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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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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: 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
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: 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
Phase synchronization in a sparse network of randomly connected neurons under the effect of poissonian spike inputs (2023)
Boaretto, Bruno R. R.; Protachevicz, Paulo Ricardo ; Hansen, Matheus; Oliveira, Jonas; Andreani, Alexandre C.; Macau, Elbert E. N.
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: 18 nov. 2024.
APA
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
NLM
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 nov. 18 ] 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 nov. 18 ] Available from: https://doi.org/10.1063/5.0179912
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: 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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ABNT
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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ABNT
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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ABNT
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
Analyzing bursting synchronization in structural connectivity matrix of a human brain under external pulsed currents (2023)
Sayari, Elaheh ; Gabrick, Enrique Chipicoski ; Borges, F. S.; Cruziniani, Fátima Elis ; Protachevicz, R. P. ; Iarosz, Kelly ; Szezech, Jose Danilo ; Batista, Antonio
Source: CHAOS. Unidade: IF
Subjects: BIOFÍSICA, NEUROCIÊNCIAS, REDES NEURAIS, SINCRONIZAÇÃO
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ABNT
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: 18 nov. 2024.
APA
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
NLM
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 nov. 18 ] 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 nov. 18 ] Available from: https://doi.org/10.1063/5.0135399
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
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
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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: 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
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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
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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
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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
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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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