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  • Artigo de periodico

    NetPyNE implementation and scaling of the Potjans-Diesmann cortical microcircuit model (2021)

    Romaro, Cecília; Najman, Fernando Araujo; Lytton, William W.; Roque, Antônio Carlos ; Dura-Bernal, Salvador

    Source: Neural Computation. Unidades: FFCLRP, BIOINFORMÁTICA

    Subjects: REDES NEURAIS, CANAIS IÔNICOS

    Acesso à fonteDOIHow to cite
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    • ABNT

      ROMARO, Cecília et al. NetPyNE implementation and scaling of the Potjans-Diesmann cortical microcircuit model. Neural Computation, v. 33, n. 7, p. 1993-2032, 2021Tradução . . Disponível em: https://doi.org/10.1162/neco_a_01400. Acesso em: 27 abr. 2024.

    • APA

      Romaro, C., Najman, F. A., Lytton, W. W., Roque, A. C., & Dura-Bernal, S. (2021). NetPyNE implementation and scaling of the Potjans-Diesmann cortical microcircuit model. Neural Computation, 33( 7), 1993-2032. doi:10.1162/neco_a_01400

    • NLM

      Romaro C, Najman FA, Lytton WW, Roque AC, Dura-Bernal S. NetPyNE implementation and scaling of the Potjans-Diesmann cortical microcircuit model [Internet]. Neural Computation. 2021 ; 33( 7): 1993-2032.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1162/neco_a_01400

    • Vancouver

      Romaro C, Najman FA, Lytton WW, Roque AC, Dura-Bernal S. NetPyNE implementation and scaling of the Potjans-Diesmann cortical microcircuit model [Internet]. Neural Computation. 2021 ; 33( 7): 1993-2032.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1162/neco_a_01400

  • Artigo de periodico

    Comparison of different spike train synchrony measures regarding their robustness to erroneous data from bicuculline-induced epileptiform activity (2020)

    Ciba, Manuel; Bestel, Robert; Nick, Cristoph; Arruda, Guilherme Ferraz de; Peron, Thomas Kauê Dal'Maso; Comin, Cesar Henrique; Costa, Luciano da Fontoura ; Rodrigues, Francisco Aparecido ; Thielemann, Christiane

    Source: Neural Computation. Unidades: IFSC, ICMC

    Subjects: CÉREBRO, REDES NEURAIS

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    • ABNT

      CIBA, Manuel et al. Comparison of different spike train synchrony measures regarding their robustness to erroneous data from bicuculline-induced epileptiform activity. Neural Computation, v. 32, n. 5, p. 887-911, 2020Tradução . . Disponível em: https://doi.org/10.1162/neco_a_01277. Acesso em: 27 abr. 2024.

    • APA

      Ciba, M., Bestel, R., Nick, C., Arruda, G. F. de, Peron, T. K. D. 'M., Comin, C. H., et al. (2020). Comparison of different spike train synchrony measures regarding their robustness to erroneous data from bicuculline-induced epileptiform activity. Neural Computation, 32( 5), 887-911. doi:10.1162/neco_a_01277

    • NLM

      Ciba M, Bestel R, Nick C, Arruda GF de, Peron TKD'M, Comin CH, Costa L da F, Rodrigues FA, Thielemann C. Comparison of different spike train synchrony measures regarding their robustness to erroneous data from bicuculline-induced epileptiform activity [Internet]. Neural Computation. 2020 ; 32( 5): 887-911.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1162/neco_a_01277

    • Vancouver

      Ciba M, Bestel R, Nick C, Arruda GF de, Peron TKD'M, Comin CH, Costa L da F, Rodrigues FA, Thielemann C. Comparison of different spike train synchrony measures regarding their robustness to erroneous data from bicuculline-induced epileptiform activity [Internet]. Neural Computation. 2020 ; 32( 5): 887-911.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1162/neco_a_01277

  • Artigo de periodico

    Recording from two neurons: second-order stimulus reconstruction from spike trains and population coding (2010)

    Fernandes, N. M.; Pinto, B. D. L.; Almeida, Lirio Onofre Baptista de; Slaets, Jan Frans Willem; Koberle, Roland

    Source: Neural Computation. Unidade: IFSC

    Subjects: MOSCAS (EXPERIMENTOS), VISÃO, REDES NEURAIS, ESTÍMULOS

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    • ABNT

      FERNANDES, N. M. et al. Recording from two neurons: second-order stimulus reconstruction from spike trains and population coding. Neural Computation, v. 22, n. 10, p. 2537-2557, 2010Tradução . . Disponível em: https://doi.org/10.1162/NECO_a_00016. Acesso em: 27 abr. 2024.

    • APA

      Fernandes, N. M., Pinto, B. D. L., Almeida, L. O. B. de, Slaets, J. F. W., & Koberle, R. (2010). Recording from two neurons: second-order stimulus reconstruction from spike trains and population coding. Neural Computation, 22( 10), 2537-2557. doi:10.1162/NECO_a_00016

    • NLM

      Fernandes NM, Pinto BDL, Almeida LOB de, Slaets JFW, Koberle R. Recording from two neurons: second-order stimulus reconstruction from spike trains and population coding [Internet]. Neural Computation. 2010 ; 22( 10): 2537-2557.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1162/NECO_a_00016

    • Vancouver

      Fernandes NM, Pinto BDL, Almeida LOB de, Slaets JFW, Koberle R. Recording from two neurons: second-order stimulus reconstruction from spike trains and population coding [Internet]. Neural Computation. 2010 ; 22( 10): 2537-2557.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1162/NECO_a_00016

  • Artigo de periodico

    A taxonomy for spatiotemporal connectionist networks revisited: the unsupervised case (2003)

    Barreto, Guilherme de Alencar; Araújo, Aluizio Fausto Ribeiro; Kremer, Stefan C.

    Source: Neural Computation. Unidade: EESC

    Assunto: REDES NEURAIS

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    • ABNT

      BARRETO, Guilherme de Alencar e ARAÚJO, Aluizio Fausto Ribeiro e KREMER, Stefan C. A taxonomy for spatiotemporal connectionist networks revisited: the unsupervised case. Neural Computation, v. 15, n. 6, p. 46 , 2003Tradução . . Disponível em: http://neco.mitpress.org/cgi/content/full/15/6/1255. Acesso em: 27 abr. 2024.

    • APA

      Barreto, G. de A., Araújo, A. F. R., & Kremer, S. C. (2003). A taxonomy for spatiotemporal connectionist networks revisited: the unsupervised case. Neural Computation, 15( 6), 46 . Recuperado de http://neco.mitpress.org/cgi/content/full/15/6/1255

    • NLM

      Barreto G de A, Araújo AFR, Kremer SC. A taxonomy for spatiotemporal connectionist networks revisited: the unsupervised case [Internet]. Neural Computation. 2003 ; 15( 6): 46 .[citado 2024 abr. 27 ] Available from: http://neco.mitpress.org/cgi/content/full/15/6/1255

    • Vancouver

      Barreto G de A, Araújo AFR, Kremer SC. A taxonomy for spatiotemporal connectionist networks revisited: the unsupervised case [Internet]. Neural Computation. 2003 ; 15( 6): 46 .[citado 2024 abr. 27 ] Available from: http://neco.mitpress.org/cgi/content/full/15/6/1255

  • Artigo de periodico

    Computational capacity of an odorant discriminator: the linear separability of curves (2002)

    Caticha, Nestor; Palo Tejada, Juan Ernesto; Lancet, D; Domany, E

    Source: Neural Computation. Unidade: IF

    Assunto: REDES NEURAIS

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    • ABNT

      CATICHA, Nestor et al. Computational capacity of an odorant discriminator: the linear separability of curves. Neural Computation, v. 14, n. 9, p. 2201-2220, 2002Tradução . . Acesso em: 27 abr. 2024.

    • APA

      Caticha, N., Palo Tejada, J. E., Lancet, D., & Domany, E. (2002). Computational capacity of an odorant discriminator: the linear separability of curves. Neural Computation, 14( 9), 2201-2220.

    • NLM

      Caticha N, Palo Tejada JE, Lancet D, Domany E. Computational capacity of an odorant discriminator: the linear separability of curves. Neural Computation. 2002 ; 14( 9): 2201-2220.[citado 2024 abr. 27 ]

    • Vancouver

      Caticha N, Palo Tejada JE, Lancet D, Domany E. Computational capacity of an odorant discriminator: the linear separability of curves. Neural Computation. 2002 ; 14( 9): 2201-2220.[citado 2024 abr. 27 ]

  • Artigo de periodico

    Synergy in a neural code (2000)

    Brenner, N.; Strong, S. P.; Koberle, Roland; Bialek, W.; Van Steveninck, R. R. D.

    Source: Neural Computation. Unidade: IFSC

    Assunto: NEUROFISIOLOGIA

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    • ABNT

      BRENNER, N. et al. Synergy in a neural code. Neural Computation, v. 17, n. 7, p. 1531-1552, 2000Tradução . . Acesso em: 27 abr. 2024.

    • APA

      Brenner, N., Strong, S. P., Koberle, R., Bialek, W., & Van Steveninck, R. R. D. (2000). Synergy in a neural code. Neural Computation, 17( 7), 1531-1552.

    • NLM

      Brenner N, Strong SP, Koberle R, Bialek W, Van Steveninck RRD. Synergy in a neural code. Neural Computation. 2000 ; 17( 7): 1531-1552.[citado 2024 abr. 27 ]

    • Vancouver

      Brenner N, Strong SP, Koberle R, Bialek W, Van Steveninck RRD. Synergy in a neural code. Neural Computation. 2000 ; 17( 7): 1531-1552.[citado 2024 abr. 27 ]

  • Artigo de periodico

    Effect of delay on the boundary of the basin of attraction in a self-excited single graded-response neuron (1997)

    Pakdaman, K; Malta, Coraci Pereira; Ragazzo, Clodoaldo Grotta ; Vibert, J F

    Source: Neural Computation. Unidades: IF, IME

    Assunto: NEUROLOGIA

    Acesso à fonteDOIHow to cite
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    • ABNT

      PAKDAMAN, K et al. Effect of delay on the boundary of the basin of attraction in a self-excited single graded-response neuron. Neural Computation, v. 9, n. 2, p. 319-336, 1997Tradução . . Disponível em: https://doi.org/10.1162/neco.1997.9.2.319. Acesso em: 27 abr. 2024.

    • APA

      Pakdaman, K., Malta, C. P., Ragazzo, C. G., & Vibert, J. F. (1997). Effect of delay on the boundary of the basin of attraction in a self-excited single graded-response neuron. Neural Computation, 9( 2), 319-336. doi:10.1162/neco.1997.9.2.319

    • NLM

      Pakdaman K, Malta CP, Ragazzo CG, Vibert JF. Effect of delay on the boundary of the basin of attraction in a self-excited single graded-response neuron [Internet]. Neural Computation. 1997 ; 9( 2): 319-336.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1162/neco.1997.9.2.319

    • Vancouver

      Pakdaman K, Malta CP, Ragazzo CG, Vibert JF. Effect of delay on the boundary of the basin of attraction in a self-excited single graded-response neuron [Internet]. Neural Computation. 1997 ; 9( 2): 319-336.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1162/neco.1997.9.2.319
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