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Artigo de periodico
Spiral wave dynamics in a neuronal network model (2024)
Souza, Diogo Leonai M ; Protachevicz, Paulo Ricardo ; Batista, Antonio Marcos ; Caldas, Iberê Luiz
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: 18 nov. 2024.
APA
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
NLM
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 nov. 18 ] 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 nov. 18 ] Available from: https://doi.org/10.1088/2632-072X/ad42f6
Artigo de periodico
When climate variables improve the dengue forecasting: a machine learning approach (2024)
Silva, Sidney T da; Gabrick, Enrique Chipicoski ; Protachevicz, Paulo Ricardo ; Iarosz, Kelly Cristiane ; Caldas, Iberê Luiz ; Batista, Antonio Marcos ; Kurths, Jürgen
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: 18 nov. 2024.
APA
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
NLM
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 nov. 18 ] 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 nov. 18 ] Available from: https://doi.org/10.1140/epjs/s11734-024-01201-7
Artigo de periodico
Analytical solutions for the short-term plasticity (2024)
Protachevicz, Paulo Ricardo ; Batista, Antonio Marcos ; Caldas, Iberê Luiz ; Baptista, Murilo Silva
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: 18 nov. 2024.
APA
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
NLM
Protachevicz PR, Batista AM, Caldas IL, Baptista MS. Analytical solutions for the short-term plasticity [Internet]. Chaos, Solitons & Fractals. 2024 ; 181[citado 2024 nov. 18 ] 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 nov. 18 ] Available from: https://doi.org/10.1016/j.chaos.2024.114678
Artigo de periodico
Plastic neural network with transmission delays promotes equivalence between function and structure (2023)
Protachevicz, Paulo Ricardo ; Borges, Fernando da Silva; Batista, Antonio Marcos; Baptista, Murilo da Silva; Caldas, Iberê Luiz ; Macau, Elbert Einstein Nehrer; Lameu, Ewandson Luiz
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: 18 nov. 2024.
APA
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
NLM
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 nov. 18 ] 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 nov. 18 ] Available from: https://doi.org/10.1016/j.chaos.2023.113480
Artigo de periodico
Fractional diffusion equation under singular and non-singular kernel and its stability (2023)
Gabrick, Enrique C.; Protachevicz, Paulo Ricardo ; Lenzi, Ervin K.; Sayari, Elaheh; Trobia, Jose; Lenzi, Marcelo K.; Borges, Fernando S.; Batista, Antonio M.; Caldas, Iberê Luiz
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: 18 nov. 2024.
APA
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
NLM
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 nov. 18 ] 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 nov. 18 ] Available from: https://doi.org/10.3390/fractalfract7110792
Artigo de periodico
Intermittency properties in a temporal lobe epilepsy model (2023)
Borges, F. S.; Protachevicz, R. P.
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: 18 nov. 2024.
APA
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
NLM
Borges FS, Protachevicz RP. Intermittency properties in a temporal lobe epilepsy model [Internet]. Epilepsy & Behavior. 2023 ; 139 9 .[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.yebeh.2022.109072
Vancouver
Borges FS, Protachevicz RP. Intermittency properties in a temporal lobe epilepsy model [Internet]. Epilepsy & Behavior. 2023 ; 139 9 .[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.yebeh.2022.109072
Artigo de periodico
The roles of potassium and calcium currents in the bistable firing transition (2023)
Borges, Fernando S.; Protachevicz, Paulo Ricardo ; Caldas, Iberê Luiz
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: 18 nov. 2024.
APA
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
NLM
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 nov. 18 ] 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 nov. 18 ] Available from: https://doi.org/10.3390/brainsci13091347
Artigo de periodico
Unpredictability in seasonal infectious diseases spread (2023)
Gabrick, Enrique C; Sayari, Elaheh ; Protachevicz, Paulo Ricardo ; Szezech Junior, José Danilo ; Iarosz, Kelly Cristiane ; Souza, Silvio Luiz Thomaz de ; Almeida, Alexandre C L; Viana, Ricardo Luiz ; Batista, Antonio Marcos ; Caldas, Iberê Luiz
Source: Chaos, Solitons & Fractals. Unidade: IF
Subjects: MODELOS MATEMÁTICOS, INTERDISCIPLINARIDADE
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ABNT
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: 18 nov. 2024.
APA
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
NLM
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 nov. 18 ] 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 nov. 18 ] Available from: https://doi.org/10.1016/j.chaos.2022.113001
Trabalho de evento-resumo periodico
Correction to: 30th Annual Computational Neuroscience Meeting: CNS*2021–Meeting Abstracts (2022)
Protachevicz, Paulo Ricardo ; Hansen, Matheus ; Iarosz, Kelly Cristiane ; Caldas, Iberê Luiz ; Batista, Antonio Marcos
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: 18 nov. 2024. , 2022
APA
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
NLM
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 nov. 18 ] 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 nov. 18 ] Available from: https://doi.org/10.1007/s10827-021-00801-9
Relatorio tecnico
Unpredictability in seasonal infectious diseases spread (2022)
Gabrick, Enrique C.; Sayari, Elaheh; Protachevicz, Paulo Ricardo ; Szezech Jr., José D.; Iarosz, Kelly C.; Souza, Silvio L.T. de; Almeida, Alexandre C. L.; Viana, L.; Batista, Antonio M.; Caldas, Iberê Luiz
Unidade: IF
Subjects: MODELOS MATEMÁTICOS, INTERDISCIPLINARIDADE
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ABNT
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: 18 nov. 2024. , 2022
APA
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
NLM
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 nov. 18 ] 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 nov. 18 ] Available from: https://arxiv.org/pdf/2212.04244v1.pdf
Artigo de periodico
Large coefficient of variation of inter-spike intervals induced by noise current in the resonate-and-fire model neuron (2022)
Protachevicz, Paulo Ricardo ; Batista, Antonio Marcos ; Bonin, C A; Caldas, Iberê Luiz ; Iarosz, Kelly Cristiane ; Batista, A M
Source: Cognitive Neurodynamics. Unidade: IF
Assunto: REDES NEURAIS
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ABNT
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: 18 nov. 2024.
APA
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
NLM
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 nov. 18 ] 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 nov. 18 ] Available from: https://doi.org/10.1007/s11571-022-09789-z
Artigo de periodico
On the dynamical behaviour of a glucose-insulin model (2022)
Trobia, José ; Souza, Silvio Luiz Thomaz de ; Santos, Margarete A dos; Szezech Junior, José Danilo ; Batista, Antonio Marcos ; Borges, Rafael R; Pereira, Leandro da S; Protachevicz, Paulo Ricardo ; Caldas, Iberê Luiz ; Iarosz, Kelly Cristiane
Source: Chaos, Solitons & Fractals. Unidade: IF
Subjects: CAOS (SISTEMAS DINÂMICOS), COMPORTAMENTO CAÓTICO NOS SISTEMAS
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ABNT
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: 18 nov. 2024.
APA
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
NLM
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 nov. 18 ] 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 nov. 18 ] Available from: https://doi.org/10.1016/j.chaos.2021.111753
Artigo de periodico
The effect of time delay for synchronisation suppression in neuronal networks (2022)
Hansen, Matheus ; Batista, Antonio Marcos ; Protachevicz, Paulo Ricardo ; Caldas, Iberê Luiz ; Iarosz, Kelly Cristiane ; Macau, Elbert Einstein Nehrer
Source: Chaos, Solitons & Fractals. Unidade: IF
Subjects: REDES NEURAIS, SINCRONIZAÇÃO
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ABNT
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: 18 nov. 2024.
APA
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
NLM
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 nov. 18 ] 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 nov. 18 ] Available from: https://doi.org/10.1016/j.chaos.2022.112690
Artigo de periodico
Dynamics of uncoupled and coupled neurons under an external pulsed current (2022)
Hansen, Matheus ; Protachevicz, Paulo Ricardo ; Caldas, Iberê Luiz ; Iarosz, Kelly Cristiane ; Macau, Elbert E N ; Batista, Antonio Marcos
Source: Chaos, Solitons & Fractals. Unidade: IF
Assunto: SINCRONIZAÇÃO
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ABNT
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: 18 nov. 2024.
APA
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
NLM
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 nov. 18 ] 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 nov. 18 ] Available from: https://doi.org/10.1016/j.chaos.2021.111734
Artigo de periodico
Control attenuation and temporary immunity in a cellular automata SEIR epidemic model (2022)
Mugnaine, Michele ; Gabrick, Enrique C; Protachevicz, Paulo Ricardo ; Caldas, Iberê Luiz ; Iarosz, Kelly Cristiane ; Souza, Silvio L T de; Almeida, Alexandre C L; Batista, Antonio Marcos ; Szezech Jr., José Danilo; Viana, Ricardo L
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: 18 nov. 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 nov. 18 ] 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 nov. 18 ] Available from: https://doi.org/10.1016/j.chaos.2021.111784
Relatorio tecnico
Plastic neural network with transmission delays promotes equivalence between function and structure (2022)
Protachevicz, Paulo Ricardo ; Borges, F. S.; Batista, A. M.; Baptista, M. S.; Macau, E. E. N.; Lameu, E. L.; Caldas, Iberê Luiz
Unidade: IF
Subjects: TOPOLOGIA, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 18 nov. 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 nov. 18 ] 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 nov. 18 ] Available from: https://arxiv.org/pdf/2211.05644.pdf
Artigo de periodico
Emergence of Neuronal Synchronisation in Coupled Areas (2021)
Protachevicz, R. P. ; Hansen, Matheus; Iarosz, Kelly ; Caldas, Iberê Luiz ; Batista, Antonio ; Kurths, Jürgen
Source: Frontiers in Computational Neuroscience. Unidade: IF
Subjects: NEUROCIÊNCIAS, REDES NEURAIS, SISTEMAS NÃO LINEARES, MEMÓRIA, CÓRTEX CEREBRAL, SINAPSE, NEURÔNIOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 18 nov. 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 nov. 18 ] 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 nov. 18 ] Available from: https://doi.org/10.3389/fncom.2021.663408
Artigo de periodico
Mathematical model of brain tumour growth with drug resistance (2021)
Trobia, José; Tian, Kun; Batista, Antonio ; Grebogi, Celso; Ren, Hai-Peng; Santos, Moises S.; Protachevicz, R. P. ; Borges, Fernando S.; Szezech, Jose Danilo ; Viana, Ricardo L.; Caldas, Iberê Luiz ; Iarosz, Kelly C.
Source: Communications in Nonlinear Science and Numerical Simulation. Unidade: IF
Subjects: FÍSICA MATEMÁTICA, BIOFÍSICA, GLIOMA, QUIMIOTERAPIA, NEOPLASIAS CEREBRAIS, EQUAÇÕES DIFERENCIAIS DA FÍSICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TROBIA, José et al. Mathematical model of brain tumour growth with drug resistance. Communications in Nonlinear Science and Numerical Simulation, v. 103, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.cnsns.2021.106013. Acesso em: 18 nov. 2024.
APA
Trobia, J., Tian, K., Batista, A., Grebogi, C., Ren, H. -P., Santos, M. S., et al. (2021). Mathematical model of brain tumour growth with drug resistance. Communications in Nonlinear Science and Numerical Simulation, 103. doi:10.1016/j.cnsns.2021.106013
NLM
Trobia J, Tian K, Batista A, Grebogi C, Ren H-P, Santos MS, Protachevicz RP, Borges FS, Szezech JD, Viana RL, Caldas IL, Iarosz KC. Mathematical model of brain tumour growth with drug resistance [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2021 ; 103[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.cnsns.2021.106013
Vancouver
Trobia J, Tian K, Batista A, Grebogi C, Ren H-P, Santos MS, Protachevicz RP, Borges FS, Szezech JD, Viana RL, Caldas IL, Iarosz KC. Mathematical model of brain tumour growth with drug resistance [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2021 ; 103[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.cnsns.2021.106013
Artigo de periodico
Short-term and spike-timing-dependent plasticity facilitate the formation of modular neural networks (2021)
Lameu, Ewandson Luiz ; Borges, Fernando S.; Iarosz, Kelly ; Protachevicz, R. P. ; Antonopoulos, Chris G. ; Macau, Elbert E.N.; Batista, Antonio
Source: Communications in Nonlinear Science and Numerical Simulation. Unidade: IF
Subjects: BIOFÍSICA, REDES NEURAIS, PLASTICIDADE NEURONAL, SINAPSE, NEUROTRANSMISSORES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LAMEU, Ewandson Luiz et al. Short-term and spike-timing-dependent plasticity facilitate the formation of modular neural networks. Communications in Nonlinear Science and Numerical Simulation, v. 96, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.cnsns.2020.105689. Acesso em: 18 nov. 2024.
APA
Lameu, E. L., Borges, F. S., Iarosz, K., Protachevicz, R. P., Antonopoulos, C. G., Macau, E. E. N., & Batista, A. (2021). Short-term and spike-timing-dependent plasticity facilitate the formation of modular neural networks. Communications in Nonlinear Science and Numerical Simulation, 96. doi:10.1016/j.cnsns.2020.105689
NLM
Lameu EL, Borges FS, Iarosz K, Protachevicz RP, Antonopoulos CG, Macau EEN, Batista A. Short-term and spike-timing-dependent plasticity facilitate the formation of modular neural networks [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2021 ; 96[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.cnsns.2020.105689
Vancouver
Lameu EL, Borges FS, Iarosz K, Protachevicz RP, Antonopoulos CG, Macau EEN, Batista A. Short-term and spike-timing-dependent plasticity facilitate the formation of modular neural networks [Internet]. Communications in Nonlinear Science and Numerical Simulation. 2021 ; 96[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.cnsns.2020.105689
Artigo de periodico
Effects of burst-timing-dependent plasticity on synchronous behaviour in neuronal network (2021)
Silveira, João Antonio Paludo; Protachevicz, R. P. ; Viana, Ricardo Luiz; Batista, Antonio
Source: Neurocomputing. Unidade: IF
Subjects: BIOFÍSICA, REDES NEURAIS, NEURÔNIOS, SINCRONIZAÇÃO, SINAPSE, PLASTICIDADE NEURONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVEIRA, João Antonio Paludo et al. Effects of burst-timing-dependent plasticity on synchronous behaviour in neuronal network. Neurocomputing, v. 436, p. 126-135, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2021.01.044. Acesso em: 18 nov. 2024.
APA
Silveira, J. A. P., Protachevicz, R. P., Viana, R. L., & Batista, A. (2021). Effects of burst-timing-dependent plasticity on synchronous behaviour in neuronal network. Neurocomputing, 436, 126-135. doi:10.1016/j.neucom.2021.01.044
NLM
Silveira JAP, Protachevicz RP, Viana RL, Batista A. Effects of burst-timing-dependent plasticity on synchronous behaviour in neuronal network [Internet]. Neurocomputing. 2021 ; 436 126-135.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.neucom.2021.01.044
Vancouver
Silveira JAP, Protachevicz RP, Viana RL, Batista A. Effects of burst-timing-dependent plasticity on synchronous behaviour in neuronal network [Internet]. Neurocomputing. 2021 ; 436 126-135.[citado 2024 nov. 18 ] Available from: https://doi.org/10.1016/j.neucom.2021.01.044

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