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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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ABNT
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: 30 set. 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 set. 30 ] 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 set. 30 ] Available from: https://doi.org/10.1140/epjs/s11734-024-01201-7
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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ABNT
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: 30 set. 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 set. 30 ] 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 set. 30 ] Available from: https://doi.org/10.1088/2632-072X/ad42f6
Artigo de periodico
Adaptive exponential integrate-and-fire model with fractal extension (2024)
Souza, Diogo Leonai M ; Gabrick, Enrique Chipicoski ; Protachevicz, Paulo Ricardo ; Borges, Fernando da Silva ; Trobia, José ; Iarosz, Kelly Cristiane ; Batista, Antonio Marcos ; Caldas, Iberê Luiz ; Lenzi, Ervin Kaminski
Source: Chaos. Unidade: IF
Assunto: NEUROCIÊNCIAS
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ABNT
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: 30 set. 2024.
APA
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
NLM
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 set. 30 ] Available from: https://doi.org/10.1063/5.0176455
Vancouver
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 set. 30 ] Available from: https://doi.org/10.1063/5.0176455
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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ABNT
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: 30 set. 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 set. 30 ] 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 set. 30 ] 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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ABNT
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: 30 set. 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 set. 30 ] 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 set. 30 ] Available from: https://doi.org/10.1016/j.chaos.2023.113480
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: 30 set. 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 set. 30 ] 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 set. 30 ] 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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ABNT
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: 30 set. 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 set. 30 ] 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 set. 30 ] Available from: https://doi.org/10.1007/s10827-021-00801-9
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: 30 set. 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 set. 30 ] 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 set. 30 ] Available from: https://doi.org/10.1016/j.chaos.2021.111753
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: 30 set. 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 set. 30 ] 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 set. 30 ] Available from: https://doi.org/10.1007/s11571-022-09789-z
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: 30 set. 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 set. 30 ] 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 set. 30 ] Available from: https://doi.org/10.1016/j.chaos.2022.112690
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: 30 set. 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 set. 30 ] 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 set. 30 ] Available from: https://doi.org/10.1016/j.chaos.2021.111784
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: 30 set. 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 set. 30 ] 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 set. 30 ] Available from: https://doi.org/10.1016/j.chaos.2021.111734
Artigo de periodico
Spiral wave chimera states in regular and fractal neuronal networks (2021)
Santos, Moises S ; Protachevicz, Paulo Ricardo ; Caldas, Iberê Luiz ; Iarosz, Kelly Cristiane ; Viana, Ricardo L ; Szezech Jr., José Danilo ; Souza, Silvio L T de; Batista, Antonio Marcos
Source: Journal of Physics: Complexity. Unidade: IF
Assunto: REDES NEURAIS
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ABNT
SANTOS, Moises S et al. Spiral wave chimera states in regular and fractal neuronal networks. Journal of Physics: Complexity, v. 2, 2021Tradução . . Disponível em: https://doi.org/10.1088/2632-072X/abcd14. Acesso em: 30 set. 2024.
APA
Santos, M. S., Protachevicz, P. R., Caldas, I. L., Iarosz, K. C., Viana, R. L., Szezech Jr., J. D., et al. (2021). Spiral wave chimera states in regular and fractal neuronal networks. Journal of Physics: Complexity, 2. doi:10.1088/2632-072X/abcd14
NLM
Santos MS, Protachevicz PR, Caldas IL, Iarosz KC, Viana RL, Szezech Jr. JD, Souza SLT de, Batista AM. Spiral wave chimera states in regular and fractal neuronal networks [Internet]. Journal of Physics: Complexity. 2021 ; 2[citado 2024 set. 30 ] Available from: https://doi.org/10.1088/2632-072X/abcd14
Vancouver
Santos MS, Protachevicz PR, Caldas IL, Iarosz KC, Viana RL, Szezech Jr. JD, Souza SLT de, Batista AM. Spiral wave chimera states in regular and fractal neuronal networks [Internet]. Journal of Physics: Complexity. 2021 ; 2[citado 2024 set. 30 ] Available from: https://doi.org/10.1088/2632-072X/abcd14

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