Filtros : "FM-MDR" "BACCALA, LUÍZ ANTONIO" Limpar

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  • Source: Cognitive science: recent advances and recurring problems. Unidades: FM, EP

    Assunto: COGNIÇÃO

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      SAMESHIMA, Koichi e BACCALÁ, Luiz Antonio. Can brain connectivity analysis help understand brain functions? Cognitive science: recent advances and recurring problems. Tradução . Delaware: Vernon Press, 2018. . Disponível em: https://repositorio.usp.br/directbitstream/cd3fda6b-1747-4528-80e4-1b175903dee2/3204909.pdf. Acesso em: 31 out. 2024.
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      Sameshima, K., & Baccalá, L. A. (2018). Can brain connectivity analysis help understand brain functions? In Cognitive science: recent advances and recurring problems. Delaware: Vernon Press. Recuperado de https://repositorio.usp.br/directbitstream/cd3fda6b-1747-4528-80e4-1b175903dee2/3204909.pdf
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      Sameshima K, Baccalá LA. Can brain connectivity analysis help understand brain functions? [Internet]. In: Cognitive science: recent advances and recurring problems. Delaware: Vernon Press; 2018. [citado 2024 out. 31 ] Available from: https://repositorio.usp.br/directbitstream/cd3fda6b-1747-4528-80e4-1b175903dee2/3204909.pdf
    • Vancouver

      Sameshima K, Baccalá LA. Can brain connectivity analysis help understand brain functions? [Internet]. In: Cognitive science: recent advances and recurring problems. Delaware: Vernon Press; 2018. [citado 2024 out. 31 ] Available from: https://repositorio.usp.br/directbitstream/cd3fda6b-1747-4528-80e4-1b175903dee2/3204909.pdf
  • Source: Proceedings. Conference titles: Annual International Conference of the IEEE Engineering in Medicine and Biology Society - EMBC. Unidades: IME, EP, FM

    Subjects: BIOINFORMÁTICA, PROCESSAMENTO DE SINAIS BIOMÉDICOS, ELETROENCEFALOGRAFIA

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      RODRIGUES NETO, Abner Cardoso et al. Source and sink nodes in absence seizures. 2016, Anais.. Piscataway: IEEE, 2016. Disponível em: https://doi.org/10.1109/EMBC.2016.7591315. Acesso em: 31 out. 2024.
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      Rodrigues Neto, A. C., Machado, B. S., Caboclo, L. O. S. F., Fujita, A., Baccalá, L. A., & Sameshima, K. (2016). Source and sink nodes in absence seizures. In Proceedings. Piscataway: IEEE. doi:10.1109/EMBC.2016.7591315
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      Rodrigues Neto AC, Machado BS, Caboclo LOSF, Fujita A, Baccalá LA, Sameshima K. Source and sink nodes in absence seizures [Internet]. Proceedings. 2016 ;[citado 2024 out. 31 ] Available from: https://doi.org/10.1109/EMBC.2016.7591315
    • Vancouver

      Rodrigues Neto AC, Machado BS, Caboclo LOSF, Fujita A, Baccalá LA, Sameshima K. Source and sink nodes in absence seizures [Internet]. Proceedings. 2016 ;[citado 2024 out. 31 ] Available from: https://doi.org/10.1109/EMBC.2016.7591315
  • Source: Frontiers in Neuroinformatics. Unidades: EP, FM, BIOINFORMÁTICA

    Subjects: PROCESSAMENTO DE SINAIS, NEUROCIÊNCIAS

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      TAKAHASHI, Daniel Yasumasa e SAMESHIMA, Koichi e BACCALÁ, Luiz Antonio. Canonical information flow decomposition among neural structure subsets. Frontiers in Neuroinformatics, v. 8, p. 1-11, 2014Tradução . . Disponível em: https://doi.org/10.3389/fninf.2014.00049. Acesso em: 31 out. 2024.
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      Takahashi, D. Y., Sameshima, K., & Baccalá, L. A. (2014). Canonical information flow decomposition among neural structure subsets. Frontiers in Neuroinformatics, 8, 1-11. doi:10.3389/fninf.2014.00049
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      Takahashi DY, Sameshima K, Baccalá LA. Canonical information flow decomposition among neural structure subsets [Internet]. Frontiers in Neuroinformatics. 2014 ; 8 1-11.[citado 2024 out. 31 ] Available from: https://doi.org/10.3389/fninf.2014.00049
    • Vancouver

      Takahashi DY, Sameshima K, Baccalá LA. Canonical information flow decomposition among neural structure subsets [Internet]. Frontiers in Neuroinformatics. 2014 ; 8 1-11.[citado 2024 out. 31 ] Available from: https://doi.org/10.3389/fninf.2014.00049
  • Source: Biological cybernetics: Advances in Computational Neurosciences. Unidades: FM, EP

    Subjects: TEORIA DA INFORMAÇÃO, CASUALIDADE, TECNOLOGIA DA INFORMAÇÃO, NEUROCIÊNCIAS, CAUSALIDADE

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      TAKAHASHI, Daniel Yasumasa e BACCALÁ, Luiz Antonio e SAMESHIMA, Koichi. Information theoretic interpretation of frequency domain connectivity measures. Biological cybernetics: Advances in Computational Neurosciences, v. 103, n. 6, p. 463-469, 2010Tradução . . Disponível em: https://doi.org/10.1007/s00422-010-0410-x. Acesso em: 31 out. 2024.
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      Takahashi, D. Y., Baccalá, L. A., & Sameshima, K. (2010). Information theoretic interpretation of frequency domain connectivity measures. Biological cybernetics: Advances in Computational Neurosciences, 103( 6), 463-469. doi:10.1007/s00422-010-0410-x
    • NLM

      Takahashi DY, Baccalá LA, Sameshima K. Information theoretic interpretation of frequency domain connectivity measures [Internet]. Biological cybernetics: Advances in Computational Neurosciences. 2010 ;103( 6): 463-469.[citado 2024 out. 31 ] Available from: https://doi.org/10.1007/s00422-010-0410-x
    • Vancouver

      Takahashi DY, Baccalá LA, Sameshima K. Information theoretic interpretation of frequency domain connectivity measures [Internet]. Biological cybernetics: Advances in Computational Neurosciences. 2010 ;103( 6): 463-469.[citado 2024 out. 31 ] Available from: https://doi.org/10.1007/s00422-010-0410-x
  • Source: Final Program and Abstract Book. Conference titles: International Conference of the IEEE EMBS. Unidades: EP, FM

    Subjects: NEUROCIÊNCIAS, TEORIA DA INFORMAÇÃO

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      TAKAHASHI, Daniel Yasumasa e SAMESHIMA, Koichi e BACCALÁ, Luiz Antonio. Frequency domain connectivity: an information theoretic perspective. 2010, Anais.. Buenos Aires: Escola Politécnica, Universidade de São Paulo, 2010. Disponível em: https://doi.org/10.1109/IEMBS.2010.5626700. Acesso em: 31 out. 2024.
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      Takahashi, D. Y., Sameshima, K., & Baccalá, L. A. (2010). Frequency domain connectivity: an information theoretic perspective. In Final Program and Abstract Book. Buenos Aires: Escola Politécnica, Universidade de São Paulo. doi:10.1109/IEMBS.2010.5626700
    • NLM

      Takahashi DY, Sameshima K, Baccalá LA. Frequency domain connectivity: an information theoretic perspective [Internet]. Final Program and Abstract Book. 2010 ;[citado 2024 out. 31 ] Available from: https://doi.org/10.1109/IEMBS.2010.5626700
    • Vancouver

      Takahashi DY, Sameshima K, Baccalá LA. Frequency domain connectivity: an information theoretic perspective [Internet]. Final Program and Abstract Book. 2010 ;[citado 2024 out. 31 ] Available from: https://doi.org/10.1109/IEMBS.2010.5626700
  • Source: International Journal for Bioelectromagnetism. Unidades: EP, FM

    Assunto: NEUROFISIOLOGIA

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      TAKAHASHI, Daniel Yasumasa e BACCALÁ, Luiz Antonio e SAMESHIMA, Koichi. Partial directed coherence asymptotics for VAR processes of infinite order. International Journal for Bioelectromagnetism, v. 10, n. 1, p. 31-36, 2008Tradução . . Acesso em: 31 out. 2024.
    • APA

      Takahashi, D. Y., Baccalá, L. A., & Sameshima, K. (2008). Partial directed coherence asymptotics for VAR processes of infinite order. International Journal for Bioelectromagnetism, 10( 1), 31-36.
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      Takahashi DY, Baccalá LA, Sameshima K. Partial directed coherence asymptotics for VAR processes of infinite order. International Journal for Bioelectromagnetism. 2008 ;10( 1): 31-36.[citado 2024 out. 31 ]
    • Vancouver

      Takahashi DY, Baccalá LA, Sameshima K. Partial directed coherence asymptotics for VAR processes of infinite order. International Journal for Bioelectromagnetism. 2008 ;10( 1): 31-36.[citado 2024 out. 31 ]
  • Source: Journal of Applied Statistics. Unidades: EP, FM

    Subjects: REDES NEURAIS, EPILEPSIA

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      TAKAHASHI, Daniel Yasumasa e BACCALÁ, Luiz Antonio e SAMESHIMA, Koichi. Connectivity inference between neural structures via partial directed coherence. Journal of Applied Statistics, v. 34, n. 10, p. 1259-1273, 2007Tradução . . Acesso em: 31 out. 2024.
    • APA

      Takahashi, D. Y., Baccalá, L. A., & Sameshima, K. (2007). Connectivity inference between neural structures via partial directed coherence. Journal of Applied Statistics, 34( 10), 1259-1273.
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      Takahashi DY, Baccalá LA, Sameshima K. Connectivity inference between neural structures via partial directed coherence. Journal of Applied Statistics. 2007 ;34( 10): 1259-1273.[citado 2024 out. 31 ]
    • Vancouver

      Takahashi DY, Baccalá LA, Sameshima K. Connectivity inference between neural structures via partial directed coherence. Journal of Applied Statistics. 2007 ;34( 10): 1259-1273.[citado 2024 out. 31 ]
  • Source: Handbook of Time Series Analysis. Unidades: EP, FM

    Subjects: SISTEMAS DE CONTROLE, ANÁLISE DE SÉRIES TEMPORAIS

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      BACCALÁ, Luiz Antonio e TAKAHASHI, Daniel Yasumasa e SAMESHIMA, Koichi. Computer intensive testing for the influence between time series. Handbook of Time Series Analysis. Tradução . Berlin: Wiley-VCH, 2006. . Disponível em: https://doi.org/10.1002/9783527609970.ch16. Acesso em: 31 out. 2024.
    • APA

      Baccalá, L. A., Takahashi, D. Y., & Sameshima, K. (2006). Computer intensive testing for the influence between time series. In Handbook of Time Series Analysis. Berlin: Wiley-VCH. doi:10.1002/9783527609970.ch16
    • NLM

      Baccalá LA, Takahashi DY, Sameshima K. Computer intensive testing for the influence between time series [Internet]. In: Handbook of Time Series Analysis. Berlin: Wiley-VCH; 2006. [citado 2024 out. 31 ] Available from: https://doi.org/10.1002/9783527609970.ch16
    • Vancouver

      Baccalá LA, Takahashi DY, Sameshima K. Computer intensive testing for the influence between time series [Internet]. In: Handbook of Time Series Analysis. Berlin: Wiley-VCH; 2006. [citado 2024 out. 31 ] Available from: https://doi.org/10.1002/9783527609970.ch16

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