrafish and human neural networks [Internet]. Physics of Life Reviews. 2023 ; 45 74-111.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.plrev.2023.04.004
  • Source: Chaos, Solitons and Fractals. Unidade: ICMC

    Subjects: MUTUALISMO (BIOLOGIA), COMPETIÇÃO, ESTABILIDADE ESTRUTURAL, ANÁLISE NUMÉRICA APLICADA

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      WANG, Xiangrong et al. Interspecific competition shapes the structural stability of mutualistic networks. Chaos, Solitons and Fractals, v. 172, p. 1-9, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2023.113507. Acesso em: 29 set. 2024.
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      Wang, X., Peron, T., Dubbeldam, J. L. A., Kéfi, S., & Moreno, Y. (2023). Interspecific competition shapes the structural stability of mutualistic networks. Chaos, Solitons and Fractals, 172, 1-9. doi:10.1016/j.chaos.2023.113507
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      Wang X, Peron T, Dubbeldam JLA, Kéfi S, Moreno Y. Interspecific competition shapes the structural stability of mutualistic networks [Internet]. Chaos, Solitons and Fractals. 2023 ; 172 1-9.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.chaos.2023.113507
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      Wang X, Peron T, Dubbeldam JLA, Kéfi S, Moreno Y. Interspecific competition shapes the structural stability of mutualistic networks [Internet]. Chaos, Solitons and Fractals. 2023 ; 172 1-9.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.chaos.2023.113507
  • Source: The European Physical Journal Special Topics. Unidade: ICMC

    Subjects: CLIMA, VULCANISMO, TEMPERATURA ATMOSFÉRICA, ANÁLISE FUNCIONAL

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      KITTEL, Tim et al. Evolving climate network perspectives on global surface air temperature effects of ENSO and strong volcanic eruptions. The European Physical Journal Special Topics, v. 230, p. 3075-3100, 2022Tradução . . Disponível em: https://doi.org/10.1140/epjs/s11734-021-00269-9. Acesso em: 29 set. 2024.
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      Kittel, T., Ciemer, C., Lotfi, N., Peron, T., Rodrigues, F. A., Kurths, J., & Donner, R. (2022). Evolving climate network perspectives on global surface air temperature effects of ENSO and strong volcanic eruptions. The European Physical Journal Special Topics, 230, 3075-3100. doi:10.1140/epjs/s11734-021-00269-9
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      Kittel T, Ciemer C, Lotfi N, Peron T, Rodrigues FA, Kurths J, Donner R. Evolving climate network perspectives on global surface air temperature effects of ENSO and strong volcanic eruptions [Internet]. The European Physical Journal Special Topics. 2022 ; 230 3075-3100.[citado 2024 set. 29 ] Available from: https://doi.org/10.1140/epjs/s11734-021-00269-9
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      Kittel T, Ciemer C, Lotfi N, Peron T, Rodrigues FA, Kurths J, Donner R. Evolving climate network perspectives on global surface air temperature effects of ENSO and strong volcanic eruptions [Internet]. The European Physical Journal Special Topics. 2022 ; 230 3075-3100.[citado 2024 set. 29 ] Available from: https://doi.org/10.1140/epjs/s11734-021-00269-9
  • Source: Nonlinear Dynamics. Unidade: ICMC

    Subjects: REDES COMPLEXAS, SISTEMAS DINÂMICOS

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      QIANG, Li et al. Effects of structural modifications on cluster synchronization patterns. Nonlinear Dynamics, v. 108, n. 4, p. 3529-3541, 2022Tradução . . Disponível em: https://doi.org/10.1007/s11071-022-07383-w. Acesso em: 29 set. 2024.
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      Qiang, L., Peron, T., Stankovski, T., & Peng, J. (2022). Effects of structural modifications on cluster synchronization patterns. Nonlinear Dynamics, 108( 4), 3529-3541. doi:10.1007/s11071-022-07383-w
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      Qiang L, Peron T, Stankovski T, Peng J. Effects of structural modifications on cluster synchronization patterns [Internet]. Nonlinear Dynamics. 2022 ; 108( 4): 3529-3541.[citado 2024 set. 29 ] Available from: https://doi.org/10.1007/s11071-022-07383-w
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      Qiang L, Peron T, Stankovski T, Peng J. Effects of structural modifications on cluster synchronization patterns [Internet]. Nonlinear Dynamics. 2022 ; 108( 4): 3529-3541.[citado 2024 set. 29 ] Available from: https://doi.org/10.1007/s11071-022-07383-w
  • Source: Journal of Physics : Complexity. Unidade: ICMC

    Subjects: REDES COMPLEXAS, SISTEMAS DINÂMICOS

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      METZ, Fernando L e PERON, Thomas. Mean-field theory of vector spin models on networks with arbitrary degree distributions. Journal of Physics : Complexity, v. 3, n. 1, p. 1-24, 2022Tradução . . Disponível em: https://doi.org/10.1088/2632-072X/ac4bed. Acesso em: 29 set. 2024.
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      Metz, F. L., & Peron, T. (2022). Mean-field theory of vector spin models on networks with arbitrary degree distributions. Journal of Physics : Complexity, 3( 1), 1-24. doi:10.1088/2632-072X/ac4bed
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      Metz FL, Peron T. Mean-field theory of vector spin models on networks with arbitrary degree distributions [Internet]. Journal of Physics : Complexity. 2022 ; 3( 1): 1-24.[citado 2024 set. 29 ] Available from: https://doi.org/10.1088/2632-072X/ac4bed
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      Metz FL, Peron T. Mean-field theory of vector spin models on networks with arbitrary degree distributions [Internet]. Journal of Physics : Complexity. 2022 ; 3( 1): 1-24.[citado 2024 set. 29 ] Available from: https://doi.org/10.1088/2632-072X/ac4bed
  • Source: Communications in Nonlinear Science and Numerical Simulation. Unidade: ICMC

    Subjects: REDES COMPLEXAS, SISTEMAS DINÂMICOS

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      YE, Jiachen et al. Performance measures after perturbations in the presence of inertia. Communications in Nonlinear Science and Numerical Simulation, v. 97, p. 1-10, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.cnsns.2021.105727. Acesso em: 29 set. 2024.
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      Ye, J., Peron, T., Lin, W., Kurths, J., & Ji, P. (2021). Performance measures after perturbations in the presence of inertia. Communications in Nonlinear Science and Numerical Simulation, 97, 1-10. doi:10.1016/j.cnsns.2021.105727
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      Ye J, Peron T, Lin W, Kurths J, Ji P. Performance measures after perturbations in the presence of inertia [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2021 ; 97 1-10.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.cnsns.2021.105727
    • Vancouver

      Ye J, Peron T, Lin W, Kurths J, Ji P. Performance measures after perturbations in the presence of inertia [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2021 ; 97 1-10.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.cnsns.2021.105727
  • Source: Chaos, Solitons and Fractals. Unidade: ICMC

    Subjects: REDES COMPLEXAS, MATRIZES

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      MARTÍNEZ-MARTÍNEZ, C. T et al. Statistical properties of mutualistic-competitive random networks. Chaos, Solitons and Fractals, v. 153, p. 1-11, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2021.111504. Acesso em: 29 set. 2024.
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      Martínez-Martínez, C. T., Méndez-Bermúdez, J. A., Peron, T., & Moreno, Y. (2021). Statistical properties of mutualistic-competitive random networks. Chaos, Solitons and Fractals, 153, 1-11. doi:10.1016/j.chaos.2021.111504
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      Martínez-Martínez CT, Méndez-Bermúdez JA, Peron T, Moreno Y. Statistical properties of mutualistic-competitive random networks [Internet]. Chaos, Solitons and Fractals. 2021 ; 153 1-11.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.chaos.2021.111504
    • Vancouver

      Martínez-Martínez CT, Méndez-Bermúdez JA, Peron T, Moreno Y. Statistical properties of mutualistic-competitive random networks [Internet]. Chaos, Solitons and Fractals. 2021 ; 153 1-11.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.chaos.2021.111504
  • Source: Journal of Physics : Complexity. Unidade: ICMC

    Subjects: REDES COMPLEXAS, SISTEMAS DINÂMICOS (FÍSICA MATEMÁTICA)

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      STEGEHUIS, Clara e PERON, Thomas. Network processes on clique-networks with high average degree: the limited effect of higher-order structure. Journal of Physics : Complexity, v. 2, n. 4, p. 1-17, 2021Tradução . . Disponível em: https://doi.org/10.1088/2632-072X/ac35b7. Acesso em: 29 set. 2024.
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      Stegehuis, C., & Peron, T. (2021). Network processes on clique-networks with high average degree: the limited effect of higher-order structure. Journal of Physics : Complexity, 2( 4), 1-17. doi:10.1088/2632-072X/ac35b7
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      Stegehuis C, Peron T. Network processes on clique-networks with high average degree: the limited effect of higher-order structure [Internet]. Journal of Physics : Complexity. 2021 ; 2( 4): 1-17.[citado 2024 set. 29 ] Available from: https://doi.org/10.1088/2632-072X/ac35b7
    • Vancouver

      Stegehuis C, Peron T. Network processes on clique-networks with high average degree: the limited effect of higher-order structure [Internet]. Journal of Physics : Complexity. 2021 ; 2( 4): 1-17.[citado 2024 set. 29 ] Available from: https://doi.org/10.1088/2632-072X/ac35b7
  • Source: Physical Review E. Unidade: ICMC

    Subjects: REDES COMPLEXAS, OSCILADORES, SISTEMAS DINÂMICOS

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      PERON, Thomas. Discordant synchronization patterns on directed networks of identical phase oscillators with attractive and repulsive couplings. Physical Review E, v. 103, n. 4, p. 042210-1-042210-13, 2021Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.103.042210. Acesso em: 29 set. 2024.
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      Peron, T. (2021). Discordant synchronization patterns on directed networks of identical phase oscillators with attractive and repulsive couplings. Physical Review E, 103( 4), 042210-1-042210-13. doi:10.1103/PhysRevE.103.042210
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      Peron T. Discordant synchronization patterns on directed networks of identical phase oscillators with attractive and repulsive couplings [Internet]. Physical Review E. 2021 ; 103( 4): 042210-1-042210-13.[citado 2024 set. 29 ] Available from: https://doi.org/10.1103/PhysRevE.103.042210
    • Vancouver

      Peron T. Discordant synchronization patterns on directed networks of identical phase oscillators with attractive and repulsive couplings [Internet]. Physical Review E. 2021 ; 103( 4): 042210-1-042210-13.[citado 2024 set. 29 ] Available from: https://doi.org/10.1103/PhysRevE.103.042210
  • Source: Physics Reports. Unidades: ICMC, IFSC

    Subjects: REDES COMPLEXAS, RECONHECIMENTO DE PADRÕES, REVISÃO SISTEMÁTICA

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      COMIN, Cesar Henrique et al. Complex systems: features, similarity and connectivity. Physics Reports, v. 861, p. 1-41, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.physrep.2020.03.002. Acesso em: 29 set. 2024.
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      Comin, C. H., Peron, T., Silva, F. N., Amancio, D. R., Rodrigues, F. A., & Costa, L. da F. (2020). Complex systems: features, similarity and connectivity. Physics Reports, 861, 1-41. doi:10.1016/j.physrep.2020.03.002
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      Comin CH, Peron T, Silva FN, Amancio DR, Rodrigues FA, Costa L da F. Complex systems: features, similarity and connectivity [Internet]. Physics Reports. 2020 ; 861 1-41.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.physrep.2020.03.002
    • Vancouver

      Comin CH, Peron T, Silva FN, Amancio DR, Rodrigues FA, Costa L da F. Complex systems: features, similarity and connectivity [Internet]. Physics Reports. 2020 ; 861 1-41.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.physrep.2020.03.002
  • Source: Physical Review E. Unidades: ICMC, IFSC

    Subjects: MATRIZES, MATEMÁTICA APLICADA, REDES COMPLEXAS

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      PERON, Thomas et al. Spacing ratio characterization of the spectra of directed random networks. Physical Review E, v. 102, n. 6, p. 062305-1-062305-9, 2020Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.102.062305. Acesso em: 29 set. 2024.
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      Peron, T., Resende, B. M. F. de, Rodrigues, F. A., Costa, L. da F., & Méndez-Bermúdez, J. A. (2020). Spacing ratio characterization of the spectra of directed random networks. Physical Review E, 102( 6), 062305-1-062305-9. doi:10.1103/PhysRevE.102.062305
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      Peron T, Resende BMF de, Rodrigues FA, Costa L da F, Méndez-Bermúdez JA. Spacing ratio characterization of the spectra of directed random networks [Internet]. Physical Review E. 2020 ; 102( 6): 062305-1-062305-9.[citado 2024 set. 29 ] Available from: https://doi.org/10.1103/PhysRevE.102.062305
    • Vancouver

      Peron T, Resende BMF de, Rodrigues FA, Costa L da F, Méndez-Bermúdez JA. Spacing ratio characterization of the spectra of directed random networks [Internet]. Physical Review E. 2020 ; 102( 6): 062305-1-062305-9.[citado 2024 set. 29 ] Available from: https://doi.org/10.1103/PhysRevE.102.062305
  • Source: Physical Review Research. Unidade: ICMC

    Subjects: OSCILADORES, TOPOLOGIA, ASSIMETRIA

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      PERON, Thomas et al. Collective dynamics of random Janus oscillator networks. Physical Review Research, v. 2, n. 1, p. 013255-1-013255-9, 2020Tradução . . Disponível em: https://doi.org/10.1103/PhysRevResearch.2.013255. Acesso em: 29 set. 2024.
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      Peron, T., Eroglu, D., Rodrigues, F. A., & Moreno, Y. (2020). Collective dynamics of random Janus oscillator networks. Physical Review Research, 2( 1), 013255-1-013255-9. doi:10.1103/PhysRevResearch.2.013255
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      Peron T, Eroglu D, Rodrigues FA, Moreno Y. Collective dynamics of random Janus oscillator networks [Internet]. Physical Review Research. 2020 ; 2( 1): 013255-1-013255-9.[citado 2024 set. 29 ] Available from: https://doi.org/10.1103/PhysRevResearch.2.013255
    • Vancouver

      Peron T, Eroglu D, Rodrigues FA, Moreno Y. Collective dynamics of random Janus oscillator networks [Internet]. Physical Review Research. 2020 ; 2( 1): 013255-1-013255-9.[citado 2024 set. 29 ] Available from: https://doi.org/10.1103/PhysRevResearch.2.013255
  • Source: Neural Computation. Unidades: IFSC, ICMC

    Subjects: CÉREBRO, REDES NEURAIS

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      CIBA, Manuel et al. Comparison of different spike train synchrony measures regarding their robustness to erroneous data from bicuculline-induced epileptiform activity. Neural Computation, v. 32, n. 5, p. 887-911, 2020Tradução . . Disponível em: https://doi.org/10.1162/neco_a_01277. Acesso em: 29 set. 2024.
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      Ciba, M., Bestel, R., Nick, C., Arruda, G. F. de, Peron, T., Comin, C. H., et al. (2020). Comparison of different spike train synchrony measures regarding their robustness to erroneous data from bicuculline-induced epileptiform activity. Neural Computation, 32( 5), 887-911. doi:10.1162/neco_a_01277
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      Ciba M, Bestel R, Nick C, Arruda GF de, Peron T, Comin CH, Costa L da F, Rodrigues FA, Thielemann C. Comparison of different spike train synchrony measures regarding their robustness to erroneous data from bicuculline-induced epileptiform activity [Internet]. Neural Computation. 2020 ; 32( 5): 887-911.[citado 2024 set. 29 ] Available from: https://doi.org/10.1162/neco_a_01277
    • Vancouver

      Ciba M, Bestel R, Nick C, Arruda GF de, Peron T, Comin CH, Costa L da F, Rodrigues FA, Thielemann C. Comparison of different spike train synchrony measures regarding their robustness to erroneous data from bicuculline-induced epileptiform activity [Internet]. Neural Computation. 2020 ; 32( 5): 887-911.[citado 2024 set. 29 ] Available from: https://doi.org/10.1162/neco_a_01277
  • Source: Physical Review E. Unidades: ICMC, IFSC

    Subjects: MECÂNICA ESTATÍSTICA, FÍSICA TEÓRICA, MODELOS

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      PERON, Thomas et al. Onset of synchronization of Kuramoto oscillators in scale-free networks. Physical Review E, v. 100, n. 4, p. 042302-1-042302-8, 2019Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.100.042302. Acesso em: 29 set. 2024.
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      Peron, T., Resende, B. M. F. de, Mata, A. S., Rodrigues, F. A., & Moreno, Y. (2019). Onset of synchronization of Kuramoto oscillators in scale-free networks. Physical Review E, 100( 4), 042302-1-042302-8. doi:10.1103/PhysRevE.100.042302
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      Peron T, Resende BMF de, Mata AS, Rodrigues FA, Moreno Y. Onset of synchronization of Kuramoto oscillators in scale-free networks [Internet]. Physical Review E. 2019 ; 100( 4): 042302-1-042302-8.[citado 2024 set. 29 ] Available from: https://doi.org/10.1103/PhysRevE.100.042302
    • Vancouver

      Peron T, Resende BMF de, Mata AS, Rodrigues FA, Moreno Y. Onset of synchronization of Kuramoto oscillators in scale-free networks [Internet]. Physical Review E. 2019 ; 100( 4): 042302-1-042302-8.[citado 2024 set. 29 ] Available from: https://doi.org/10.1103/PhysRevE.100.042302
  • Source: Europhysics Letters - EPL. Unidade: ICMC

    Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE

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      PERON, Thomas et al. Spectra of random networks in the weak clustering regime. Europhysics Letters - EPL, v. 121, n. 6, p. 57006-p1-57006-p6, 2018Tradução . . Disponível em: https://doi.org/10.1209/0295-5075/121/68001. Acesso em: 29 set. 2024.
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      Peron, T., Ji, P., Kurths, J., & Rodrigues, F. A. (2018). Spectra of random networks in the weak clustering regime. Europhysics Letters - EPL, 121( 6), 57006-p1-57006-p6. doi:10.1209/0295-5075/121/68001
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      Peron T, Ji P, Kurths J, Rodrigues FA. Spectra of random networks in the weak clustering regime [Internet]. Europhysics Letters - EPL. 2018 ; 121( 6): 57006-p1-57006-p6.[citado 2024 set. 29 ] Available from: https://doi.org/10.1209/0295-5075/121/68001
    • Vancouver

      Peron T, Ji P, Kurths J, Rodrigues FA. Spectra of random networks in the weak clustering regime [Internet]. Europhysics Letters - EPL. 2018 ; 121( 6): 57006-p1-57006-p6.[citado 2024 set. 29 ] Available from: https://doi.org/10.1209/0295-5075/121/68001
  • Unidade: IFSC

    Assunto: REDES COMPLEXAS

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      PERON, Thomas. Dynamics of Kuramoto oscillators in complex networks. 2017. Tese (Doutorado) – Universidade de São Paulo, São Carlos, 2017. Disponível em: http://www.teses.usp.br/teses/disponiveis/76/76132/tde-21092017-100820/. Acesso em: 29 set. 2024.
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      Peron, T. (2017). Dynamics of Kuramoto oscillators in complex networks (Tese (Doutorado). Universidade de São Paulo, São Carlos. Recuperado de http://www.teses.usp.br/teses/disponiveis/76/76132/tde-21092017-100820/
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      Peron T. Dynamics of Kuramoto oscillators in complex networks [Internet]. 2017 ;[citado 2024 set. 29 ] Available from: http://www.teses.usp.br/teses/disponiveis/76/76132/tde-21092017-100820/
    • Vancouver

      Peron T. Dynamics of Kuramoto oscillators in complex networks [Internet]. 2017 ;[citado 2024 set. 29 ] Available from: http://www.teses.usp.br/teses/disponiveis/76/76132/tde-21092017-100820/
  • Source: Physics Reports. Unidade: ICMC

    Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE

    Acesso à fonteDOIHow to cite
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      RODRIGUES, Francisco Aparecido et al. The Kuramoto model in complex networks. Physics Reports, v. 610, n. Ja 2016, p. 1-98, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.physrep.2015.10.008. Acesso em: 29 set. 2024.
    • APA

      Rodrigues, F. A., Peron, T., Ji, P., & Kurths, J. (2016). The Kuramoto model in complex networks. Physics Reports, 610( Ja 2016), 1-98. doi:10.1016/j.physrep.2015.10.008
    • NLM

      Rodrigues FA, Peron T, Ji P, Kurths J. The Kuramoto model in complex networks [Internet]. Physics Reports. 2016 ; 610( Ja 2016): 1-98.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.physrep.2015.10.008
    • Vancouver

      Rodrigues FA, Peron T, Ji P, Kurths J. The Kuramoto model in complex networks [Internet]. Physics Reports. 2016 ; 610( Ja 2016): 1-98.[citado 2024 set. 29 ] Available from: https://doi.org/10.1016/j.physrep.2015.10.008
  • Source: Physical Review E: covering statistical, nonlinear, biological, and soft matter physics. Unidade: ICMC

    Subjects: REDES COMPLEXAS, TEORIA DOS GRAFOS, PROBABILIDADE

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      SCHULTZ, Paul et al. Tweaking synchronization by connectivity modifications. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics, v. 93, n. Ju 2016, 2016Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.93.062211. Acesso em: 29 set. 2024.
    • APA

      Schultz, P., Peron, T., Eroglu, D., Stemler, T., Ávila, G. M. R., Rodrigues, F. A., & Kurths, J. (2016). Tweaking synchronization by connectivity modifications. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics, 93( Ju 2016). doi:10.1103/PhysRevE.93.062211
    • NLM

      Schultz P, Peron T, Eroglu D, Stemler T, Ávila GMR, Rodrigues FA, Kurths J. Tweaking synchronization by connectivity modifications [Internet]. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics. 2016 ; 93( Ju 2016):[citado 2024 set. 29 ] Available from: https://doi.org/10.1103/PhysRevE.93.062211
    • Vancouver

      Schultz P, Peron T, Eroglu D, Stemler T, Ávila GMR, Rodrigues FA, Kurths J. Tweaking synchronization by connectivity modifications [Internet]. Physical Review E: covering statistical, nonlinear, biological, and soft matter physics. 2016 ; 93( Ju 2016):[citado 2024 set. 29 ] Available from: https://doi.org/10.1103/PhysRevE.93.062211

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