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  • Artigo de periodico

    Return-time Lq-spectrum for equilibrium states with potentials of summable variation (2022)

    Abadi, M. ; Amorim, Vitor ; Chazottes, J.-R ; Gallo, Sandro

    Fonte: Ergodic Theory and Dynamical Systems. Unidade: IME

    Assuntos: SISTEMAS DINÂMICOS, TEORIA ERGÓDICA

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    • ABNT

      ABADI, M. et al. Return-time Lq-spectrum for equilibrium states with potentials of summable variation. Ergodic Theory and Dynamical Systems, n. , p. 2489-2515-, 2022Tradução . . Disponível em: https://doi.org/10.1017/etds.2022.40. Acesso em: 24 jul. 2024.

    • APA

      Abadi, M., Amorim, V., Chazottes, J. -R., & Gallo, S. (2022). Return-time Lq-spectrum for equilibrium states with potentials of summable variation. Ergodic Theory and Dynamical Systems, ( ), 2489-2515-. doi:10.1017/etds.2022.40

    • NLM

      Abadi M, Amorim V, Chazottes J-R, Gallo S. Return-time Lq-spectrum for equilibrium states with potentials of summable variation [Internet]. Ergodic Theory and Dynamical Systems. 2022 ;( ): 2489-2515-.[citado 2024 jul. 24 ] Available from: https://doi.org/10.1017/etds.2022.40

    • Vancouver

      Abadi M, Amorim V, Chazottes J-R, Gallo S. Return-time Lq-spectrum for equilibrium states with potentials of summable variation [Internet]. Ergodic Theory and Dynamical Systems. 2022 ;( ): 2489-2515-.[citado 2024 jul. 24 ] Available from: https://doi.org/10.1017/etds.2022.40

  • Artigo de periodico

    Dynamical counterexamples regarding the extremal index and the mean of the limiting cluster size distribution (2020)

    Abadi, Miguel Natalio ; Freitas, Ana Cristina Moreira ; Freitas, Jorge Milhazes

    Fonte: Journal of the London Mathematical Society. Unidade: IME

    Assuntos: SISTEMAS DINÂMICOS, TOPOLOGIA DINÂMICA, TEORIA ERGÓDICA, PROCESSOS ESTOCÁSTICOS

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    • ABNT

      ABADI, Miguel Natalio e FREITAS, Ana Cristina Moreira e FREITAS, Jorge Milhazes. Dynamical counterexamples regarding the extremal index and the mean of the limiting cluster size distribution. Journal of the London Mathematical Society, v. 102, n. 2, p. 670-694, 2020Tradução . . Disponível em: https://doi.org/10.1112/jlms.12332. Acesso em: 24 jul. 2024.

    • APA

      Abadi, M. N., Freitas, A. C. M., & Freitas, J. M. (2020). Dynamical counterexamples regarding the extremal index and the mean of the limiting cluster size distribution. Journal of the London Mathematical Society, 102( 2), 670-694. doi:10.1112/jlms.12332

    • NLM

      Abadi MN, Freitas ACM, Freitas JM. Dynamical counterexamples regarding the extremal index and the mean of the limiting cluster size distribution [Internet]. Journal of the London Mathematical Society. 2020 ; 102( 2): 670-694.[citado 2024 jul. 24 ] Available from: https://doi.org/10.1112/jlms.12332

    • Vancouver

      Abadi MN, Freitas ACM, Freitas JM. Dynamical counterexamples regarding the extremal index and the mean of the limiting cluster size distribution [Internet]. Journal of the London Mathematical Society. 2020 ; 102( 2): 670-694.[citado 2024 jul. 24 ] Available from: https://doi.org/10.1112/jlms.12332

  • Artigo de periodico

    From the divergence between two measures to the shortest path between two observables (2019)

    Abadi, Miguel Natalio ; Lambert, Rodrigo

    Fonte: Ergodic Theory and Dynamical Systems. Unidade: IME

    Assuntos: PROCESSOS DE MARKOV, ENTROPIA, PROCESSOS ESTACIONÁRIOS

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    • ABNT

      ABADI, Miguel Natalio e LAMBERT, Rodrigo. From the divergence between two measures to the shortest path between two observables. Ergodic Theory and Dynamical Systems, v. 39, n. 7, p. 1729-1744, 2019Tradução . . Disponível em: https://doi.org/10.1017/etds.2017.114. Acesso em: 24 jul. 2024.

    • APA

      Abadi, M. N., & Lambert, R. (2019). From the divergence between two measures to the shortest path between two observables. Ergodic Theory and Dynamical Systems, 39( 7), 1729-1744. doi:10.1017/etds.2017.114

    • NLM

      Abadi MN, Lambert R. From the divergence between two measures to the shortest path between two observables [Internet]. Ergodic Theory and Dynamical Systems. 2019 ; 39( 7): 1729-1744.[citado 2024 jul. 24 ] Available from: https://doi.org/10.1017/etds.2017.114

    • Vancouver

      Abadi MN, Lambert R. From the divergence between two measures to the shortest path between two observables [Internet]. Ergodic Theory and Dynamical Systems. 2019 ; 39( 7): 1729-1744.[citado 2024 jul. 24 ] Available from: https://doi.org/10.1017/etds.2017.114

  • Artigo de periodico

    Clustering indices and decay of correlations in non-Markovian models (2019)

    Abadi, Miguel Natalio ; Freitas, Ana Cristina Moreira ; Freitas, Jorge Milhazes

    Fonte: Nonlinearity. Unidade: IME

    Assuntos: PROCESSOS ESTOCÁSTICOS, TOPOLOGIA DINÂMICA

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    • ABNT

      ABADI, Miguel Natalio e FREITAS, Ana Cristina Moreira e FREITAS, Jorge Milhazes. Clustering indices and decay of correlations in non-Markovian models. Nonlinearity, v. 32, p. 4853-4870, 2019Tradução . . Disponível em: https://doi.org/10.1088/1361-6544/ab37b8. Acesso em: 24 jul. 2024.

    • APA

      Abadi, M. N., Freitas, A. C. M., & Freitas, J. M. (2019). Clustering indices and decay of correlations in non-Markovian models. Nonlinearity, 32, 4853-4870. doi:10.1088/1361-6544/ab37b8

    • NLM

      Abadi MN, Freitas ACM, Freitas JM. Clustering indices and decay of correlations in non-Markovian models [Internet]. Nonlinearity. 2019 ; 32 4853-4870.[citado 2024 jul. 24 ] Available from: https://doi.org/10.1088/1361-6544/ab37b8

    • Vancouver

      Abadi MN, Freitas ACM, Freitas JM. Clustering indices and decay of correlations in non-Markovian models [Internet]. Nonlinearity. 2019 ; 32 4853-4870.[citado 2024 jul. 24 ] Available from: https://doi.org/10.1088/1361-6544/ab37b8

  • Trabalho de evento-resumo

    Dynamical neuronal gains produce self-organized criticality in stochastic spiking neural networks (2016)

    Brochini, Ludmila; Costa, Ariadne de Andrade; Abadi, Miguel Natalio ; Roque, Antônio Carlos; Stolfi, Jorge; Kinouchi, Osame

    Fonte: Abstract. Nome do evento: Palestra no Centre of Complexity Science - Imperial College London. Unidades: IME, FFCLRP

    Assuntos: PROCESSOS ESTOCÁSTICOS, REDES NEURAIS, NEUROCIÊNCIAS

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    • ABNT

      BROCHINI, Ludmila et al. Dynamical neuronal gains produce self-organized criticality in stochastic spiking neural networks. 2016, Anais.. London: Imperial College London, 2016. Disponível em: https://doi.org/10.3389/conf.fninf.2016.20.00059. Acesso em: 24 jul. 2024.

    • APA

      Brochini, L., Costa, A. de A., Abadi, M. N., Roque, A. C., Stolfi, J., & Kinouchi, O. (2016). Dynamical neuronal gains produce self-organized criticality in stochastic spiking neural networks. In Abstract. London: Imperial College London. doi:10.3389/conf.fninf.2016.20.00059

    • NLM

      Brochini L, Costa A de A, Abadi MN, Roque AC, Stolfi J, Kinouchi O. Dynamical neuronal gains produce self-organized criticality in stochastic spiking neural networks [Internet]. Abstract. 2016 ;[citado 2024 jul. 24 ] Available from: https://doi.org/10.3389/conf.fninf.2016.20.00059

    • Vancouver

      Brochini L, Costa A de A, Abadi MN, Roque AC, Stolfi J, Kinouchi O. Dynamical neuronal gains produce self-organized criticality in stochastic spiking neural networks [Internet]. Abstract. 2016 ;[citado 2024 jul. 24 ] Available from: https://doi.org/10.3389/conf.fninf.2016.20.00059

  • Artigo de periodico

    Phase transitions and self-organized criticality in networks of stochastic spiking neurons (2016)

    Brochini, Ludmila; Costa, Ariadne de Andrade; Abadi, Miguel Natalio ; Roque, Antônio Carlos; Stolfi, Jorge; Kinouchi, Osame

    Fonte: Scientific Reports. Unidades: IME, FFCLRP

    Assuntos: NEUROCIÊNCIAS, COMPORTAMENTO ANIMAL, SINAPSE, CÉLULAS DENDRÍTICAS, ESTATÍSTICA DE PROCESSOS ESTOCÁSTICOS

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    • ABNT

      BROCHINI, Ludmila et al. Phase transitions and self-organized criticality in networks of stochastic spiking neurons. Scientific Reports, v. 6, 2016Tradução . . Disponível em: https://doi.org/10.1038/srep35831. Acesso em: 24 jul. 2024.

    • APA

      Brochini, L., Costa, A. de A., Abadi, M. N., Roque, A. C., Stolfi, J., & Kinouchi, O. (2016). Phase transitions and self-organized criticality in networks of stochastic spiking neurons. Scientific Reports, 6. doi:10.1038/srep35831

    • NLM

      Brochini L, Costa A de A, Abadi MN, Roque AC, Stolfi J, Kinouchi O. Phase transitions and self-organized criticality in networks of stochastic spiking neurons [Internet]. Scientific Reports. 2016 ; 6[citado 2024 jul. 24 ] Available from: https://doi.org/10.1038/srep35831

    • Vancouver

      Brochini L, Costa A de A, Abadi MN, Roque AC, Stolfi J, Kinouchi O. Phase transitions and self-organized criticality in networks of stochastic spiking neurons [Internet]. Scientific Reports. 2016 ; 6[citado 2024 jul. 24 ] Available from: https://doi.org/10.1038/srep35831

  • Artigo de periodico

    A version of Maurer's conjecture for stationary ψ-mixing processes (2004)

    Abadi, Miguel Natalio ; Galves, Antonio

    Fonte: Nonlinearity. Unidade: IME

    Assunto: TEOREMAS LIMITES

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    • ABNT

      ABADI, Miguel Natalio e GALVES, Antonio. A version of Maurer's conjecture for stationary ψ-mixing processes. Nonlinearity, v. 17, n. 4, p. 1357-1366, 2004Tradução . . Disponível em: https://doi.org/10.1088/0951-7715/17/4/01. Acesso em: 24 jul. 2024.

    • APA

      Abadi, M. N., & Galves, A. (2004). A version of Maurer's conjecture for stationary ψ-mixing processes. Nonlinearity, 17( 4), 1357-1366. doi:10.1088/0951-7715/17/4/01

    • NLM

      Abadi MN, Galves A. A version of Maurer's conjecture for stationary ψ-mixing processes [Internet]. Nonlinearity. 2004 ; 17( 4): 1357-1366.[citado 2024 jul. 24 ] Available from: https://doi.org/10.1088/0951-7715/17/4/01

    • Vancouver

      Abadi MN, Galves A. A version of Maurer's conjecture for stationary ψ-mixing processes [Internet]. Nonlinearity. 2004 ; 17( 4): 1357-1366.[citado 2024 jul. 24 ] Available from: https://doi.org/10.1088/0951-7715/17/4/01
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