Filtros : "BACCALA, LUÍZ ANTONIO" Removido: "Rodrigues, Abner Cardoso" Limpar

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

    Assunto: COGNIÇÃO

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      BACCALÁ, Luiz Antonio e SAMESHIMA, Koichi. A neural link centered approach to brain connectivity. Cognitive science: recent advances and recurring problems. Tradução . Delaware: Vernon, 2018. . Disponível em: https://repositorio.usp.br/directbitstream/c16c7240-fab5-4ecb-8613-1a20b5a69658/3204897.pdf. Acesso em: 28 set. 2024.
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      Baccalá, L. A., & Sameshima, K. (2018). A neural link centered approach to brain connectivity. In Cognitive science: recent advances and recurring problems. Delaware: Vernon. Recuperado de https://repositorio.usp.br/directbitstream/c16c7240-fab5-4ecb-8613-1a20b5a69658/3204897.pdf
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      Baccalá LA, Sameshima K. A neural link centered approach to brain connectivity [Internet]. In: Cognitive science: recent advances and recurring problems. Delaware: Vernon; 2018. [citado 2024 set. 28 ] Available from: https://repositorio.usp.br/directbitstream/c16c7240-fab5-4ecb-8613-1a20b5a69658/3204897.pdf
    • Vancouver

      Baccalá LA, Sameshima K. A neural link centered approach to brain connectivity [Internet]. In: Cognitive science: recent advances and recurring problems. Delaware: Vernon; 2018. [citado 2024 set. 28 ] Available from: https://repositorio.usp.br/directbitstream/c16c7240-fab5-4ecb-8613-1a20b5a69658/3204897.pdf
  • 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: 28 set. 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 set. 28 ] 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 set. 28 ] Available from: https://repositorio.usp.br/directbitstream/cd3fda6b-1747-4528-80e4-1b175903dee2/3204909.pdf
  • Source: IEEE Transactions on Computational Imaging. Unidade: EP

    Subjects: AEROACÚSTICA, PROCESSAMENTO DE SINAIS

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      CALDAS, Luciano Coutinho et al. Acoustic Imaging of In-Duct Aeroengine Noise Sources Using Rotating Beamforming and Phased Arrays. IEEE Transactions on Computational Imaging, v. 3, n. 3, p. 485-492, 2017Tradução . . Disponível em: https://doi.org/10.1109/tci.2017.2721744. Acesso em: 28 set. 2024.
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      Caldas, L. C., Pagani, C. C., Greco, P. C., & Baccalá, L. A. (2017). Acoustic Imaging of In-Duct Aeroengine Noise Sources Using Rotating Beamforming and Phased Arrays. IEEE Transactions on Computational Imaging, 3( 3), 485-492. doi:10.1109/tci.2017.2721744
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      Caldas LC, Pagani CC, Greco PC, Baccalá LA. Acoustic Imaging of In-Duct Aeroengine Noise Sources Using Rotating Beamforming and Phased Arrays [Internet]. IEEE Transactions on Computational Imaging. 2017 ; 3( 3): 485-492.[citado 2024 set. 28 ] Available from: https://doi.org/10.1109/tci.2017.2721744
    • Vancouver

      Caldas LC, Pagani CC, Greco PC, Baccalá LA. Acoustic Imaging of In-Duct Aeroengine Noise Sources Using Rotating Beamforming and Phased Arrays [Internet]. IEEE Transactions on Computational Imaging. 2017 ; 3( 3): 485-492.[citado 2024 set. 28 ] Available from: https://doi.org/10.1109/tci.2017.2721744
  • Source: Physical Review E. Unidades: EP, IF

    Subjects: MECÂNICA ESTATÍSTICA, ANÁLISE DE DADOS, ELETROENCEFALOGRAFIA, ANÁLISE DE SÉRIES TEMPORAIS

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      AMARAL, Selene da Rocha et al. Backward renormalization-group inference of cortical dipole sources and neural connectivity efficacy. Physical Review E, v. 95, n. 6, p. 06415/1-062415/14, 2017Tradução . . Disponível em: https://doi.org/10.1103/PhysRevE.95.062415. Acesso em: 28 set. 2024.
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      Amaral, S. da R., Baccalá, L. A., Barbosa, L. S., & Caticha, N. (2017). Backward renormalization-group inference of cortical dipole sources and neural connectivity efficacy. Physical Review E, 95( 6), 06415/1-062415/14. doi:10.1103/PhysRevE.95.062415
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      Amaral S da R, Baccalá LA, Barbosa LS, Caticha N. Backward renormalization-group inference of cortical dipole sources and neural connectivity efficacy [Internet]. Physical Review E. 2017 ; 95( 6): 06415/1-062415/14.[citado 2024 set. 28 ] Available from: https://doi.org/10.1103/PhysRevE.95.062415
    • Vancouver

      Amaral S da R, Baccalá LA, Barbosa LS, Caticha N. Backward renormalization-group inference of cortical dipole sources and neural connectivity efficacy [Internet]. Physical Review E. 2017 ; 95( 6): 06415/1-062415/14.[citado 2024 set. 28 ] Available from: https://doi.org/10.1103/PhysRevE.95.062415
  • Source: IEEE Transactions on Computational Imaging. Unidades: EESC, EP

    Subjects: AEROACÚSTICA, ENGENHARIA AERONÁUTICA

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      CALDAS, Luciano Coutinho et al. Acoustic imaging of in-duct aeroengine noise sources using rotating beamforming and phased arrays. IEEE Transactions on Computational Imaging, v. 3, n. 3, p. 485-492, 2017Tradução . . Disponível em: https://doi.org/10.1109/TCI.2017.2721744. Acesso em: 28 set. 2024.
    • APA

      Caldas, L. C., Greco Júnior, P. C., Pagani Júnior, C. do C., & Baccalá, L. A. (2017). Acoustic imaging of in-duct aeroengine noise sources using rotating beamforming and phased arrays. IEEE Transactions on Computational Imaging, 3( 3), 485-492. doi:10.1109/TCI.2017.2721744
    • NLM

      Caldas LC, Greco Júnior PC, Pagani Júnior C do C, Baccalá LA. Acoustic imaging of in-duct aeroengine noise sources using rotating beamforming and phased arrays [Internet]. IEEE Transactions on Computational Imaging. 2017 ; 3( 3): 485-492.[citado 2024 set. 28 ] Available from: https://doi.org/10.1109/TCI.2017.2721744
    • Vancouver

      Caldas LC, Greco Júnior PC, Pagani Júnior C do C, Baccalá LA. Acoustic imaging of in-duct aeroengine noise sources using rotating beamforming and phased arrays [Internet]. IEEE Transactions on Computational Imaging. 2017 ; 3( 3): 485-492.[citado 2024 set. 28 ] Available from: https://doi.org/10.1109/TCI.2017.2721744
  • Source: Proceedings. Conference titles: AIAA/CEAS Aeroacoustics Conference. Unidades: EESC, EP

    Subjects: AEROACÚSTICA, ENGENHARIA AERONÁUTICA

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      MARTÍNEZ ROCAMORA JUNIOR, Bernardo et al. Baseline acoustic levels of the EESC-USP fan rig. 2017, Anais.. Reston, VA, USA: AIAA, 2017. Disponível em: https://repositorio.usp.br/directbitstream/db8ec149-3599-468a-b616-3e81399a078a/trabalho%2003%20-%20Baseline%20Acoustic%20Levels%20of%20the%20EESC-USP%20Fan%20Rig%20%2823rd%20AIAA-CEAS%20Aeroacoustics%20Conference%2C%202017%29.pdf. Acesso em: 28 set. 2024.
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      Martínez Rocamora Junior, B., Greco Júnior, P. C., Caldas, L. C., Baccalá, L. A., Gigena Cuenca, R., & Queiroz, R. L. (2017). Baseline acoustic levels of the EESC-USP fan rig. In Proceedings. Reston, VA, USA: AIAA. Recuperado de https://repositorio.usp.br/directbitstream/db8ec149-3599-468a-b616-3e81399a078a/trabalho%2003%20-%20Baseline%20Acoustic%20Levels%20of%20the%20EESC-USP%20Fan%20Rig%20%2823rd%20AIAA-CEAS%20Aeroacoustics%20Conference%2C%202017%29.pdf
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      Martínez Rocamora Junior B, Greco Júnior PC, Caldas LC, Baccalá LA, Gigena Cuenca R, Queiroz RL. Baseline acoustic levels of the EESC-USP fan rig [Internet]. Proceedings. 2017 ;[citado 2024 set. 28 ] Available from: https://repositorio.usp.br/directbitstream/db8ec149-3599-468a-b616-3e81399a078a/trabalho%2003%20-%20Baseline%20Acoustic%20Levels%20of%20the%20EESC-USP%20Fan%20Rig%20%2823rd%20AIAA-CEAS%20Aeroacoustics%20Conference%2C%202017%29.pdf
    • Vancouver

      Martínez Rocamora Junior B, Greco Júnior PC, Caldas LC, Baccalá LA, Gigena Cuenca R, Queiroz RL. Baseline acoustic levels of the EESC-USP fan rig [Internet]. Proceedings. 2017 ;[citado 2024 set. 28 ] Available from: https://repositorio.usp.br/directbitstream/db8ec149-3599-468a-b616-3e81399a078a/trabalho%2003%20-%20Baseline%20Acoustic%20Levels%20of%20the%20EESC-USP%20Fan%20Rig%20%2823rd%20AIAA-CEAS%20Aeroacoustics%20Conference%2C%202017%29.pdf
  • Source: Proceedings. Conference titles: AIAA/CEAS Aeroacoustics Conference. Unidades: EESC, EP

    Subjects: AEROACÚSTICA, ENGENHARIA AERONÁUTICA

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      CALDAS, Luciano Coutinho et al. In-duct rotating beamforming and mode detection of fan noise sources. 2016, Anais.. Reston, VA, USA: AIAA, 2016. Disponível em: https://repositorio.usp.br/directbitstream/4acb8caf-395c-48e9-891b-42a1c246fcaa/trabalho%2007%20-%20%20In-duct%20Rotating%20Beamforming%20and%20Mode%20Detection%20of%20Fan%20Noise%20Sources%20%2822nd%20AIAACEAS%20Aeroacoustics%20Conference%202016%29%20%282%29%20%281%29_removed.pdf. Acesso em: 28 set. 2024.
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      Caldas, L. C., Herold, G., Greco Júnior, P. C., & Baccalá, L. A. (2016). In-duct rotating beamforming and mode detection of fan noise sources. In Proceedings. Reston, VA, USA: AIAA. Recuperado de https://repositorio.usp.br/directbitstream/4acb8caf-395c-48e9-891b-42a1c246fcaa/trabalho%2007%20-%20%20In-duct%20Rotating%20Beamforming%20and%20Mode%20Detection%20of%20Fan%20Noise%20Sources%20%2822nd%20AIAACEAS%20Aeroacoustics%20Conference%202016%29%20%282%29%20%281%29_removed.pdf
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      Caldas LC, Herold G, Greco Júnior PC, Baccalá LA. In-duct rotating beamforming and mode detection of fan noise sources [Internet]. Proceedings. 2016 ;[citado 2024 set. 28 ] Available from: https://repositorio.usp.br/directbitstream/4acb8caf-395c-48e9-891b-42a1c246fcaa/trabalho%2007%20-%20%20In-duct%20Rotating%20Beamforming%20and%20Mode%20Detection%20of%20Fan%20Noise%20Sources%20%2822nd%20AIAACEAS%20Aeroacoustics%20Conference%202016%29%20%282%29%20%281%29_removed.pdf
    • Vancouver

      Caldas LC, Herold G, Greco Júnior PC, Baccalá LA. In-duct rotating beamforming and mode detection of fan noise sources [Internet]. Proceedings. 2016 ;[citado 2024 set. 28 ] Available from: https://repositorio.usp.br/directbitstream/4acb8caf-395c-48e9-891b-42a1c246fcaa/trabalho%2007%20-%20%20In-duct%20Rotating%20Beamforming%20and%20Mode%20Detection%20of%20Fan%20Noise%20Sources%20%2822nd%20AIAACEAS%20Aeroacoustics%20Conference%202016%29%20%282%29%20%281%29_removed.pdf
  • Source: Proceedings. Conference titles: Berlin Beamforming Conference. Unidades: EESC, EP

    Subjects: VENTILADORES, MICROFONES, ACÚSTICA, ENGENHARIA AERONÁUTICA

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      CALDAS, Luciano Coutinho et al. Comparison of different techniques for rotating beamforming at the University of São Paulo fan rig test facility. 2016, Anais.. Berlin, Germany: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2016. . Acesso em: 28 set. 2024.
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      Caldas, L. C., Greco Júnior, P. C., Pagani, C. C., & Baccalá, L. A. (2016). Comparison of different techniques for rotating beamforming at the University of São Paulo fan rig test facility. In Proceedings. Berlin, Germany: Escola de Engenharia de São Carlos, Universidade de São Paulo.
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      Caldas LC, Greco Júnior PC, Pagani CC, Baccalá LA. Comparison of different techniques for rotating beamforming at the University of São Paulo fan rig test facility. Proceedings. 2016 ;[citado 2024 set. 28 ]
    • Vancouver

      Caldas LC, Greco Júnior PC, Pagani CC, Baccalá LA. Comparison of different techniques for rotating beamforming at the University of São Paulo fan rig test facility. Proceedings. 2016 ;[citado 2024 set. 28 ]
  • Source: IEEE Transactions on Biomedical Engineering. Unidade: EP

    Subjects: NEUROCIÊNCIAS, PROCESSAMENTO DE SINAIS

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      BACCALÁ, Luiz Antonio et al. Directed Transfer Function: Unified Asymptotic Theory and Some of Its Implications. IEEE Transactions on Biomedical Engineering, 2016Tradução . . Disponível em: https://doi.org/10.1109/tbme.2016.2550199. Acesso em: 28 set. 2024.
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      Baccalá, L. A., Takahashi, D. Y., Sameshima, K., & Baccalá, L. A. (2016). Directed Transfer Function: Unified Asymptotic Theory and Some of Its Implications. IEEE Transactions on Biomedical Engineering. doi:10.1109/tbme.2016.2550199
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      Baccalá LA, Takahashi DY, Sameshima K, Baccalá LA. Directed Transfer Function: Unified Asymptotic Theory and Some of Its Implications [Internet]. IEEE Transactions on Biomedical Engineering. 2016 ;[citado 2024 set. 28 ] Available from: https://doi.org/10.1109/tbme.2016.2550199
    • Vancouver

      Baccalá LA, Takahashi DY, Sameshima K, Baccalá LA. Directed Transfer Function: Unified Asymptotic Theory and Some of Its Implications [Internet]. IEEE Transactions on Biomedical Engineering. 2016 ;[citado 2024 set. 28 ] Available from: https://doi.org/10.1109/tbme.2016.2550199
  • 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: 28 set. 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 set. 28 ] 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 set. 28 ] Available from: https://doi.org/10.1109/EMBC.2016.7591315
  • Source: Brain Informatics. Unidade: EP

    Subjects: PROCESSAMENTO DE SINAIS, NEUROCIÊNCIAS

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      VIEIRA, Gilson e AMARO, Edson e BACCALÁ, Luiz Antonio. Local dimension-reduced dynamical spatio-temporal models for resting state network estimation. Brain Informatics, v. 2, n. 2, 2015Tradução . . Disponível em: https://doi.org/10.1007/s40708-015-0011-5. Acesso em: 28 set. 2024.
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      Vieira, G., Amaro, E., & Baccalá, L. A. (2015). Local dimension-reduced dynamical spatio-temporal models for resting state network estimation. Brain Informatics, 2( 2). doi:10.1007/s40708-015-0011-5
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      Vieira G, Amaro E, Baccalá LA. Local dimension-reduced dynamical spatio-temporal models for resting state network estimation [Internet]. Brain Informatics. 2015 ; 2( 2):[citado 2024 set. 28 ] Available from: https://doi.org/10.1007/s40708-015-0011-5
    • Vancouver

      Vieira G, Amaro E, Baccalá LA. Local dimension-reduced dynamical spatio-temporal models for resting state network estimation [Internet]. Brain Informatics. 2015 ; 2( 2):[citado 2024 set. 28 ] Available from: https://doi.org/10.1007/s40708-015-0011-5
  • 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: 28 set. 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 set. 28 ] 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 set. 28 ] Available from: https://doi.org/10.3389/fninf.2014.00049
  • Source: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. Unidade: EP

    Subjects: PROCESSAMENTO DE SINAIS, NEUROCIÊNCIAS

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      BACCALÁ, Luiz Antonio et al. Unified asymptotic theory for all partial directed coherence forms. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, v. 371, n. 1997, p. 20120158-20120158, 2013Tradução . . Disponível em: https://doi.org/10.1098/rsta.2012.0158. Acesso em: 28 set. 2024.
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      Baccalá, L. A., Brito, C. S. N., Takahashi, D. Y., Sameshima, K., & Baccalá, L. A. (2013). Unified asymptotic theory for all partial directed coherence forms. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 371( 1997), 20120158-20120158. doi:10.1098/rsta.2012.0158
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      Baccalá LA, Brito CSN, Takahashi DY, Sameshima K, Baccalá LA. Unified asymptotic theory for all partial directed coherence forms [Internet]. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2013 ; 371( 1997): 20120158-20120158.[citado 2024 set. 28 ] Available from: https://doi.org/10.1098/rsta.2012.0158
    • Vancouver

      Baccalá LA, Brito CSN, Takahashi DY, Sameshima K, Baccalá LA. Unified asymptotic theory for all partial directed coherence forms [Internet]. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2013 ; 371( 1997): 20120158-20120158.[citado 2024 set. 28 ] Available from: https://doi.org/10.1098/rsta.2012.0158
  • 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: 28 set. 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
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      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 set. 28 ] 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 set. 28 ] 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: 28 set. 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
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      Takahashi DY, Sameshima K, Baccalá LA. Frequency domain connectivity: an information theoretic perspective [Internet]. Final Program and Abstract Book. 2010 ;[citado 2024 set. 28 ] 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 set. 28 ] Available from: https://doi.org/10.1109/IEMBS.2010.5626700
  • Source: Molecular Pain. Unidade: EP

    Subjects: DOR (EXPERIMENTOS), NEUROCIÊNCIAS, NEUROFEEDBACK, RATOS (EXPERIMENTAÇÃO)

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      WANG, Jin-Yan et al. Anticipation of pain enhances the nociceptive transmission and functional connectivity within pain network in rats. Molecular Pain, v. 4:34, 2008Tradução . . Disponível em: https://doi.org/10.1186/1744-8069-4-34. Acesso em: 28 set. 2024.
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      Wang, J. -Y., Zhang, H. -T., Chang, J. -Y., Woodward, D. J., Baccalá, L. A., & Luo, F. (2008). Anticipation of pain enhances the nociceptive transmission and functional connectivity within pain network in rats. Molecular Pain, 4:34. doi:10.1186/1744-8069-4-34
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      Wang J-Y, Zhang H-T, Chang J-Y, Woodward DJ, Baccalá LA, Luo F. Anticipation of pain enhances the nociceptive transmission and functional connectivity within pain network in rats [Internet]. Molecular Pain. 2008 ; 4:34[citado 2024 set. 28 ] Available from: https://doi.org/10.1186/1744-8069-4-34
    • Vancouver

      Wang J-Y, Zhang H-T, Chang J-Y, Woodward DJ, Baccalá LA, Luo F. Anticipation of pain enhances the nociceptive transmission and functional connectivity within pain network in rats [Internet]. Molecular Pain. 2008 ; 4:34[citado 2024 set. 28 ] Available from: https://doi.org/10.1186/1744-8069-4-34
  • Source: International Journal for Bioelectromagnetism. Unidades: EP, FM

    Assunto: NEUROFISIOLOGIA

    How to cite
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    • ABNT

      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: 28 set. 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.
    • NLM

      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 set. 28 ]
    • 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 set. 28 ]
  • Source: Journal of Applied Statistics. Unidades: EP, FM

    Subjects: REDES NEURAIS, EPILEPSIA

    How to cite
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    • ABNT

      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: 28 set. 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.
    • NLM

      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 set. 28 ]
    • 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 set. 28 ]
  • Source: Handbook of Time Series Analysis. Unidades: EP, FM

    Subjects: SISTEMAS DE CONTROLE, ANÁLISE DE SÉRIES TEMPORAIS

    Acesso à fonteDOIHow to cite
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    • ABNT

      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: 28 set. 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 set. 28 ] 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 set. 28 ] Available from: https://doi.org/10.1002/9783527609970.ch16
  • Source: Proceedings.. Conference titles: International Workshop on Telecommunications. Unidade: EP

    Assunto: TELECOMUNICAÇÕES

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      EISENCRAFT, Marcio e BACCALÁ, Luiz Antonio. The impact of the Lyapunov number on the Crámer-Rao lower bound for the estimation of chaotic signals. 2004, Anais.. Santa Rita do Sapucaí: Instituto Nacional de Telecomunicações, 2004. . Acesso em: 28 set. 2024.
    • APA

      Eisencraft, M., & Baccalá, L. A. (2004). The impact of the Lyapunov number on the Crámer-Rao lower bound for the estimation of chaotic signals. In Proceedings.. Santa Rita do Sapucaí: Instituto Nacional de Telecomunicações.
    • NLM

      Eisencraft M, Baccalá LA. The impact of the Lyapunov number on the Crámer-Rao lower bound for the estimation of chaotic signals. Proceedings. 2004 ;[citado 2024 set. 28 ]
    • Vancouver

      Eisencraft M, Baccalá LA. The impact of the Lyapunov number on the Crámer-Rao lower bound for the estimation of chaotic signals. Proceedings. 2004 ;[citado 2024 set. 28 ]

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