Filtros : "Neurocomputing" "2002" Limpar

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  • Source: Neurocomputing. Unidade: FFCLRP

    Assunto: FÍSICA

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    • ABNT

      MAZZA, Marcelo et al. Tsallis information measure applied to the analysis of EEG signals in a model of the somatosensory system. Neurocomputing, v. 44-46, p. 915-921, 2002Tradução . . Disponível em: https://doi.org/10.1016/s0925-2312(02)00491-5. Acesso em: 11 nov. 2025.
    • APA

      Mazza, M., Tedeschi, W., Pinho, M. de, & Neves, U. P. da C. (2002). Tsallis information measure applied to the analysis of EEG signals in a model of the somatosensory system. Neurocomputing, 44-46, 915-921. doi:10.1016/s0925-2312(02)00491-5
    • NLM

      Mazza M, Tedeschi W, Pinho M de, Neves UP da C. Tsallis information measure applied to the analysis of EEG signals in a model of the somatosensory system [Internet]. Neurocomputing. 2002 ; 44-46 915-921.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/s0925-2312(02)00491-5
    • Vancouver

      Mazza M, Tedeschi W, Pinho M de, Neves UP da C. Tsallis information measure applied to the analysis of EEG signals in a model of the somatosensory system [Internet]. Neurocomputing. 2002 ; 44-46 915-921.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/s0925-2312(02)00491-5
  • Source: Neurocomputing. Unidades: EP, FFCLRP

    Subjects: ENTROPIA, MATEMÁTICA APLICADA

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    • ABNT

      PINHO, Marilene de et al. Shannon's entropy applied to the analysis of tonotopic reorganization in a computational model of classical conditioning. Neurocomputing, v. 44-46, p. 359-364, 2002Tradução . . Disponível em: https://doi.org/10.1016/s0925-2312(02)00382-x. Acesso em: 11 nov. 2025.
    • APA

      Pinho, M. de, Mazza, M., Piqueira, J. R. C., & Roque, A. C. (2002). Shannon's entropy applied to the analysis of tonotopic reorganization in a computational model of classical conditioning. Neurocomputing, 44-46, 359-364. doi:10.1016/s0925-2312(02)00382-x
    • NLM

      Pinho M de, Mazza M, Piqueira JRC, Roque AC. Shannon's entropy applied to the analysis of tonotopic reorganization in a computational model of classical conditioning [Internet]. Neurocomputing. 2002 ; 44-46 359-364.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/s0925-2312(02)00382-x
    • Vancouver

      Pinho M de, Mazza M, Piqueira JRC, Roque AC. Shannon's entropy applied to the analysis of tonotopic reorganization in a computational model of classical conditioning [Internet]. Neurocomputing. 2002 ; 44-46 359-364.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/s0925-2312(02)00382-x
  • Source: Neurocomputing. Unidades: EP, FFCLRP

    Subjects: ENTROPIA, MATEMÁTICA APLICADA, RECEPTORES SENSORIAIS

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    • ABNT

      MAZZA, Marcelo et al. Using information theory for the analysis of cortical reorganization in a realistic computational model of the somatosensory system. Neurocomputing, v. 44-46, p. 923-928, 2002Tradução . . Disponível em: https://doi.org/10.1016/s0925-2312(02)00492-7. Acesso em: 11 nov. 2025.
    • APA

      Mazza, M., Pinho, M. de, Piqueira, J. R. C., & Roque, A. C. (2002). Using information theory for the analysis of cortical reorganization in a realistic computational model of the somatosensory system. Neurocomputing, 44-46, 923-928. doi:10.1016/s0925-2312(02)00492-7
    • NLM

      Mazza M, Pinho M de, Piqueira JRC, Roque AC. Using information theory for the analysis of cortical reorganization in a realistic computational model of the somatosensory system [Internet]. Neurocomputing. 2002 ; 44-46 923-928.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/s0925-2312(02)00492-7
    • Vancouver

      Mazza M, Pinho M de, Piqueira JRC, Roque AC. Using information theory for the analysis of cortical reorganization in a realistic computational model of the somatosensory system [Internet]. Neurocomputing. 2002 ; 44-46 923-928.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/s0925-2312(02)00492-7
  • Source: Neurocomputing. Unidade: FFCLRP

    Subjects: REDES NEURAIS, OLFATO (SISTEMAS)

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    • ABNT

      SIMÕES-DE-SOUZA, Fábio M. e ROQUE, Antônio Carlos. Simulation of a vertebrate receptor cell of the olfactory epithelium for use in network models. Neurocomputing, v. 44-46, p. 177-182, 2002Tradução . . Disponível em: https://doi.org/10.1016/s0925-2312(02)00387-9. Acesso em: 11 nov. 2025.
    • APA

      Simões-de-Souza, F. M., & Roque, A. C. (2002). Simulation of a vertebrate receptor cell of the olfactory epithelium for use in network models. Neurocomputing, 44-46, 177-182. doi:10.1016/s0925-2312(02)00387-9
    • NLM

      Simões-de-Souza FM, Roque AC. Simulation of a vertebrate receptor cell of the olfactory epithelium for use in network models [Internet]. Neurocomputing. 2002 ; 44-46 177-182.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/s0925-2312(02)00387-9
    • Vancouver

      Simões-de-Souza FM, Roque AC. Simulation of a vertebrate receptor cell of the olfactory epithelium for use in network models [Internet]. Neurocomputing. 2002 ; 44-46 177-182.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/s0925-2312(02)00387-9
  • Source: Neurocomputing. Unidade: IFSC

    Subjects: REDES NEURAIS, INTELIGÊNCIA ARTIFICIAL

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      COELHO, Regina Célia e COSTA, Luciano da Fontoura. Realistic neuromorphic models and their application to neural reorganization simulations. Neurocomputing, v. 48, p. 555-571, 2002Tradução . . Disponível em: https://doi.org/10.1016/s0925-2312(01)00628-2. Acesso em: 11 nov. 2025.
    • APA

      Coelho, R. C., & Costa, L. da F. (2002). Realistic neuromorphic models and their application to neural reorganization simulations. Neurocomputing, 48, 555-571. doi:10.1016/s0925-2312(01)00628-2
    • NLM

      Coelho RC, Costa L da F. Realistic neuromorphic models and their application to neural reorganization simulations [Internet]. Neurocomputing. 2002 ; 48 555-571.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/s0925-2312(01)00628-2
    • Vancouver

      Coelho RC, Costa L da F. Realistic neuromorphic models and their application to neural reorganization simulations [Internet]. Neurocomputing. 2002 ; 48 555-571.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/s0925-2312(01)00628-2
  • Source: Neurocomputing. Unidade: FFCLRP

    Subjects: REDES NEURAIS, CÓRTEX VISUAL

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    • ABNT

      OLIVEIRA, Rodrigo Freire e ROQUE, Antônio Carlos. A biologically plausible neural network model of the primate primary visual system. Neurocomputing, v. 44-46, p. 957-963, 2002Tradução . . Disponível em: https://doi.org/10.1016/s0925-2312(02)00497-6. Acesso em: 11 nov. 2025.
    • APA

      Oliveira, R. F., & Roque, A. C. (2002). A biologically plausible neural network model of the primate primary visual system. Neurocomputing, 44-46, 957-963. doi:10.1016/s0925-2312(02)00497-6
    • NLM

      Oliveira RF, Roque AC. A biologically plausible neural network model of the primate primary visual system [Internet]. Neurocomputing. 2002 ; 44-46 957-963.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/s0925-2312(02)00497-6
    • Vancouver

      Oliveira RF, Roque AC. A biologically plausible neural network model of the primate primary visual system [Internet]. Neurocomputing. 2002 ; 44-46 957-963.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/s0925-2312(02)00497-6

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