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Filtros : "MODELOS PARA PROCESSOS ESTOCÁSTICOS" "Alemanha" Limpar

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  • Artigo de periodico

    RNA polymerase interactions and elongation rate (2019)

    Belitsky, Vladimir ; Schutz, G. M

    Source: Journal of Theoretical Biology. Unidade: IME

    Subjects: RNA POLIMERASES, MODELOS PARA PROCESSOS ESTOCÁSTICOS

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

    • ABNT

      BELITSKY, Vladimir e SCHUTZ, G. M. RNA polymerase interactions and elongation rate. Journal of Theoretical Biology, v. 462, p. 370-380, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.jtbi.2018.11.025. Acesso em: 10 nov. 2025.

    • APA

      Belitsky, V., & Schutz, G. M. (2019). RNA polymerase interactions and elongation rate. Journal of Theoretical Biology, 462, 370-380. doi:10.1016/j.jtbi.2018.11.025

    • NLM

      Belitsky V, Schutz GM. RNA polymerase interactions and elongation rate [Internet]. Journal of Theoretical Biology. 2019 ; 462 370-380.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1016/j.jtbi.2018.11.025

    • Vancouver

      Belitsky V, Schutz GM. RNA polymerase interactions and elongation rate [Internet]. Journal of Theoretical Biology. 2019 ; 462 370-380.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1016/j.jtbi.2018.11.025

  • Artigo de periodico

    Self-consistent scheme for spike-train power spectra in heterogeneous sparse networks (2018)

    Pena, Rodrigo Felipe de Oliveira; Vellmer, Sebastian; Bernardi, Davide; Roque, Antônio Carlos; Lindner, Benjamin

    Source: Frontiers in Computational Neuroscience. Unidade: FFCLRP

    Subjects: REDES COMPLEXAS, REDE NERVOSA, REDES NEURAIS, MODELOS PARA PROCESSOS ESTOCÁSTICOS

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    • ABNT

      PENA, Rodrigo Felipe de Oliveira et al. Self-consistent scheme for spike-train power spectra in heterogeneous sparse networks. Frontiers in Computational Neuroscience, v. 12, 2018Tradução . . Disponível em: https://doi.org/10.3389/fncom.2018.00009. Acesso em: 10 nov. 2025.

    • APA

      Pena, R. F. de O., Vellmer, S., Bernardi, D., Roque, A. C., & Lindner, B. (2018). Self-consistent scheme for spike-train power spectra in heterogeneous sparse networks. Frontiers in Computational Neuroscience, 12. doi:10.3389/fncom.2018.00009

    • NLM

      Pena RF de O, Vellmer S, Bernardi D, Roque AC, Lindner B. Self-consistent scheme for spike-train power spectra in heterogeneous sparse networks [Internet]. Frontiers in Computational Neuroscience. 2018 ; 12[citado 2025 nov. 10 ] Available from: https://doi.org/10.3389/fncom.2018.00009

    • Vancouver

      Pena RF de O, Vellmer S, Bernardi D, Roque AC, Lindner B. Self-consistent scheme for spike-train power spectra in heterogeneous sparse networks [Internet]. Frontiers in Computational Neuroscience. 2018 ; 12[citado 2025 nov. 10 ] Available from: https://doi.org/10.3389/fncom.2018.00009
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