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  • Source: Neurocomputing. Unidades: FFCLRP, ICMC

    Subjects: TURISMO, MEMÓRIA (ELETRÔNICA DIGITAL), ATRATORES

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      RODRIGUES, Rafael Delalibera et al. A tourist walk approach for internal and external outlier detection. Neurocomputing, v. 393, p. 203-213, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2018.10.113. Acesso em: 11 nov. 2025.
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      Rodrigues, R. D., Liang, Z., Zheng, Q., & Zhang, J. (2020). A tourist walk approach for internal and external outlier detection. Neurocomputing, 393, 203-213. doi:10.1016/j.neucom.2018.10.113
    • NLM

      Rodrigues RD, Liang Z, Zheng Q, Zhang J. A tourist walk approach for internal and external outlier detection [Internet]. Neurocomputing. 2020 ; 393 203-213.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/j.neucom.2018.10.113
    • Vancouver

      Rodrigues RD, Liang Z, Zheng Q, Zhang J. A tourist walk approach for internal and external outlier detection [Internet]. Neurocomputing. 2020 ; 393 203-213.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/j.neucom.2018.10.113
  • Source: Neurocomputing. Unidades: FFCLRP, ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, RECONHECIMENTO DE OBJETOS

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      BENICASA, Alcides X et al. An object-based visual selection framework. Neurocomputing, v. 180, p. 35-54, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2015.10.111. Acesso em: 11 nov. 2025.
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      Benicasa, A. X., Quiles, M. G., Silva, T. C., Liang, Z., & Romero, R. A. F. (2016). An object-based visual selection framework. Neurocomputing, 180, 35-54. doi:10.1016/j.neucom.2015.10.111
    • NLM

      Benicasa AX, Quiles MG, Silva TC, Liang Z, Romero RAF. An object-based visual selection framework [Internet]. Neurocomputing. 2016 ; 180 35-54.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/j.neucom.2015.10.111
    • Vancouver

      Benicasa AX, Quiles MG, Silva TC, Liang Z, Romero RAF. An object-based visual selection framework [Internet]. Neurocomputing. 2016 ; 180 35-54.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/j.neucom.2015.10.111
  • Source: Neurocomputing. Unidade: FFCLRP

    Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL

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      CUPERTINO, Thiago H. e ZHAO, Liang e CARNEIRO, Murillo G. Network-based supervised data classification by using an heuristic of ease of access. Neurocomputing, v. 149, p. 86-92, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2014.03.071. Acesso em: 11 nov. 2025.
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      Cupertino, T. H., Zhao, L., & Carneiro, M. G. (2015). Network-based supervised data classification by using an heuristic of ease of access. Neurocomputing, 149, 86-92. doi:10.1016/j.neucom.2014.03.071
    • NLM

      Cupertino TH, Zhao L, Carneiro MG. Network-based supervised data classification by using an heuristic of ease of access [Internet]. Neurocomputing. 2015 ; 149 86-92.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/j.neucom.2014.03.071
    • Vancouver

      Cupertino TH, Zhao L, Carneiro MG. Network-based supervised data classification by using an heuristic of ease of access [Internet]. Neurocomputing. 2015 ; 149 86-92.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/j.neucom.2014.03.071
  • Source: Neurocomputing. Unidade: FFCLRP

    Subjects: INTELIGÊNCIA ARTIFICIAL, COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS

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      BREVE, Fabricio A e LIANG, Zhao e QUILES, Marcos G. Particle competition and cooperation for semi-supervised learning with label noise. Neurocomputing, v. 160, p. 63-72, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2014.08.082. Acesso em: 11 nov. 2025.
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      Breve, F. A., Liang, Z., & Quiles, M. G. (2015). Particle competition and cooperation for semi-supervised learning with label noise. Neurocomputing, 160, 63-72. doi:10.1016/j.neucom.2014.08.082
    • NLM

      Breve FA, Liang Z, Quiles MG. Particle competition and cooperation for semi-supervised learning with label noise [Internet]. Neurocomputing. 2015 ; 160 63-72.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/j.neucom.2014.08.082
    • Vancouver

      Breve FA, Liang Z, Quiles MG. Particle competition and cooperation for semi-supervised learning with label noise [Internet]. Neurocomputing. 2015 ; 160 63-72.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/j.neucom.2014.08.082
  • Source: Neurocomputing. Unidades: FFCLRP, ICMC

    Assunto: ARQUITETURA E ORGANIZAÇÃO DE COMPUTADORES

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      TINÓS, Renato e CARVALHO, André Carlos Ponce de Leon Ferreira de. Use of gene dependent mutation probability in evolutionary neural networks for non-stationary problems. Neurocomputing, v. 70, n. 1-3, p. 44-54, 2006Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2006.07.005. Acesso em: 11 nov. 2025.
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      Tinós, R., & Carvalho, A. C. P. de L. F. de. (2006). Use of gene dependent mutation probability in evolutionary neural networks for non-stationary problems. Neurocomputing, 70( 1-3), 44-54. doi:10.1016/j.neucom.2006.07.005
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      Tinós R, Carvalho ACP de LF de. Use of gene dependent mutation probability in evolutionary neural networks for non-stationary problems [Internet]. Neurocomputing. 2006 ; 70( 1-3): 44-54.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/j.neucom.2006.07.005
    • Vancouver

      Tinós R, Carvalho ACP de LF de. Use of gene dependent mutation probability in evolutionary neural networks for non-stationary problems [Internet]. Neurocomputing. 2006 ; 70( 1-3): 44-54.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/j.neucom.2006.07.005
  • Source: Neurocomputing. Unidade: FFCLRP

    Subjects: NEUROCIÊNCIAS, CIÊNCIA DA COMPUTAÇÃO

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      COPELLI, Mauro et al. Signal compression in the sensory periphery. Neurocomputing, v. 65-66, p. 691-696, 2005Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2004.10.099. Acesso em: 11 nov. 2025.
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      Copelli, M., Oliveira, R. F., Roque, A. C., & Kinouchi, O. (2005). Signal compression in the sensory periphery. Neurocomputing, 65-66, 691-696. doi:10.1016/j.neucom.2004.10.099
    • NLM

      Copelli M, Oliveira RF, Roque AC, Kinouchi O. Signal compression in the sensory periphery [Internet]. Neurocomputing. 2005 ; 65-66 691-696.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/j.neucom.2004.10.099
    • Vancouver

      Copelli M, Oliveira RF, Roque AC, Kinouchi O. Signal compression in the sensory periphery [Internet]. Neurocomputing. 2005 ; 65-66 691-696.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/j.neucom.2004.10.099
  • Source: Neurocomputing. Conference titles: Computational Neuroscience Meeting - CNS. Unidades: IFSC, FFCLRP

    Subjects: NEUROCIÊNCIAS, REDES NEURAIS

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      OLIVEIRA, Rodrigo F. e COSTA, Luciano da Fontoura e ROQUE, Antônio Carlos. A possible mechanism of curvature coding in early vision. Neurocomputing. Amsterdam: Elsevier Science Bv. . Acesso em: 11 nov. 2025. , 2005
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      Oliveira, R. F., Costa, L. da F., & Roque, A. C. (2005). A possible mechanism of curvature coding in early vision. Neurocomputing. Amsterdam: Elsevier Science Bv.
    • NLM

      Oliveira RF, Costa L da F, Roque AC. A possible mechanism of curvature coding in early vision. Neurocomputing. 2005 ; 65-66 117-124.[citado 2025 nov. 11 ]
    • Vancouver

      Oliveira RF, Costa L da F, Roque AC. A possible mechanism of curvature coding in early vision. Neurocomputing. 2005 ; 65-66 117-124.[citado 2025 nov. 11 ]
  • Source: Neurocomputing. Unidade: FFCLRP

    Subjects: NEUROCIÊNCIAS, SINAPSE, OLFATO

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      SIMÕES-DE-SOUZA, Fábio M. e ROQUE, Antônio Carlos. Self-sustained waves in a computational model of the olfactory epithelium with gap junctions. Neurocomputing, v. 58-60, p. 1033-1039, 2004Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2004.01.163. Acesso em: 11 nov. 2025.
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      Simões-de-Souza, F. M., & Roque, A. C. (2004). Self-sustained waves in a computational model of the olfactory epithelium with gap junctions. Neurocomputing, 58-60, 1033-1039. doi:10.1016/j.neucom.2004.01.163
    • NLM

      Simões-de-Souza FM, Roque AC. Self-sustained waves in a computational model of the olfactory epithelium with gap junctions [Internet]. Neurocomputing. 2004 ; 58-60 1033-1039.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/j.neucom.2004.01.163
    • Vancouver

      Simões-de-Souza FM, Roque AC. Self-sustained waves in a computational model of the olfactory epithelium with gap junctions [Internet]. Neurocomputing. 2004 ; 58-60 1033-1039.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/j.neucom.2004.01.163
  • Source: Neurocomputing. Unidade: FFCLRP

    Subjects: NEUROCIÊNCIAS, REDES NEURAIS

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      ANTUNES, Gabriela e SIMÕES-DE-SOUZA, Fábio M. e ROQUE, Antônio C. Sensitivity of AMPA receptor channel to calcium oscillations: a computational study. Neurocomputing, v. 52-54, p. 341-346, 2003Tradução . . Disponível em: https://doi.org/10.1016/s0925-2312(02)00828-7. Acesso em: 11 nov. 2025.
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      Antunes, G., Simões-de-Souza, F. M., & Roque, A. C. (2003). Sensitivity of AMPA receptor channel to calcium oscillations: a computational study. Neurocomputing, 52-54, 341-346. doi:10.1016/s0925-2312(02)00828-7
    • NLM

      Antunes G, Simões-de-Souza FM, Roque AC. Sensitivity of AMPA receptor channel to calcium oscillations: a computational study [Internet]. Neurocomputing. 2003 ; 52-54 341-346.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/s0925-2312(02)00828-7
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      Antunes G, Simões-de-Souza FM, Roque AC. Sensitivity of AMPA receptor channel to calcium oscillations: a computational study [Internet]. Neurocomputing. 2003 ; 52-54 341-346.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/s0925-2312(02)00828-7
  • Source: Neurocomputing. Unidade: FFCLRP

    Assunto: FÍSICA

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      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.
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      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
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      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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      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.
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      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
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      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
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      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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      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.
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      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
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      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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      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.
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      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: FFCLRP

    Subjects: REDES NEURAIS, CÓRTEX VISUAL

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      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.
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      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
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      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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      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
  • Source: Neurocomputing. Unidade: FFCLRP

    Assunto: PSICOFARMACOLOGIA

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      MAZZA, Marcelo e PINHO, Marilene de e ROQUE, Antônio Carlos. Alterations of maps induced by blockage of synaptic receptors in a computer simulation of the somatosensory system. Neurocomputing, v. 38/40, p. 1453-1459, 2001Tradução . . Disponível em: https://doi.org/10.1016/s0925-2312(01)00526-4. Acesso em: 11 nov. 2025.
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      Mazza, M., Pinho, M. de, & Roque, A. C. (2001). Alterations of maps induced by blockage of synaptic receptors in a computer simulation of the somatosensory system. Neurocomputing, 38/40, 1453-1459. doi:10.1016/s0925-2312(01)00526-4
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      Mazza M, Pinho M de, Roque AC. Alterations of maps induced by blockage of synaptic receptors in a computer simulation of the somatosensory system [Internet]. Neurocomputing. 2001 ; 38/40 1453-1459.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/s0925-2312(01)00526-4
    • Vancouver

      Mazza M, Pinho M de, Roque AC. Alterations of maps induced by blockage of synaptic receptors in a computer simulation of the somatosensory system [Internet]. Neurocomputing. 2001 ; 38/40 1453-1459.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/s0925-2312(01)00526-4
  • Source: Neurocomputing. Unidade: FFCLRP

    Subjects: FÍSICA TEÓRICA, COMPORTAMENTO (SIMULAÇÃO)

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      KUVA, Silvia Maria et al. A minimal model for excitable and bursting elements. Neurocomputing, v. 38-40, p. 255-261, 2001Tradução . . Disponível em: https://doi.org/10.1016/s0925-2312(01)00376-9. Acesso em: 11 nov. 2025.
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      Kuva, S. M., Lima, G. F. de, Kinouchi, O., Tragtenberg, M. H. R., & Roque, A. C. (2001). A minimal model for excitable and bursting elements. Neurocomputing, 38-40, 255-261. doi:10.1016/s0925-2312(01)00376-9
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      Kuva SM, Lima GF de, Kinouchi O, Tragtenberg MHR, Roque AC. A minimal model for excitable and bursting elements [Internet]. Neurocomputing. 2001 ; 38-40 255-261.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/s0925-2312(01)00376-9
    • Vancouver

      Kuva SM, Lima GF de, Kinouchi O, Tragtenberg MHR, Roque AC. A minimal model for excitable and bursting elements [Internet]. Neurocomputing. 2001 ; 38-40 255-261.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/s0925-2312(01)00376-9
  • Source: Neurocomputing. Unidade: FFCLRP

    Subjects: MEDICINA FÍSICA, NEUROLOGIA, CONDICIONAMENTO (PSICOLOGIA), COMPUTAÇÃO APLICADA, ZOOLOGIA

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      PINHO, Marilene de e MAZZA, Marcelo e ROQUE, Antônio Carlos. A biologically plausible computational model of classical conditioning induced reorganization of tonotopic maps in the auditory cortex. Neurocomputing, v. 32-33, p. 685-691, 2000Tradução . . Disponível em: https://doi.org/10.1016/s0925-2312(00)00233-2. Acesso em: 11 nov. 2025.
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      Pinho, M. de, Mazza, M., & Roque, A. C. (2000). A biologically plausible computational model of classical conditioning induced reorganization of tonotopic maps in the auditory cortex. Neurocomputing, 32-33, 685-691. doi:10.1016/s0925-2312(00)00233-2
    • NLM

      Pinho M de, Mazza M, Roque AC. A biologically plausible computational model of classical conditioning induced reorganization of tonotopic maps in the auditory cortex [Internet]. Neurocomputing. 2000 ; 32-33 685-691.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/s0925-2312(00)00233-2
    • Vancouver

      Pinho M de, Mazza M, Roque AC. A biologically plausible computational model of classical conditioning induced reorganization of tonotopic maps in the auditory cortex [Internet]. Neurocomputing. 2000 ; 32-33 685-691.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/s0925-2312(00)00233-2
  • Source: Neurocomputing. Unidade: FFCLRP

    Subjects: MEDICINA FÍSICA, NEUROLOGIA, COMPUTAÇÃO APLICADA, ZOOLOGIA

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      MAZZA, Marcelo e ROQUE, Antônio Carlos. Realistic computer simulation of cortical lesion induced imbalances in properties of somatotopic maps. Neurocomputing, v. 32-33, p. 433-459, 2000Tradução . . Disponível em: https://doi.org/10.1016/s0925-2312(00)00199-5. Acesso em: 11 nov. 2025.
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      Mazza, M., & Roque, A. C. (2000). Realistic computer simulation of cortical lesion induced imbalances in properties of somatotopic maps. Neurocomputing, 32-33, 433-459. doi:10.1016/s0925-2312(00)00199-5
    • NLM

      Mazza M, Roque AC. Realistic computer simulation of cortical lesion induced imbalances in properties of somatotopic maps [Internet]. Neurocomputing. 2000 ; 32-33 433-459.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/s0925-2312(00)00199-5
    • Vancouver

      Mazza M, Roque AC. Realistic computer simulation of cortical lesion induced imbalances in properties of somatotopic maps [Internet]. Neurocomputing. 2000 ; 32-33 433-459.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/s0925-2312(00)00199-5
  • Source: Neurocomputing. Unidade: FFCLRP

    Assunto: COMPUTAÇÃO APLICADA

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      SALUM, Cristiane e ROQUE, Antônio Carlos e PICKERING, Alan. Striatal dopamine in attentional learning: a computational model. Neurocomputing, v. 26-27, p. 846-854, 1999Tradução . . Disponível em: https://doi.org/10.1016/s0925-2312(98)00129-5. Acesso em: 11 nov. 2025.
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      Salum, C., Roque, A. C., & Pickering, A. (1999). Striatal dopamine in attentional learning: a computational model. Neurocomputing, 26-27, 846-854. doi:10.1016/s0925-2312(98)00129-5
    • NLM

      Salum C, Roque AC, Pickering A. Striatal dopamine in attentional learning: a computational model [Internet]. Neurocomputing. 1999 ; 26-27 846-854.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/s0925-2312(98)00129-5
    • Vancouver

      Salum C, Roque AC, Pickering A. Striatal dopamine in attentional learning: a computational model [Internet]. Neurocomputing. 1999 ; 26-27 846-854.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/s0925-2312(98)00129-5
  • Source: Neurocomputing. Unidade: FFCLRP

    Assunto: COMPUTAÇÃO APLICADA

    Acesso à fonteDOIHow to cite
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    • ABNT

      MAZZA, Marcelo B e ROQUE, Antônio Carlos. Computational model of topographic reorganization in somatosensory cortex in response to digit lesions. Neurocomputing, v. 26-27, p. 435-441, 1999Tradução . . Disponível em: https://doi.org/10.1016/s0925-2312(99)00049-1. Acesso em: 11 nov. 2025.
    • APA

      Mazza, M. B., & Roque, A. C. (1999). Computational model of topographic reorganization in somatosensory cortex in response to digit lesions. Neurocomputing, 26-27, 435-441. doi:10.1016/s0925-2312(99)00049-1
    • NLM

      Mazza MB, Roque AC. Computational model of topographic reorganization in somatosensory cortex in response to digit lesions [Internet]. Neurocomputing. 1999 ; 26-27 435-441.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/s0925-2312(99)00049-1
    • Vancouver

      Mazza MB, Roque AC. Computational model of topographic reorganization in somatosensory cortex in response to digit lesions [Internet]. Neurocomputing. 1999 ; 26-27 435-441.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1016/s0925-2312(99)00049-1

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