Filtros : "ELETROFISIOLOGIA" "Pena, Rodrigo F. O." Removido: "TESTES AUDIOLÓGICOS" Limpar

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  • Source: Physical Review E. Unidade: FFCLRP

    Subjects: ELETROFISIOLOGIA, CINÉTICA, NEUROLOGIA, NEURÔNIOS

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    • ABNT

      PENA, Rodrigo F. O. et al. Interplay of activation kinetics and the derivative conductance determines resonance properties of neurons. Physical Review E, v. 97, n. 4-1, 2018Tradução . . Disponível em: https://doi.org/10.1103/physreve.97.042408. Acesso em: 28 set. 2024.
    • APA

      Pena, R. F. O., Ceballos, C. C., Lima, V., & Roque, A. C. (2018). Interplay of activation kinetics and the derivative conductance determines resonance properties of neurons. Physical Review E, 97( 4-1). doi:10.1103/physreve.97.042408
    • NLM

      Pena RFO, Ceballos CC, Lima V, Roque AC. Interplay of activation kinetics and the derivative conductance determines resonance properties of neurons [Internet]. Physical Review E. 2018 ; 97( 4-1):[citado 2024 set. 28 ] Available from: https://doi.org/10.1103/physreve.97.042408
    • Vancouver

      Pena RFO, Ceballos CC, Lima V, Roque AC. Interplay of activation kinetics and the derivative conductance determines resonance properties of neurons [Internet]. Physical Review E. 2018 ; 97( 4-1):[citado 2024 set. 28 ] Available from: https://doi.org/10.1103/physreve.97.042408
  • Source: Frontiers in Computational Neuroscience. Unidade: FFCLRP

    Subjects: NEUROCIÊNCIAS, CIÊNCIA DA COMPUTAÇÃO, ELETROFISIOLOGIA, REDES NEURAIS

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    • ABNT

      TOMOV, Petar et al. Mechanisms of self-sustained oscillatory states in hierarchical modular networks with mixtures of electrophysiological cell types. Frontiers in Computational Neuroscience, 2016Tradução . . Disponível em: https://doi.org/10.3389/fncom.2016.00023. Acesso em: 28 set. 2024.
    • APA

      Tomov, P., Pena, R. F. O., Roque, A. C., & Zaks, M. A. (2016). Mechanisms of self-sustained oscillatory states in hierarchical modular networks with mixtures of electrophysiological cell types. Frontiers in Computational Neuroscience. doi:10.3389/fncom.2016.00023
    • NLM

      Tomov P, Pena RFO, Roque AC, Zaks MA. Mechanisms of self-sustained oscillatory states in hierarchical modular networks with mixtures of electrophysiological cell types [Internet]. Frontiers in Computational Neuroscience. 2016 ;[citado 2024 set. 28 ] Available from: https://doi.org/10.3389/fncom.2016.00023
    • Vancouver

      Tomov P, Pena RFO, Roque AC, Zaks MA. Mechanisms of self-sustained oscillatory states in hierarchical modular networks with mixtures of electrophysiological cell types [Internet]. Frontiers in Computational Neuroscience. 2016 ;[citado 2024 set. 28 ] Available from: https://doi.org/10.3389/fncom.2016.00023
  • Source: Frontiers in Computational Neuroscience. Unidade: FFCLRP

    Subjects: ELETROFISIOLOGIA, CÓRTEX CEREBRAL, FÍSICA COMPUTACIONAL (MODELOS)

    Acesso à fonteDOIHow to cite
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    • ABNT

      TOMOV, Petar et al. Sustained oscillations, irregular firing, and chaotic dynamics in hierarchical modular networks with mixtures of electrophysiological cell types. Frontiers in Computational Neuroscience, v. 8, 2014Tradução . . Disponível em: https://doi.org/10.3389/fncom.2014.00103. Acesso em: 28 set. 2024.
    • APA

      Tomov, P., Pena, R. F. O., Zaks, M. A., & Roque, A. C. (2014). Sustained oscillations, irregular firing, and chaotic dynamics in hierarchical modular networks with mixtures of electrophysiological cell types. Frontiers in Computational Neuroscience, 8. doi:10.3389/fncom.2014.00103
    • NLM

      Tomov P, Pena RFO, Zaks MA, Roque AC. Sustained oscillations, irregular firing, and chaotic dynamics in hierarchical modular networks with mixtures of electrophysiological cell types [Internet]. Frontiers in Computational Neuroscience. 2014 ; 8[citado 2024 set. 28 ] Available from: https://doi.org/10.3389/fncom.2014.00103
    • Vancouver

      Tomov P, Pena RFO, Zaks MA, Roque AC. Sustained oscillations, irregular firing, and chaotic dynamics in hierarchical modular networks with mixtures of electrophysiological cell types [Internet]. Frontiers in Computational Neuroscience. 2014 ; 8[citado 2024 set. 28 ] Available from: https://doi.org/10.3389/fncom.2014.00103

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