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  • Source: Journal of Statistical Physics. Unidade: IME

    Subjects: NEURÔNIOS, SINAPSE, ESTATÍSTICA APLICADA

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      GALVES, Antonio et al. A system of interacting neurons with short term synaptic facilitation. Journal of Statistical Physics, v. 178, n. 4, p. 869-892, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10955-019-02467-1. Acesso em: 08 jul. 2024.
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      Galves, A., Löcherbach, E., Pouzat, C., & Presutti, E. (2020). A system of interacting neurons with short term synaptic facilitation. Journal of Statistical Physics, 178( 4), 869-892. doi:10.1007/s10955-019-02467-1
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      Galves A, Löcherbach E, Pouzat C, Presutti E. A system of interacting neurons with short term synaptic facilitation [Internet]. Journal of Statistical Physics. 2020 ; 178( 4): 869-892.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1007/s10955-019-02467-1
    • Vancouver

      Galves A, Löcherbach E, Pouzat C, Presutti E. A system of interacting neurons with short term synaptic facilitation [Internet]. Journal of Statistical Physics. 2020 ; 178( 4): 869-892.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1007/s10955-019-02467-1
  • Source: Journal of Statistical Physics. Unidade: IME

    Subjects: PROCESSOS ESTOCÁSTICOS, PROCESSOS ALEATÓRIOS, BIOMATEMÁTICA

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      FERRARI, Pablo Augusto et al. Phase transition for infinite systems of spiking neurons. Journal of Statistical Physics, v. 172, n. 6, p. 1564–1575, 2018Tradução . . Disponível em: https://doi.org/10.1007/s10955-018-2118-6. Acesso em: 08 jul. 2024.
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      Ferrari, P. A., Galves, A., Grigorescu, I., & Löcherbach, E. (2018). Phase transition for infinite systems of spiking neurons. Journal of Statistical Physics, 172( 6), 1564–1575. doi:10.1007/s10955-018-2118-6
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      Ferrari PA, Galves A, Grigorescu I, Löcherbach E. Phase transition for infinite systems of spiking neurons [Internet]. Journal of Statistical Physics. 2018 ; 172( 6): 1564–1575.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1007/s10955-018-2118-6
    • Vancouver

      Ferrari PA, Galves A, Grigorescu I, Löcherbach E. Phase transition for infinite systems of spiking neurons [Internet]. Journal of Statistical Physics. 2018 ; 172( 6): 1564–1575.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1007/s10955-018-2118-6
  • Source: Journal of Statistical Physics. Unidade: IME

    Subjects: PROCESSOS ESTOCÁSTICOS, MECÂNICA ESTATÍSTICA

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      CASSANDRO, Marzio e GALVES, Antonio e LÖCHERBACH, E. Information transmission and criticality in the contact process. Journal of Statistical Physics, v. 168, n. 6, p. 1180-1190, 2017Tradução . . Disponível em: https://doi.org/10.1007/s10955-017-1854-3. Acesso em: 08 jul. 2024.
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      Cassandro, M., Galves, A., & Löcherbach, E. (2017). Information transmission and criticality in the contact process. Journal of Statistical Physics, 168( 6), 1180-1190. doi:10.1007/s10955-017-1854-3
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      Cassandro M, Galves A, Löcherbach E. Information transmission and criticality in the contact process [Internet]. Journal of Statistical Physics. 2017 ; 168( 6): 1180-1190.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1007/s10955-017-1854-3
    • Vancouver

      Cassandro M, Galves A, Löcherbach E. Information transmission and criticality in the contact process [Internet]. Journal of Statistical Physics. 2017 ; 168( 6): 1180-1190.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1007/s10955-017-1854-3
  • Source: Journal of Statistical Physics. Unidade: IME

    Assunto: SISTEMAS DINÂMICOS

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      GALVES, Antonio e LÖCHERBACH, Eva. Infinite systems of interacting chains with memory of variable length—a stochastic model for biological neural nets. Journal of Statistical Physics, v. 151, n. 5, p. 896-921, 2013Tradução . . Disponível em: https://doi.org/10.1007/s10955-013-0733-9. Acesso em: 08 jul. 2024.
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      Galves, A., & Löcherbach, E. (2013). Infinite systems of interacting chains with memory of variable length—a stochastic model for biological neural nets. Journal of Statistical Physics, 151( 5), 896-921. doi:10.1007/s10955-013-0733-9
    • NLM

      Galves A, Löcherbach E. Infinite systems of interacting chains with memory of variable length—a stochastic model for biological neural nets [Internet]. Journal of Statistical Physics. 2013 ; 151( 5): 896-921.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1007/s10955-013-0733-9
    • Vancouver

      Galves A, Löcherbach E. Infinite systems of interacting chains with memory of variable length—a stochastic model for biological neural nets [Internet]. Journal of Statistical Physics. 2013 ; 151( 5): 896-921.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1007/s10955-013-0733-9
  • Source: Journal of Statistical Physics. Unidade: IME

    Assunto: PROCESSOS DE MARKOV

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      CASSANDRO, Marzio e GALVES, Antonio e LÖCHERBACH, Eva. Partially observed Markov random fields are variable neighborhood random fields. Journal of Statistical Physics, v. 147, n. 4, p. 795-807, 2012Tradução . . Disponível em: https://doi.org/10.1007/s10955-012-0488-8. Acesso em: 08 jul. 2024.
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      Cassandro, M., Galves, A., & Löcherbach, E. (2012). Partially observed Markov random fields are variable neighborhood random fields. Journal of Statistical Physics, 147( 4), 795-807. doi:10.1007/s10955-012-0488-8
    • NLM

      Cassandro M, Galves A, Löcherbach E. Partially observed Markov random fields are variable neighborhood random fields [Internet]. Journal of Statistical Physics. 2012 ; 147( 4): 795-807.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1007/s10955-012-0488-8
    • Vancouver

      Cassandro M, Galves A, Löcherbach E. Partially observed Markov random fields are variable neighborhood random fields [Internet]. Journal of Statistical Physics. 2012 ; 147( 4): 795-807.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1007/s10955-012-0488-8
  • Source: Journal of Statistical Physics. Unidade: IME

    Assunto: SISTEMAS DINÂMICOS

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      COLLET, Pierre e GALVES, Antonio. Chains of infinite order, chains with memory of variable length, and maps of the interval. Journal of Statistical Physics, v. 149, n. 1, p. 73-85, 2012Tradução . . Disponível em: https://doi.org/10.1007/s10955-012-0579-6. Acesso em: 08 jul. 2024.
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      Collet, P., & Galves, A. (2012). Chains of infinite order, chains with memory of variable length, and maps of the interval. Journal of Statistical Physics, 149( 1), 73-85. doi:10.1007/s10955-012-0579-6
    • NLM

      Collet P, Galves A. Chains of infinite order, chains with memory of variable length, and maps of the interval [Internet]. Journal of Statistical Physics. 2012 ; 149( 1): 73-85.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1007/s10955-012-0579-6
    • Vancouver

      Collet P, Galves A. Chains of infinite order, chains with memory of variable length, and maps of the interval [Internet]. Journal of Statistical Physics. 2012 ; 149( 1): 73-85.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1007/s10955-012-0579-6
  • Source: Journal of Statistical Physics. Unidade: IME

    Assunto: PROCESSOS ESTOCÁSTICOS ESPECIAIS

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      KRIKUN, Maxim e IAMBARTSEV, Anatoli. Phase transition for the Ising model on the critical Lorentzian triangulation. Journal of Statistical Physics, v. 148, n. 1, p. 422-439, 2012Tradução . . Disponível em: https://doi.org/10.1007/s10955-012-0548-0. Acesso em: 08 jul. 2024.
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      Krikun, M., & Iambartsev, A. (2012). Phase transition for the Ising model on the critical Lorentzian triangulation. Journal of Statistical Physics, 148( 1), 422-439. doi:10.1007/s10955-012-0548-0
    • NLM

      Krikun M, Iambartsev A. Phase transition for the Ising model on the critical Lorentzian triangulation [Internet]. Journal of Statistical Physics. 2012 ; 148( 1): 422-439.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1007/s10955-012-0548-0
    • Vancouver

      Krikun M, Iambartsev A. Phase transition for the Ising model on the critical Lorentzian triangulation [Internet]. Journal of Statistical Physics. 2012 ; 148( 1): 422-439.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1007/s10955-012-0548-0
  • Source: Journal of Statistical Physics. Unidade: IME

    Assunto: PROCESSOS ESTOCÁSTICOS

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      GALVES, Antonio e LÖCHERBACH, Eva e ORLANDI, Enza. Perfect simulation of infinite range gibbs measures and coupling with their finite range approximations. Journal of Statistical Physics, v. 138, n. 1-3, p. 476-495, 2010Tradução . . Disponível em: https://doi.org/10.1007/s10955-009-9881-3. Acesso em: 08 jul. 2024.
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      Galves, A., Löcherbach, E., & Orlandi, E. (2010). Perfect simulation of infinite range gibbs measures and coupling with their finite range approximations. Journal of Statistical Physics, 138( 1-3), 476-495. doi:10.1007/s10955-009-9881-3
    • NLM

      Galves A, Löcherbach E, Orlandi E. Perfect simulation of infinite range gibbs measures and coupling with their finite range approximations [Internet]. Journal of Statistical Physics. 2010 ; 138( 1-3): 476-495.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1007/s10955-009-9881-3
    • Vancouver

      Galves A, Löcherbach E, Orlandi E. Perfect simulation of infinite range gibbs measures and coupling with their finite range approximations [Internet]. Journal of Statistical Physics. 2010 ; 138( 1-3): 476-495.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1007/s10955-009-9881-3
  • Source: Journal of Statistical Physics. Unidade: IME

    Assunto: PROCESSOS DE MARKOV

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      GALVES, Antonio e GARCIA, Nancy Lopes e PRIEUR, Clémentine. Perfect simulation of a coupling achieving the ¯ d-distance between ordered pairs of binary chains of infinite order. Journal of Statistical Physics, v. 141, n. 4, p. 669-682, 2010Tradução . . Disponível em: https://doi.org/10.1007/s10955-010-0071-0. Acesso em: 08 jul. 2024.
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      Galves, A., Garcia, N. L., & Prieur, C. (2010). Perfect simulation of a coupling achieving the ¯ d-distance between ordered pairs of binary chains of infinite order. Journal of Statistical Physics, 141( 4), 669-682. doi:10.1007/s10955-010-0071-0
    • NLM

      Galves A, Garcia NL, Prieur C. Perfect simulation of a coupling achieving the ¯ d-distance between ordered pairs of binary chains of infinite order [Internet]. Journal of Statistical Physics. 2010 ; 141( 4): 669-682.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1007/s10955-010-0071-0
    • Vancouver

      Galves A, Garcia NL, Prieur C. Perfect simulation of a coupling achieving the ¯ d-distance between ordered pairs of binary chains of infinite order [Internet]. Journal of Statistical Physics. 2010 ; 141( 4): 669-682.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1007/s10955-010-0071-0
  • Source: Journal of Statistical Physics. Unidade: IME

    Assunto: SISTEMAS DINÂMICOS

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      FERNANDEZ, Roberto e FONTES, Luiz Renato e NEVES, Eduardo Jordao. Density-profile processes describing biological signaling networks: almost sure convergence to deterministic trajectories. Journal of Statistical Physics, v. 136, n. 5, p. 875-901, 2009Tradução . . Disponível em: https://doi-org.ez67.periodicos.capes.gov.br/10.1007/s10955-009-9819-9. Acesso em: 08 jul. 2024.
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      Fernandez, R., Fontes, L. R., & Neves, E. J. (2009). Density-profile processes describing biological signaling networks: almost sure convergence to deterministic trajectories. Journal of Statistical Physics, 136( 5), 875-901. doi:10.1007%2Fs10955-009-9819-9
    • NLM

      Fernandez R, Fontes LR, Neves EJ. Density-profile processes describing biological signaling networks: almost sure convergence to deterministic trajectories [Internet]. Journal of Statistical Physics. 2009 ; 136( 5): 875-901.[citado 2024 jul. 08 ] Available from: https://doi-org.ez67.periodicos.capes.gov.br/10.1007/s10955-009-9819-9
    • Vancouver

      Fernandez R, Fontes LR, Neves EJ. Density-profile processes describing biological signaling networks: almost sure convergence to deterministic trajectories [Internet]. Journal of Statistical Physics. 2009 ; 136( 5): 875-901.[citado 2024 jul. 08 ] Available from: https://doi-org.ez67.periodicos.capes.gov.br/10.1007/s10955-009-9819-9
  • Source: Journal of Statistical Physics. Unidade: IME

    Assunto: ANÁLISE GLOBAL

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      COLLET, Pierre e GALVES, Antonio. Statistics of close visits to the indifferent fixed point of an interval map. Journal of Statistical Physics, v. 72, n. 3-4, p. 459-478, 1993Tradução . . Disponível em: https://doi.org/10.1007/bf01048020. Acesso em: 08 jul. 2024.
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      Collet, P., & Galves, A. (1993). Statistics of close visits to the indifferent fixed point of an interval map. Journal of Statistical Physics, 72( 3-4), 459-478. doi:10.1007/bf01048020
    • NLM

      Collet P, Galves A. Statistics of close visits to the indifferent fixed point of an interval map [Internet]. Journal of Statistical Physics. 1993 ; 72( 3-4): 459-478.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1007/bf01048020
    • Vancouver

      Collet P, Galves A. Statistics of close visits to the indifferent fixed point of an interval map [Internet]. Journal of Statistical Physics. 1993 ; 72( 3-4): 459-478.[citado 2024 jul. 08 ] Available from: https://doi.org/10.1007/bf01048020
  • Source: Journal of Statistical Physics. Unidade: IME

    Subjects: MECÂNICA ESTATÍSTICA, PERCOLAÇÃO, PROCESSOS ESTOCÁSTICOS

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      GALVES, Antonio e MARTINEZ, Servet e PICCO, Pierre. Fluctuations in Derrida's random energy and generalized random energy models. Journal of Statistical Physics, v. 54, n. 1-2, p. 515-529, 1989Tradução . . Disponível em: https://doi-org.ez67.periodicos.capes.gov.br/10.1007/BF01023492. Acesso em: 08 jul. 2024.
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      Galves, A., Martinez, S., & Picco, P. (1989). Fluctuations in Derrida's random energy and generalized random energy models. Journal of Statistical Physics, 54( 1-2), 515-529. doi:10.1007/bf01023492
    • NLM

      Galves A, Martinez S, Picco P. Fluctuations in Derrida's random energy and generalized random energy models [Internet]. Journal of Statistical Physics. 1989 ; 54( 1-2): 515-529.[citado 2024 jul. 08 ] Available from: https://doi-org.ez67.periodicos.capes.gov.br/10.1007/BF01023492
    • Vancouver

      Galves A, Martinez S, Picco P. Fluctuations in Derrida's random energy and generalized random energy models [Internet]. Journal of Statistical Physics. 1989 ; 54( 1-2): 515-529.[citado 2024 jul. 08 ] Available from: https://doi-org.ez67.periodicos.capes.gov.br/10.1007/BF01023492

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