Filtros : "INTELIGÊNCIA ARTIFICIAL" "Jiangsu Normal University - School of Physics and Electronic Engineering" Removidos: "Applied Microbiology and Biotechnology" "RATOS" "RUSP" Limpar

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  • Source: Neurocomputing. Conference titles: Brazilian Symposium on Neural Networks - SBRN. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, OTIMIZAÇÃO COMBINATÓRIA

    Acesso à fonteDOIHow to cite
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    • ABNT

      LIANG, Xiaoming e LIANG, Zhao. Effect of nonidentical signal phases on signal amplification of two coupled excitable neurons. Neurocomputing. Amsterdam: Elsevier. Disponível em: https://doi.org/10.1016/j.neucom.2013.06.041. Acesso em: 28 set. 2024. , 2014
    • APA

      Liang, X., & Liang, Z. (2014). Effect of nonidentical signal phases on signal amplification of two coupled excitable neurons. Neurocomputing. Amsterdam: Elsevier. doi:10.1016/j.neucom.2013.06.041
    • NLM

      Liang X, Liang Z. Effect of nonidentical signal phases on signal amplification of two coupled excitable neurons [Internet]. Neurocomputing. 2014 ; 127 21-29.[citado 2024 set. 28 ] Available from: https://doi.org/10.1016/j.neucom.2013.06.041
    • Vancouver

      Liang X, Liang Z. Effect of nonidentical signal phases on signal amplification of two coupled excitable neurons [Internet]. Neurocomputing. 2014 ; 127 21-29.[citado 2024 set. 28 ] Available from: https://doi.org/10.1016/j.neucom.2013.06.041
  • Source: Physical Review E. Unidade: ICMC

    Subjects: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, INTELIGÊNCIA ARTIFICIAL, SISTEMAS DINÂMICOS

    Acesso à fonteDOIHow to cite
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    • ABNT

      LIANG, Xiaoming e YANCHUK, Serhiy e LIANG, Zhao. Gating-signal propagation by a feed-forward neural motif. Physical Review E, v. 88, n. 1, p. 012910-1-012910-7, 2013Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.88.012910. Acesso em: 28 set. 2024.
    • APA

      Liang, X., Yanchuk, S., & Liang, Z. (2013). Gating-signal propagation by a feed-forward neural motif. Physical Review E, 88( 1), 012910-1-012910-7. doi:10.1103/PhysRevE.88.012910
    • NLM

      Liang X, Yanchuk S, Liang Z. Gating-signal propagation by a feed-forward neural motif [Internet]. Physical Review E. 2013 ; 88( 1): 012910-1-012910-7.[citado 2024 set. 28 ] Available from: https://doi.org/10.1103/PhysRevE.88.012910
    • Vancouver

      Liang X, Yanchuk S, Liang Z. Gating-signal propagation by a feed-forward neural motif [Internet]. Physical Review E. 2013 ; 88( 1): 012910-1-012910-7.[citado 2024 set. 28 ] Available from: https://doi.org/10.1103/PhysRevE.88.012910
  • Source: IEEE Transactions on Neural Networks and Learning Systems. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

    Acesso à fonteDOIHow to cite
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    • ABNT

      XIAOMING, Liang e LIANG, Zhao. Phase-noise-induced resonance in arrays of coupled excitable neural models. IEEE Transactions on Neural Networks and Learning Systems, v. 24, n. 8, p. 1339-1345, 2013Tradução . . Disponível em: https://doi.org/10.1109/TNNLS.2013.2254126. Acesso em: 28 set. 2024.
    • APA

      Xiaoming, L., & Liang, Z. (2013). Phase-noise-induced resonance in arrays of coupled excitable neural models. IEEE Transactions on Neural Networks and Learning Systems, 24( 8), 1339-1345. doi:10.1109/TNNLS.2013.2254126
    • NLM

      Xiaoming L, Liang Z. Phase-noise-induced resonance in arrays of coupled excitable neural models [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2013 ; 24( 8): 1339-1345.[citado 2024 set. 28 ] Available from: https://doi.org/10.1109/TNNLS.2013.2254126
    • Vancouver

      Xiaoming L, Liang Z. Phase-noise-induced resonance in arrays of coupled excitable neural models [Internet]. IEEE Transactions on Neural Networks and Learning Systems. 2013 ; 24( 8): 1339-1345.[citado 2024 set. 28 ] Available from: https://doi.org/10.1109/TNNLS.2013.2254126

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