Filtros : "International Journal of Neural Systems" Limpar

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  • Source: International Journal of Neural Systems. Unidades: FFCLRP, FMRP

    Subjects: HIPOCAMPO, EPILEPSIA, SINAPSE

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    • ABNT

      PENA, Rodrigo Felipe de Oliveira et al. Modeling hippocampal CA1 gabaergic synapses of audiogenic rats. International Journal of Neural Systems, v. 30, n. 5, p. 1-14, 2020Tradução . . Disponível em: https://doi.org/10.1142/S0129065720500227. Acesso em: 19 abr. 2024.
    • APA

      Pena, R. F. de O., Ceballos, C. C., Deus, J. L. de, Roque, A. C., Garcia-Cairasco, N., Leão, R. M., & Cunha, A. O. S. (2020). Modeling hippocampal CA1 gabaergic synapses of audiogenic rats. International Journal of Neural Systems, 30( 5), 1-14. doi:10.1142/S0129065720500227
    • NLM

      Pena RF de O, Ceballos CC, Deus JL de, Roque AC, Garcia-Cairasco N, Leão RM, Cunha AOS. Modeling hippocampal CA1 gabaergic synapses of audiogenic rats [Internet]. International Journal of Neural Systems. 2020 ; 30( 5): 1-14.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1142/S0129065720500227
    • Vancouver

      Pena RF de O, Ceballos CC, Deus JL de, Roque AC, Garcia-Cairasco N, Leão RM, Cunha AOS. Modeling hippocampal CA1 gabaergic synapses of audiogenic rats [Internet]. International Journal of Neural Systems. 2020 ; 30( 5): 1-14.[citado 2024 abr. 19 ] Available from: https://doi.org/10.1142/S0129065720500227
  • Source: International Journal of Neural Systems. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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    • ABNT

      ZHAO, Liang e FURUKAWA, Rogério A. e CARVALHO, André Carlos Ponce de Leon Ferreira de. A network of coupled chaotic maps for adaptive multi-scale image segmentation. International Journal of Neural Systems, v. 13, n. 2, p. 129-137, 2003Tradução . . Acesso em: 19 abr. 2024.
    • APA

      Zhao, L., Furukawa, R. A., & Carvalho, A. C. P. de L. F. de. (2003). A network of coupled chaotic maps for adaptive multi-scale image segmentation. International Journal of Neural Systems, 13( 2), 129-137.
    • NLM

      Zhao L, Furukawa RA, Carvalho ACP de LF de. A network of coupled chaotic maps for adaptive multi-scale image segmentation. International Journal of Neural Systems. 2003 ; 13( 2): 129-137.[citado 2024 abr. 19 ]
    • Vancouver

      Zhao L, Furukawa RA, Carvalho ACP de LF de. A network of coupled chaotic maps for adaptive multi-scale image segmentation. International Journal of Neural Systems. 2003 ; 13( 2): 129-137.[citado 2024 abr. 19 ]
  • Source: International Journal of Neural Systems. Unidade: ICMC

    Assunto: REDES NEURAIS

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      ROMERO, Roseli Aparecida Francelin e KACPRZYK, Janusz e GOMIDE, Fernando. A biologically inspired neural networks for dynamic programming. International Journal of Neural Systems, v. 11, n. 6, p. 561-572, 2001Tradução . . Acesso em: 19 abr. 2024.
    • APA

      Romero, R. A. F., Kacprzyk, J., & Gomide, F. (2001). A biologically inspired neural networks for dynamic programming. International Journal of Neural Systems, 11( 6), 561-572.
    • NLM

      Romero RAF, Kacprzyk J, Gomide F. A biologically inspired neural networks for dynamic programming. International Journal of Neural Systems. 2001 ; 11( 6): 561-572.[citado 2024 abr. 19 ]
    • Vancouver

      Romero RAF, Kacprzyk J, Gomide F. A biologically inspired neural networks for dynamic programming. International Journal of Neural Systems. 2001 ; 11( 6): 561-572.[citado 2024 abr. 19 ]
  • Source: International Journal of Neural Systems. Unidade: EESC

    Subjects: REDES NEURAIS, ROBÔS, TRAJETÓRIA

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      BARRETO, Guilherme de A. e ARAÚJO, Aluízio Fausto Ribeiro. Unsupervised learning and temporal context to recall complex robot trajectories. International Journal of Neural Systems, v. 11, n. 1, p. 11-22, 2001Tradução . . Disponível em: https://repositorio.usp.br/directbitstream/3b5debd4-5fe8-404f-b0e7-4a7ef31d9de0/prod_000674_sysno_1211826%20%281%29.pdf. Acesso em: 19 abr. 2024.
    • APA

      Barreto, G. de A., & Araújo, A. F. R. (2001). Unsupervised learning and temporal context to recall complex robot trajectories. International Journal of Neural Systems, 11( 1), 11-22. Recuperado de https://repositorio.usp.br/directbitstream/3b5debd4-5fe8-404f-b0e7-4a7ef31d9de0/prod_000674_sysno_1211826%20%281%29.pdf
    • NLM

      Barreto G de A, Araújo AFR. Unsupervised learning and temporal context to recall complex robot trajectories [Internet]. International Journal of Neural Systems. 2001 ; 11( 1): 11-22.[citado 2024 abr. 19 ] Available from: https://repositorio.usp.br/directbitstream/3b5debd4-5fe8-404f-b0e7-4a7ef31d9de0/prod_000674_sysno_1211826%20%281%29.pdf
    • Vancouver

      Barreto G de A, Araújo AFR. Unsupervised learning and temporal context to recall complex robot trajectories [Internet]. International Journal of Neural Systems. 2001 ; 11( 1): 11-22.[citado 2024 abr. 19 ] Available from: https://repositorio.usp.br/directbitstream/3b5debd4-5fe8-404f-b0e7-4a7ef31d9de0/prod_000674_sysno_1211826%20%281%29.pdf
  • Source: International Journal of Neural Systems. Unidade: FFCLRP

    Subjects: NEUROLOGIA, BIOENGENHARIA

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      MAZZA, M. B. e PINHO, M. de e ROQUE, Antônio Carlos. Biologically plausible models of topographic map formation in the somatosensory and auditory cortices. International Journal of Neural Systems, v. 9, n. 3. p. 265-271, 1999Tradução . . Acesso em: 19 abr. 2024.
    • APA

      Mazza, M. B., Pinho, M. de, & Roque, A. C. (1999). Biologically plausible models of topographic map formation in the somatosensory and auditory cortices. International Journal of Neural Systems, 9( 3. p. 265-271).
    • NLM

      Mazza MB, Pinho M de, Roque AC. Biologically plausible models of topographic map formation in the somatosensory and auditory cortices. International Journal of Neural Systems. 1999 ; 9( 3. p. 265-271):[citado 2024 abr. 19 ]
    • Vancouver

      Mazza MB, Pinho M de, Roque AC. Biologically plausible models of topographic map formation in the somatosensory and auditory cortices. International Journal of Neural Systems. 1999 ; 9( 3. p. 265-271):[citado 2024 abr. 19 ]
  • Source: International Journal of Neural Systems. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      NOBRE, C. et al. Knowledge extraction: a comparison between symbolic and connectionist methods. International Journal of Neural Systems, v. 9, n. 3, p. 257-264, 1999Tradução . . Acesso em: 19 abr. 2024.
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      Nobre, C., Martineli, E., Braga, A. de P., Carvalho, A. C. P. de L. F. de, Rezende, S. O., Braga, J. L., & Ludermir, T. B. (1999). Knowledge extraction: a comparison between symbolic and connectionist methods. International Journal of Neural Systems, 9( 3), 257-264.
    • NLM

      Nobre C, Martineli E, Braga A de P, Carvalho ACP de LF de, Rezende SO, Braga JL, Ludermir TB. Knowledge extraction: a comparison between symbolic and connectionist methods. International Journal of Neural Systems. 1999 ; 9( 3): 257-264.[citado 2024 abr. 19 ]
    • Vancouver

      Nobre C, Martineli E, Braga A de P, Carvalho ACP de LF de, Rezende SO, Braga JL, Ludermir TB. Knowledge extraction: a comparison between symbolic and connectionist methods. International Journal of Neural Systems. 1999 ; 9( 3): 257-264.[citado 2024 abr. 19 ]
  • Source: International Journal of Neural Systems. Unidade: EESC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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    • ABNT

      BARRETO, Guilherme de A. e ARAÚJO, Aluízio Fausto Ribeiro. Unsupervised learning and recall of temporal sequences: an application to robotics. International Journal of Neural Systems, v. 9, n. 3, p. 235-242, 1999Tradução . . Disponível em: https://repositorio.usp.br/directbitstream/0e571c6a-c57b-4df1-a74c-5c15e9283430/prod_000653_sysno_1069602.pdf. Acesso em: 19 abr. 2024.
    • APA

      Barreto, G. de A., & Araújo, A. F. R. (1999). Unsupervised learning and recall of temporal sequences: an application to robotics. International Journal of Neural Systems, 9( 3), 235-242. Recuperado de https://repositorio.usp.br/directbitstream/0e571c6a-c57b-4df1-a74c-5c15e9283430/prod_000653_sysno_1069602.pdf
    • NLM

      Barreto G de A, Araújo AFR. Unsupervised learning and recall of temporal sequences: an application to robotics [Internet]. International Journal of Neural Systems. 1999 ; 9( 3): 235-242.[citado 2024 abr. 19 ] Available from: https://repositorio.usp.br/directbitstream/0e571c6a-c57b-4df1-a74c-5c15e9283430/prod_000653_sysno_1069602.pdf
    • Vancouver

      Barreto G de A, Araújo AFR. Unsupervised learning and recall of temporal sequences: an application to robotics [Internet]. International Journal of Neural Systems. 1999 ; 9( 3): 235-242.[citado 2024 abr. 19 ] Available from: https://repositorio.usp.br/directbitstream/0e571c6a-c57b-4df1-a74c-5c15e9283430/prod_000653_sysno_1069602.pdf
  • Source: International Journal of Neural Systems. Unidade: IFSC

    Subjects: INSTRUMENTAÇÃO (FÍSICA), SIMULAÇÃO, COMPUTAÇÃO APLICADA

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      FONTANARI, José Fernando e COSTA, L F. Resenha sem titulo proprio. International Journal of Neural Systems. Singapore: Instituto de Física de São Carlos, Universidade de São Paulo. . Acesso em: 19 abr. 2024. , 1995
    • APA

      Fontanari, J. F., & Costa, L. F. (1995). Resenha sem titulo proprio. International Journal of Neural Systems. Singapore: Instituto de Física de São Carlos, Universidade de São Paulo.
    • NLM

      Fontanari JF, Costa LF. Resenha sem titulo proprio. International Journal of Neural Systems. 1995 ; 6 ( 1 ): 107-108.[citado 2024 abr. 19 ]
    • Vancouver

      Fontanari JF, Costa LF. Resenha sem titulo proprio. International Journal of Neural Systems. 1995 ; 6 ( 1 ): 107-108.[citado 2024 abr. 19 ]

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