Filtros : "PROTACHEVICZ, PAULO RICARDO" "REDES NEURAIS" Limpar

Filtros



Refine with date range


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

    Subjects: REDES NEURAIS, NEUROCIÊNCIAS

    DOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      SOUZA, Diogo Leonai M et al. Spiral wave dynamics in a neuronal network model. Journal of Physics: Complexity, v. 5, n. 2, 2024Tradução . . Acesso em: 06 ago. 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. Journal of Physics: Complexity. 2024 ; 5( 2):[citado 2024 ago. 06 ]
    • Vancouver

      Souza DLM, Protachevicz PR, Batista AM, Caldas IL. Spiral wave dynamics in a neuronal network model. Journal of Physics: Complexity. 2024 ; 5( 2):[citado 2024 ago. 06 ]
  • Source: Epilepsy & Behavior. Unidade: IF

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

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • 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: 06 ago. 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 ago. 06 ] 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 ago. 06 ] Available from: https://doi.org/10.1016/j.yebeh.2022.109072
  • Source: CHAOS. Unidade: IF

    Subjects: BIOFÍSICA, NEUROCIÊNCIAS, REDES NEURAIS, SINCRONIZAÇÃO

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • 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: 06 ago. 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 ago. 06 ] 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 ago. 06 ] Available from: https://doi.org/10.1063/5.0135399
  • Source: Cognitive Neurodynamics. Unidade: IF

    Assunto: REDES NEURAIS

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • 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: 06 ago. 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 ago. 06 ] 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 ago. 06 ] Available from: https://doi.org/10.1007/s11571-022-09789-z
  • Source: Chaos, Solitons & Fractals. Unidade: IF

    Subjects: REDES NEURAIS, SINCRONIZAÇÃO

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • 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: 06 ago. 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 ago. 06 ] 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 ago. 06 ] Available from: https://doi.org/10.1016/j.chaos.2022.112690
  • Unidade: IF

    Subjects: TOPOLOGIA, REDES NEURAIS

    Acesso à fonteHow to cite
    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: 06 ago. 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 ago. 06 ] 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 ago. 06 ] 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

    Versão PublicadaAcesso à fonteDOIHow to cite
    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: 06 ago. 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 ago. 06 ] 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 ago. 06 ] Available from: https://doi.org/10.3389/fncom.2021.663408
  • Source: Communications in Nonlinear Science and Numerical Simulation. Unidade: IF

    Subjects: BIOFÍSICA, REDES NEURAIS, PLASTICIDADE NEURONAL, SINAPSE, NEUROTRANSMISSORES

    Versão PublicadaAcesso à fonteDOIHow to cite
    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: 06 ago. 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 ago. 06 ] 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 ago. 06 ] Available from: https://doi.org/10.1016/j.cnsns.2020.105689
  • Source: Journal of Physics: Complexity. Unidade: IF

    Assunto: REDES NEURAIS

    Versão PublicadaAcesso à fonteAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • 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: 06 ago. 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 ago. 06 ] 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 ago. 06 ] Available from: https://doi.org/10.1088/2632-072X/abcd14
  • Source: Neurocomputing. Unidade: IF

    Subjects: BIOFÍSICA, REDES NEURAIS, NEURÔNIOS, SINCRONIZAÇÃO, SINAPSE, PLASTICIDADE NEURONAL

    Versão PublicadaAcesso à fonteDOIHow to cite
    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: 06 ago. 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 ago. 06 ] 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 ago. 06 ] Available from: https://doi.org/10.1016/j.neucom.2021.01.044

Digital Library of Intellectual Production of Universidade de São Paulo     2012 - 2024