Filtros : "PROTACHEVICZ, PAULO RICARDO" Removido: "Chaos, Solitons Limpar

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  • Source: Journal of Physics: Complexity. Unidade: IF

    Subjects: REDES NEURAIS, NEUROCIÊNCIAS

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      SOUZA, Diogo Leonai M et al. Spiral wave dynamics in a neuronal network model. Journal of Physics: Complexity, v. 5, n. 2, 2024Tradução . . Disponível em: https://doi.org/10.1088/2632-072X/ad42f6. Acesso em: 14 out. 2024.
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      Souza, D. L. M., Protachevicz, P. R., Batista, A. M., & Caldas, I. L. (2024). Spiral wave dynamics in a neuronal network model. Journal of Physics: Complexity, 5( 2). doi:10.1088/2632-072X/ad42f6
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      Souza DLM, Protachevicz PR, Batista AM, Caldas IL. Spiral wave dynamics in a neuronal network model [Internet]. Journal of Physics: Complexity. 2024 ; 5( 2):[citado 2024 out. 14 ] Available from: https://doi.org/10.1088/2632-072X/ad42f6
    • Vancouver

      Souza DLM, Protachevicz PR, Batista AM, Caldas IL. Spiral wave dynamics in a neuronal network model [Internet]. Journal of Physics: Complexity. 2024 ; 5( 2):[citado 2024 out. 14 ] Available from: https://doi.org/10.1088/2632-072X/ad42f6
  • Source: Chaos. Unidade: IF

    Assunto: NEUROCIÊNCIAS

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      SOUZA, Diogo Leonai M et al. Adaptive exponential integrate-and-fire model with fractal extension. Chaos, v. 34, n. 2, 2024Tradução . . Disponível em: https://doi.org/10.1063/5.0176455. Acesso em: 14 out. 2024.
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      Souza, D. L. M., Gabrick, E. C., Protachevicz, P. R., Borges, F. da S., Trobia, J., Iarosz, K. C., et al. (2024). Adaptive exponential integrate-and-fire model with fractal extension. Chaos, 34( 2). doi:10.1063/5.0176455
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      Souza DLM, Gabrick EC, Protachevicz PR, Borges F da S, Trobia J, Iarosz KC, Batista AM, Caldas IL, Lenzi EK. Adaptive exponential integrate-and-fire model with fractal extension [Internet]. Chaos. 2024 ; 34( 2):[citado 2024 out. 14 ] Available from: https://doi.org/10.1063/5.0176455
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      Souza DLM, Gabrick EC, Protachevicz PR, Borges F da S, Trobia J, Iarosz KC, Batista AM, Caldas IL, Lenzi EK. Adaptive exponential integrate-and-fire model with fractal extension [Internet]. Chaos. 2024 ; 34( 2):[citado 2024 out. 14 ] Available from: https://doi.org/10.1063/5.0176455
  • Source: European Physical Journal Special Topics A. Unidade: IF

    Assunto: DENGUE

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      SILVA, Sidney T da et al. When climate variables improve the dengue forecasting: a machine learning approach. European Physical Journal Special Topics A, 2024Tradução . . Disponível em: https://doi.org/10.1140/epjs/s11734-024-01201-7. Acesso em: 14 out. 2024.
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      Silva, S. T. da, Gabrick, E. C., Protachevicz, P. R., Iarosz, K. C., Caldas, I. L., Batista, A. M., & Kurths, J. (2024). When climate variables improve the dengue forecasting: a machine learning approach. European Physical Journal Special Topics A. doi:10.1140/epjs/s11734-024-01201-7
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      Silva ST da, Gabrick EC, Protachevicz PR, Iarosz KC, Caldas IL, Batista AM, Kurths J. When climate variables improve the dengue forecasting: a machine learning approach [Internet]. European Physical Journal Special Topics A. 2024 ;[citado 2024 out. 14 ] Available from: https://doi.org/10.1140/epjs/s11734-024-01201-7
    • Vancouver

      Silva ST da, Gabrick EC, Protachevicz PR, Iarosz KC, Caldas IL, Batista AM, Kurths J. When climate variables improve the dengue forecasting: a machine learning approach [Internet]. European Physical Journal Special Topics A. 2024 ;[citado 2024 out. 14 ] Available from: https://doi.org/10.1140/epjs/s11734-024-01201-7
  • Source: Chaos, Solitons & Fractals. Unidade: IF

    Assunto: NEUROCIÊNCIAS

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      PROTACHEVICZ, Paulo Ricardo et al. Analytical solutions for the short-term plasticity. Chaos, Solitons & Fractals, v. 181, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2024.114678. Acesso em: 14 out. 2024.
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      Protachevicz, P. R., Batista, A. M., Caldas, I. L., & Baptista, M. S. (2024). Analytical solutions for the short-term plasticity. Chaos, Solitons & Fractals, 181. doi:10.1016/j.chaos.2024.114678
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      Protachevicz PR, Batista AM, Caldas IL, Baptista MS. Analytical solutions for the short-term plasticity [Internet]. Chaos, Solitons & Fractals. 2024 ; 181[citado 2024 out. 14 ] Available from: https://doi.org/10.1016/j.chaos.2024.114678
    • Vancouver

      Protachevicz PR, Batista AM, Caldas IL, Baptista MS. Analytical solutions for the short-term plasticity [Internet]. Chaos, Solitons & Fractals. 2024 ; 181[citado 2024 out. 14 ] Available from: https://doi.org/10.1016/j.chaos.2024.114678
  • Source: Chaos: An Interdisciplinary Journal of Nonlinear Science. Unidade: IF

    Subjects: FÍSICA MATEMÁTICA, CAOS (SISTEMAS DINÂMICOS), SISTEMAS NÃO LINEARES

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      BOARETTO, Bruno R. R. et al. Phase synchronization in a sparse network of randomly connected neurons under the effect of poissonian spike inputs. Chaos: An Interdisciplinary Journal of Nonlinear Science, v. 33, n. 12, 2023Tradução . . Disponível em: https://doi.org/10.1063/5.0179912. Acesso em: 14 out. 2024.
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      Boaretto, B. R. R., Protachevicz, P. R., Hansen, M., Oliveira, J., Andreani, A. C., & Macau, E. E. N. (2023). Phase synchronization in a sparse network of randomly connected neurons under the effect of poissonian spike inputs. Chaos: An Interdisciplinary Journal of Nonlinear Science, 33( 12). doi:10.1063/5.0179912
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      Boaretto BRR, Protachevicz PR, Hansen M, Oliveira J, Andreani AC, Macau EEN. Phase synchronization in a sparse network of randomly connected neurons under the effect of poissonian spike inputs [Internet]. Chaos: An Interdisciplinary Journal of Nonlinear Science. 2023 ; 33( 12):[citado 2024 out. 14 ] Available from: https://doi.org/10.1063/5.0179912
    • Vancouver

      Boaretto BRR, Protachevicz PR, Hansen M, Oliveira J, Andreani AC, Macau EEN. Phase synchronization in a sparse network of randomly connected neurons under the effect of poissonian spike inputs [Internet]. Chaos: An Interdisciplinary Journal of Nonlinear Science. 2023 ; 33( 12):[citado 2024 out. 14 ] Available from: https://doi.org/10.1063/5.0179912
  • Source: Chaos, Solitons & Fractals. Unidade: IF

    Subjects: MODELOS MATEMÁTICOS, INTERDISCIPLINARIDADE

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      PROTACHEVICZ, Paulo Ricardo et al. Plastic neural network with transmission delays promotes equivalence between function and structure. Chaos, Solitons & Fractals, v. 171, n. ju 2023, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2023.113480. Acesso em: 14 out. 2024.
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      Protachevicz, P. R., Borges, F. da S., Batista, A. M., Baptista, M. da S., Caldas, I. L., Macau, E. E. N., & Lameu, E. L. (2023). Plastic neural network with transmission delays promotes equivalence between function and structure. Chaos, Solitons & Fractals, 171( ju 2023). doi:10.1016/j.chaos.2023.113480
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      Protachevicz PR, Borges F da S, Batista AM, Baptista M da S, Caldas IL, Macau EEN, Lameu EL. Plastic neural network with transmission delays promotes equivalence between function and structure [Internet]. Chaos, Solitons & Fractals. 2023 ; 171( ju 2023):[citado 2024 out. 14 ] Available from: https://doi.org/10.1016/j.chaos.2023.113480
    • Vancouver

      Protachevicz PR, Borges F da S, Batista AM, Baptista M da S, Caldas IL, Macau EEN, Lameu EL. Plastic neural network with transmission delays promotes equivalence between function and structure [Internet]. Chaos, Solitons & Fractals. 2023 ; 171( ju 2023):[citado 2024 out. 14 ] Available from: https://doi.org/10.1016/j.chaos.2023.113480
  • Source: Fractal and Fractional. Unidade: IF

    Subjects: BIOFÍSICA, EQUAÇÕES, SINGULARIDADES, EQUAÇÕES DIFERENCIAIS

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      GABRICK, Enrique C. et al. Fractional diffusion equation under singular and non-singular kernel and its stability. Fractal and Fractional, v. no 2023, n. 11, 2023Tradução . . Disponível em: https://doi.org/10.3390/fractalfract7110792. Acesso em: 14 out. 2024.
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      Gabrick, E. C., Protachevicz, P. R., Lenzi, E. K., Sayari, E., Trobia, J., Lenzi, M. K., et al. (2023). Fractional diffusion equation under singular and non-singular kernel and its stability. Fractal and Fractional, no 2023( 11). doi:10.3390/fractalfract7110792
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      Gabrick EC, Protachevicz PR, Lenzi EK, Sayari E, Trobia J, Lenzi MK, Borges FS, Batista AM, Caldas IL. Fractional diffusion equation under singular and non-singular kernel and its stability [Internet]. Fractal and Fractional. 2023 ; no 2023( 11):[citado 2024 out. 14 ] Available from: https://doi.org/10.3390/fractalfract7110792
    • Vancouver

      Gabrick EC, Protachevicz PR, Lenzi EK, Sayari E, Trobia J, Lenzi MK, Borges FS, Batista AM, Caldas IL. Fractional diffusion equation under singular and non-singular kernel and its stability [Internet]. Fractal and Fractional. 2023 ; no 2023( 11):[citado 2024 out. 14 ] Available from: https://doi.org/10.3390/fractalfract7110792
  • Source: Epilepsy & Behavior. Unidade: IF

    Subjects: BIOFÍSICA, BIOMARCADORES, EPILEPSIA DO LOBO TEMPORAL, REDES NEURAIS, CONVULSÕES

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      BORGES, F. S. e PROTACHEVICZ, R. P. Intermittency properties in a temporal lobe epilepsy model. Epilepsy & Behavior, v. 139, p. 9 , 2023Tradução . . Disponível em: https://doi.org/10.1016/j.yebeh.2022.109072. Acesso em: 14 out. 2024.
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      Borges, F. S., & Protachevicz, R. P. (2023). Intermittency properties in a temporal lobe epilepsy model. Epilepsy & Behavior, 139, 9 . doi:10.1016/j.yebeh.2022.109072
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      Borges FS, Protachevicz RP. Intermittency properties in a temporal lobe epilepsy model [Internet]. Epilepsy & Behavior. 2023 ; 139 9 .[citado 2024 out. 14 ] Available from: https://doi.org/10.1016/j.yebeh.2022.109072
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      Borges FS, Protachevicz RP. Intermittency properties in a temporal lobe epilepsy model [Internet]. Epilepsy & Behavior. 2023 ; 139 9 .[citado 2024 out. 14 ] Available from: https://doi.org/10.1016/j.yebeh.2022.109072
  • Source: Brain Sciences. Unidade: IF

    Subjects: POTÁSSIO, CÁLCIO, EPILEPSIA, SINCRONIZAÇÃO

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      BORGES, Fernando S. e PROTACHEVICZ, Paulo Ricardo e CALDAS, Iberê Luiz. The roles of potassium and calcium currents in the bistable firing transition. Brain Sciences, v. 13, n. 9, 2023Tradução . . Disponível em: https://doi.org/10.3390/brainsci13091347. Acesso em: 14 out. 2024.
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      Borges, F. S., Protachevicz, P. R., & Caldas, I. L. (2023). The roles of potassium and calcium currents in the bistable firing transition. Brain Sciences, 13( 9). doi:10.3390/brainsci13091347
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      Borges FS, Protachevicz PR, Caldas IL. The roles of potassium and calcium currents in the bistable firing transition [Internet]. Brain Sciences. 2023 ; 13( 9):[citado 2024 out. 14 ] Available from: https://doi.org/10.3390/brainsci13091347
    • Vancouver

      Borges FS, Protachevicz PR, Caldas IL. The roles of potassium and calcium currents in the bistable firing transition [Internet]. Brain Sciences. 2023 ; 13( 9):[citado 2024 out. 14 ] Available from: https://doi.org/10.3390/brainsci13091347
  • Source: Chaos, Solitons & Fractals. Unidade: IF

    Subjects: MODELOS MATEMÁTICOS, INTERDISCIPLINARIDADE

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      GABRICK, Enrique C et al. Unpredictability in seasonal infectious diseases spread. Chaos, Solitons & Fractals, v. 166, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2022.113001. Acesso em: 14 out. 2024.
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      Gabrick, E. C., Sayari, E., Protachevicz, P. R., Szezech Junior, J. D., Iarosz, K. C., Souza, S. L. T. de, et al. (2023). Unpredictability in seasonal infectious diseases spread. Chaos, Solitons & Fractals, 166. doi:10.1016/j.chaos.2022.113001
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      Gabrick EC, Sayari E, Protachevicz PR, Szezech Junior JD, Iarosz KC, Souza SLT de, Almeida ACL, Viana RL, Batista AM, Caldas IL. Unpredictability in seasonal infectious diseases spread [Internet]. Chaos, Solitons & Fractals. 2023 ; 166[citado 2024 out. 14 ] Available from: https://doi.org/10.1016/j.chaos.2022.113001
    • Vancouver

      Gabrick EC, Sayari E, Protachevicz PR, Szezech Junior JD, Iarosz KC, Souza SLT de, Almeida ACL, Viana RL, Batista AM, Caldas IL. Unpredictability in seasonal infectious diseases spread [Internet]. Chaos, Solitons & Fractals. 2023 ; 166[citado 2024 out. 14 ] Available from: https://doi.org/10.1016/j.chaos.2022.113001
  • Source: CHAOS. Unidade: IF

    Subjects: BIOFÍSICA, NEUROCIÊNCIAS, REDES NEURAIS, SINCRONIZAÇÃO

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      SAYARI, Elaheh et al. Analyzing bursting synchronization in structural connectivity matrix of a human brain under external pulsed currents. CHAOS, v. 33, n. 3, 2023Tradução . . Disponível em: https://doi.org/10.1063/5.0135399. Acesso em: 14 out. 2024.
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      Sayari, E., Gabrick, E. C., Borges, F. S., Cruziniani, F. E., Protachevicz, R. P., Iarosz, K., et al. (2023). Analyzing bursting synchronization in structural connectivity matrix of a human brain under external pulsed currents. CHAOS, 33( 3). doi:10.1063/5.0135399
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      Sayari E, Gabrick EC, Borges FS, Cruziniani FE, Protachevicz RP, Iarosz K, Szezech JD, Batista A. Analyzing bursting synchronization in structural connectivity matrix of a human brain under external pulsed currents [Internet]. CHAOS. 2023 ; 33( 3):[citado 2024 out. 14 ] Available from: https://doi.org/10.1063/5.0135399
    • Vancouver

      Sayari E, Gabrick EC, Borges FS, Cruziniani FE, Protachevicz RP, Iarosz K, Szezech JD, Batista A. Analyzing bursting synchronization in structural connectivity matrix of a human brain under external pulsed currents [Internet]. CHAOS. 2023 ; 33( 3):[citado 2024 out. 14 ] Available from: https://doi.org/10.1063/5.0135399
  • Source: Journal of Computational Neuroscience. Conference titles: Annual Computational Neuroscience Meeting: CNS*2021–Meeting Abstracts. Unidade: IF

    Assunto: NEUROCIÊNCIAS

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      PROTACHEVICZ, Paulo Ricardo et al. Correction to: 30th Annual Computational Neuroscience Meeting: CNS*2021–Meeting Abstracts. Journal of Computational Neuroscience. Berlin: Springer. Disponível em: https://doi.org/10.1007/s10827-021-00801-9. Acesso em: 14 out. 2024. , 2022
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      Protachevicz, P. R., Hansen, M., Iarosz, K. C., Caldas, I. L., & Batista, A. M. (2022). Correction to: 30th Annual Computational Neuroscience Meeting: CNS*2021–Meeting Abstracts. Journal of Computational Neuroscience. Berlin: Springer. doi:10.1007/s10827-021-00801-9
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      Protachevicz PR, Hansen M, Iarosz KC, Caldas IL, Batista AM. Correction to: 30th Annual Computational Neuroscience Meeting: CNS*2021–Meeting Abstracts [Internet]. Journal of Computational Neuroscience. 2022 ; 50 273.[citado 2024 out. 14 ] Available from: https://doi.org/10.1007/s10827-021-00801-9
    • Vancouver

      Protachevicz PR, Hansen M, Iarosz KC, Caldas IL, Batista AM. Correction to: 30th Annual Computational Neuroscience Meeting: CNS*2021–Meeting Abstracts [Internet]. Journal of Computational Neuroscience. 2022 ; 50 273.[citado 2024 out. 14 ] Available from: https://doi.org/10.1007/s10827-021-00801-9
  • Unidade: IF

    Subjects: MODELOS MATEMÁTICOS, INTERDISCIPLINARIDADE

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      GABRICK, Enrique C. et al. Unpredictability in seasonal infectious diseases spread. . São Paulo: Instituto de Física, Universidade de São Paulo. Disponível em: https://arxiv.org/pdf/2212.04244v1.pdf. Acesso em: 14 out. 2024. , 2022
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      Gabrick, E. C., Sayari, E., Protachevicz, P. R., Szezech Jr., J. D., Iarosz, K. C., Souza, S. L. T. de, et al. (2022). Unpredictability in seasonal infectious diseases spread. São Paulo: Instituto de Física, Universidade de São Paulo. Recuperado de https://arxiv.org/pdf/2212.04244v1.pdf
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      Gabrick EC, Sayari E, Protachevicz PR, Szezech Jr. JD, Iarosz KC, Souza SLT de, Almeida ACL, Viana L, Batista AM, Caldas IL. Unpredictability in seasonal infectious diseases spread [Internet]. 2022 ;[citado 2024 out. 14 ] Available from: https://arxiv.org/pdf/2212.04244v1.pdf
    • Vancouver

      Gabrick EC, Sayari E, Protachevicz PR, Szezech Jr. JD, Iarosz KC, Souza SLT de, Almeida ACL, Viana L, Batista AM, Caldas IL. Unpredictability in seasonal infectious diseases spread [Internet]. 2022 ;[citado 2024 out. 14 ] Available from: https://arxiv.org/pdf/2212.04244v1.pdf
  • Source: Chaos, Solitons & Fractals. Unidade: IF

    Subjects: CAOS (SISTEMAS DINÂMICOS), COMPORTAMENTO CAÓTICO NOS SISTEMAS

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      TROBIA, José et al. On the dynamical behaviour of a glucose-insulin model. Chaos, Solitons & Fractals, n. 2, p. 111753/1-111753/8, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2021.111753. Acesso em: 14 out. 2024.
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      Trobia, J., Souza, S. L. T. de, Santos, M. A. dos, Szezech Junior, J. D., Batista, A. M., Borges, R. R., et al. (2022). On the dynamical behaviour of a glucose-insulin model. Chaos, Solitons & Fractals, ( 2), 111753/1-111753/8. doi:10.1016/j.chaos.2021.111753
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      Trobia J, Souza SLT de, Santos MA dos, Szezech Junior JD, Batista AM, Borges RR, Pereira L da S, Protachevicz PR, Caldas IL, Iarosz KC. On the dynamical behaviour of a glucose-insulin model [Internet]. Chaos, Solitons & Fractals. 2022 ;( 2): 111753/1-111753/8.[citado 2024 out. 14 ] Available from: https://doi.org/10.1016/j.chaos.2021.111753
    • Vancouver

      Trobia J, Souza SLT de, Santos MA dos, Szezech Junior JD, Batista AM, Borges RR, Pereira L da S, Protachevicz PR, Caldas IL, Iarosz KC. On the dynamical behaviour of a glucose-insulin model [Internet]. Chaos, Solitons & Fractals. 2022 ;( 2): 111753/1-111753/8.[citado 2024 out. 14 ] Available from: https://doi.org/10.1016/j.chaos.2021.111753
  • Source: Cognitive Neurodynamics. Unidade: IF

    Assunto: REDES NEURAIS

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      PROTACHEVICZ, Paulo Ricardo et al. Large coefficient of variation of inter-spike intervals induced by noise current in the resonate-and-fire model neuron. Cognitive Neurodynamics, v. 16, p. 1461–1470, 2022Tradução . . Disponível em: https://doi.org/10.1007/s11571-022-09789-z. Acesso em: 14 out. 2024.
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      Protachevicz, P. R., Batista, A. M., Bonin, C. A., Caldas, I. L., Iarosz, K. C., & Batista, A. M. (2022). Large coefficient of variation of inter-spike intervals induced by noise current in the resonate-and-fire model neuron. Cognitive Neurodynamics, 16, 1461–1470. doi:10.1007/s11571-022-09789-z
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      Protachevicz PR, Batista AM, Bonin CA, Caldas IL, Iarosz KC, Batista AM. Large coefficient of variation of inter-spike intervals induced by noise current in the resonate-and-fire model neuron [Internet]. Cognitive Neurodynamics. 2022 ; 16 1461–1470.[citado 2024 out. 14 ] Available from: https://doi.org/10.1007/s11571-022-09789-z
    • Vancouver

      Protachevicz PR, Batista AM, Bonin CA, Caldas IL, Iarosz KC, Batista AM. Large coefficient of variation of inter-spike intervals induced by noise current in the resonate-and-fire model neuron [Internet]. Cognitive Neurodynamics. 2022 ; 16 1461–1470.[citado 2024 out. 14 ] Available from: https://doi.org/10.1007/s11571-022-09789-z
  • Source: Chaos, Solitons & Fractals. Unidade: IF

    Subjects: REDES NEURAIS, SINCRONIZAÇÃO

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      HANSEN, Matheus et al. The effect of time delay for synchronisation suppression in neuronal networks. Chaos, Solitons & Fractals, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2022.112690. Acesso em: 14 out. 2024.
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      Hansen, M., Batista, A. M., Protachevicz, P. R., Caldas, I. L., Iarosz, K. C., & Macau, E. E. N. (2022). The effect of time delay for synchronisation suppression in neuronal networks. Chaos, Solitons & Fractals. doi:10.1016/j.chaos.2022.112690
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      Hansen M, Batista AM, Protachevicz PR, Caldas IL, Iarosz KC, Macau EEN. The effect of time delay for synchronisation suppression in neuronal networks [Internet]. Chaos, Solitons & Fractals. 2022 ;[citado 2024 out. 14 ] Available from: https://doi.org/10.1016/j.chaos.2022.112690
    • Vancouver

      Hansen M, Batista AM, Protachevicz PR, Caldas IL, Iarosz KC, Macau EEN. The effect of time delay for synchronisation suppression in neuronal networks [Internet]. Chaos, Solitons & Fractals. 2022 ;[citado 2024 out. 14 ] Available from: https://doi.org/10.1016/j.chaos.2022.112690
  • Source: Chaos, Solitons & Fractals. Unidade: IF

    Assunto: SINCRONIZAÇÃO

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      HANSEN, Matheus et al. Dynamics of uncoupled and coupled neurons under an external pulsed current. Chaos, Solitons & Fractals, v. 155, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2021.111734. Acesso em: 14 out. 2024.
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      Hansen, M., Protachevicz, P. R., Caldas, I. L., Iarosz, K. C., Macau, E. E. N., & Batista, A. M. (2022). Dynamics of uncoupled and coupled neurons under an external pulsed current. Chaos, Solitons & Fractals, 155. doi:10.1016/j.chaos.2021.111734
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      Hansen M, Protachevicz PR, Caldas IL, Iarosz KC, Macau EEN, Batista AM. Dynamics of uncoupled and coupled neurons under an external pulsed current [Internet]. Chaos, Solitons & Fractals. 2022 ; 155[citado 2024 out. 14 ] Available from: https://doi.org/10.1016/j.chaos.2021.111734
    • Vancouver

      Hansen M, Protachevicz PR, Caldas IL, Iarosz KC, Macau EEN, Batista AM. Dynamics of uncoupled and coupled neurons under an external pulsed current [Internet]. Chaos, Solitons & Fractals. 2022 ; 155[citado 2024 out. 14 ] Available from: https://doi.org/10.1016/j.chaos.2021.111734
  • Source: Chaos, Solitons & Fractals. Unidade: IF

    Assunto: IMUNIDADE

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    • ABNT

      MUGNAINE, Michele et al. Control attenuation and temporary immunity in a cellular automata SEIR epidemic model. Chaos, Solitons & Fractals, v. 155, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2021.111784. Acesso em: 14 out. 2024.
    • APA

      Mugnaine, M., Gabrick, E. C., Protachevicz, P. R., Caldas, I. L., Iarosz, K. C., Souza, S. L. T. de, et al. (2022). Control attenuation and temporary immunity in a cellular automata SEIR epidemic model. Chaos, Solitons & Fractals, 155. doi:10.1016/j.chaos.2021.111784
    • NLM

      Mugnaine M, Gabrick EC, Protachevicz PR, Caldas IL, Iarosz KC, Souza SLT de, Almeida ACL, Batista AM, Szezech Jr. JD, Viana RL. Control attenuation and temporary immunity in a cellular automata SEIR epidemic model [Internet]. Chaos, Solitons & Fractals. 2022 ; 155[citado 2024 out. 14 ] Available from: https://doi.org/10.1016/j.chaos.2021.111784
    • Vancouver

      Mugnaine M, Gabrick EC, Protachevicz PR, Caldas IL, Iarosz KC, Souza SLT de, Almeida ACL, Batista AM, Szezech Jr. JD, Viana RL. Control attenuation and temporary immunity in a cellular automata SEIR epidemic model [Internet]. Chaos, Solitons & Fractals. 2022 ; 155[citado 2024 out. 14 ] Available from: https://doi.org/10.1016/j.chaos.2021.111784
  • Unidade: IF

    Subjects: TOPOLOGIA, REDES NEURAIS

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    • ABNT

      PROTACHEVICZ, Paulo Ricardo et al. Plastic neural network with transmission delays promotes equivalence between function and structure. . São Paulo: Instituto de Física, Universidade de São Paulo. Disponível em: https://arxiv.org/pdf/2211.05644.pdf. Acesso em: 14 out. 2024. , 2022
    • APA

      Protachevicz, P. R., Borges, F. S., Batista, A. M., Baptista, M. S., Macau, E. E. N., Lameu, E. L., & Caldas, I. L. (2022). Plastic neural network with transmission delays promotes equivalence between function and structure. São Paulo: Instituto de Física, Universidade de São Paulo. Recuperado de https://arxiv.org/pdf/2211.05644.pdf
    • NLM

      Protachevicz PR, Borges FS, Batista AM, Baptista MS, Macau EEN, Lameu EL, Caldas IL. Plastic neural network with transmission delays promotes equivalence between function and structure [Internet]. 2022 ;[citado 2024 out. 14 ] Available from: https://arxiv.org/pdf/2211.05644.pdf
    • Vancouver

      Protachevicz PR, Borges FS, Batista AM, Baptista MS, Macau EEN, Lameu EL, Caldas IL. Plastic neural network with transmission delays promotes equivalence between function and structure [Internet]. 2022 ;[citado 2024 out. 14 ] Available from: https://arxiv.org/pdf/2211.05644.pdf
  • Source: Frontiers in Computational Neuroscience. Unidade: IF

    Subjects: NEUROCIÊNCIAS, REDES NEURAIS, SISTEMAS NÃO LINEARES, MEMÓRIA, CÓRTEX CEREBRAL, SINAPSE, NEURÔNIOS

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      PROTACHEVICZ, R. P. et al. Emergence of Neuronal Synchronisation in Coupled Areas. Frontiers in Computational Neuroscience, v. 15, 2021Tradução . . Disponível em: https://doi.org/10.3389/fncom.2021.663408. Acesso em: 14 out. 2024.
    • APA

      Protachevicz, R. P., Hansen, M., Iarosz, K., Caldas, I. L., Batista, A., & Kurths, J. (2021). Emergence of Neuronal Synchronisation in Coupled Areas. Frontiers in Computational Neuroscience, 15. doi:10.3389/fncom.2021.663408
    • NLM

      Protachevicz RP, Hansen M, Iarosz K, Caldas IL, Batista A, Kurths J. Emergence of Neuronal Synchronisation in Coupled Areas [Internet]. Frontiers in Computational Neuroscience. 2021 ; 15[citado 2024 out. 14 ] Available from: https://doi.org/10.3389/fncom.2021.663408
    • Vancouver

      Protachevicz RP, Hansen M, Iarosz K, Caldas IL, Batista A, Kurths J. Emergence of Neuronal Synchronisation in Coupled Areas [Internet]. Frontiers in Computational Neuroscience. 2021 ; 15[citado 2024 out. 14 ] Available from: https://doi.org/10.3389/fncom.2021.663408

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