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Trabalho de evento
Network strucutral reconstruction based on delayed transfer entropy and synthetic data (2016)
Lima, Daniel Rodrigues de; Santos, Fernando Pasquini; Maciel, Carlos Dias
Source: Anais. Conference titles: Congresso Brasileiro de Automática - CBA. Unidade: EESC
Subjects: REDES NEURAIS, NEUROFISIOLOGIA, ENGENHARIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LIMA, Daniel Rodrigues de e SANTOS, Fernando Pasquini e MACIEL, Carlos Dias. Network strucutral reconstruction based on delayed transfer entropy and synthetic data. 2016, Anais.. Vitória, ES: UFES, 2016. Disponível em: https://repositorio.usp.br/directbitstream/d4b0f7df-5f9e-435a-a29e-236c75f712b4/CBA2016-0093_049140.PDF. Acesso em: 30 jun. 2024.
APA
Lima, D. R. de, Santos, F. P., & Maciel, C. D. (2016). Network strucutral reconstruction based on delayed transfer entropy and synthetic data. In Anais. Vitória, ES: UFES. Recuperado de https://repositorio.usp.br/directbitstream/d4b0f7df-5f9e-435a-a29e-236c75f712b4/CBA2016-0093_049140.PDF
NLM
Lima DR de, Santos FP, Maciel CD. Network strucutral reconstruction based on delayed transfer entropy and synthetic data [Internet]. Anais. 2016 ;[citado 2024 jun. 30 ] Available from: https://repositorio.usp.br/directbitstream/d4b0f7df-5f9e-435a-a29e-236c75f712b4/CBA2016-0093_049140.PDF
Vancouver
Lima DR de, Santos FP, Maciel CD. Network strucutral reconstruction based on delayed transfer entropy and synthetic data [Internet]. Anais. 2016 ;[citado 2024 jun. 30 ] Available from: https://repositorio.usp.br/directbitstream/d4b0f7df-5f9e-435a-a29e-236c75f712b4/CBA2016-0093_049140.PDF
Artigo de periodico
Delayed mutual information infers patterns of synaptic connectivity in a proprioceptive neural network (2015)
Endo, Wagner; Santos, Fernando Pasquini; Simpson, David; Maciel, Carlos Dias; Newland, Philip L.
Source: Journal of Computational Neuroscience. Unidade: EESC
Subjects: INFORMAÇÃO (FLUXO), REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ENDO, Wagner et al. Delayed mutual information infers patterns of synaptic connectivity in a proprioceptive neural network. Journal of Computational Neuroscience, v. 38, n. 2, p. 427-438, 2015Tradução . . Disponível em: https://doi.org/10.1007/s10827-015-0548-6. Acesso em: 30 jun. 2024.
APA
Endo, W., Santos, F. P., Simpson, D., Maciel, C. D., & Newland, P. L. (2015). Delayed mutual information infers patterns of synaptic connectivity in a proprioceptive neural network. Journal of Computational Neuroscience, 38( 2), 427-438. doi:10.1007/s10827-015-0548-6
NLM
Endo W, Santos FP, Simpson D, Maciel CD, Newland PL. Delayed mutual information infers patterns of synaptic connectivity in a proprioceptive neural network [Internet]. Journal of Computational Neuroscience. 2015 ; 38( 2): 427-438.[citado 2024 jun. 30 ] Available from: https://doi.org/10.1007/s10827-015-0548-6
Vancouver
Endo W, Santos FP, Simpson D, Maciel CD, Newland PL. Delayed mutual information infers patterns of synaptic connectivity in a proprioceptive neural network [Internet]. Journal of Computational Neuroscience. 2015 ; 38( 2): 427-438.[citado 2024 jun. 30 ] Available from: https://doi.org/10.1007/s10827-015-0548-6
Trabalho de evento
A PSO approach for learning transition structures of higher-order dynamic bayesian networks (2014)
Santos, Fernando Pasquini; Maciel, Carlos Dias
Source: Full Papers. Conference titles: ISSNIP-IEEE Biosignals and Biorobotics Conference. Unidade: EESC
Subjects: NEUROCIÊNCIAS, MÉTODOS MCMC, INFERÊNCIA BAYESIANA, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Fernando Pasquini e MACIEL, Carlos Dias. A PSO approach for learning transition structures of higher-order dynamic bayesian networks. 2014, Anais.. Piscataway: IEEE, 2014. . Acesso em: 30 jun. 2024.
APA
Santos, F. P., & Maciel, C. D. (2014). A PSO approach for learning transition structures of higher-order dynamic bayesian networks. In Full Papers. Piscataway: IEEE.
NLM
Santos FP, Maciel CD. A PSO approach for learning transition structures of higher-order dynamic bayesian networks. Full Papers. 2014 ;[citado 2024 jun. 30 ]
Vancouver
Santos FP, Maciel CD. A PSO approach for learning transition structures of higher-order dynamic bayesian networks. Full Papers. 2014 ;[citado 2024 jun. 30 ]

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