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Artigo de periodico
The neuroscience experiments system (NES): a software tool to manage experimental data and its provenance (2022)
Ruiz Olazar, Margarita ; Rocha, Evandro Santos; Vargas, Claudia D. ; Braghetto, Kelly Rosa
Source: Frontiers in Neuroinformatics. Unidades: BIOINFORMÁTICA, IME
Subjects: NEUROCIÊNCIAS, BANCO DE DADOS, SOFTWARE LIVRE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RUIZ OLAZAR, Margarita et al. The neuroscience experiments system (NES): a software tool to manage experimental data and its provenance. Frontiers in Neuroinformatics, v. 157, 2022Tradução . . Disponível em: https://doi.org/10.3389/fninf.2021.768615. Acesso em: 19 abr. 2024.
APA
Ruiz Olazar, M., Rocha, E. S., Vargas, C. D., & Braghetto, K. R. (2022). The neuroscience experiments system (NES): a software tool to manage experimental data and its provenance. Frontiers in Neuroinformatics, 157. doi:10.3389/fninf.2021.768615
NLM
Ruiz Olazar M, Rocha ES, Vargas CD, Braghetto KR. The neuroscience experiments system (NES): a software tool to manage experimental data and its provenance [Internet]. Frontiers in Neuroinformatics. 2022 ; 157[citado 2024 abr. 19 ] Available from: https://doi.org/10.3389/fninf.2021.768615
Vancouver
Ruiz Olazar M, Rocha ES, Vargas CD, Braghetto KR. The neuroscience experiments system (NES): a software tool to manage experimental data and its provenance [Internet]. Frontiers in Neuroinformatics. 2022 ; 157[citado 2024 abr. 19 ] Available from: https://doi.org/10.3389/fninf.2021.768615
Artigo de periodico
Temporal code-driven stimulation: definition and application to electric fish signaling (2016)
Lareo, Angel; Forlim, Caroline G.; Pinto, Reynaldo Daniel; Varona, Pablo; Rodriguez, Francisco de Borja
Source: Frontiers in Neuroinformatics. Unidade: IFSC
Subjects: BIOINFORMÁTICA, PROCESSAMENTO DE SINAIS, TEORIA DA INFORMAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LAREO, Angel et al. Temporal code-driven stimulation: definition and application to electric fish signaling. Frontiers in Neuroinformatics, v. 10, p. 41-1-41-13, 2016Tradução . . Disponível em: https://doi.org/10.3389/fninf.2016.00041. Acesso em: 19 abr. 2024.
APA
Lareo, A., Forlim, C. G., Pinto, R. D., Varona, P., & Rodriguez, F. de B. (2016). Temporal code-driven stimulation: definition and application to electric fish signaling. Frontiers in Neuroinformatics, 10, 41-1-41-13. doi:10.3389/fninf.2016.00041
NLM
Lareo A, Forlim CG, Pinto RD, Varona P, Rodriguez F de B. Temporal code-driven stimulation: definition and application to electric fish signaling [Internet]. Frontiers in Neuroinformatics. 2016 ; 10 41-1-41-13.[citado 2024 abr. 19 ] Available from: https://doi.org/10.3389/fninf.2016.00041
Vancouver
Lareo A, Forlim CG, Pinto RD, Varona P, Rodriguez F de B. Temporal code-driven stimulation: definition and application to electric fish signaling [Internet]. Frontiers in Neuroinformatics. 2016 ; 10 41-1-41-13.[citado 2024 abr. 19 ] Available from: https://doi.org/10.3389/fninf.2016.00041
Trabalho de evento-anais periodico
NES: a free software to manage data from neuroscience experiments (2016)
Ruiz Olazar, Margarita; Rocha, Evandro S; Rabaça, Sueli D.; Ribas, Carlos Eduardo; Vargas, Claudia D; Nascimento, Amanda S; Braghetto, Kelly Rosa
Source: Frontiers in Neuroinformatics. Conference titles: Neuroinformatics. Unidade: IME
Assunto: NEUROCIÊNCIAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RUIZ OLAZAR, Margarita et al. NES: a free software to manage data from neuroscience experiments. Frontiers in Neuroinformatics. Lausanne: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.3389/conf.fninf.2016.20.00043. Acesso em: 19 abr. 2024. , 2016
APA
Ruiz Olazar, M., Rocha, E. S., Rabaça, S. D., Ribas, C. E., Vargas, C. D., Nascimento, A. S., & Braghetto, K. R. (2016). NES: a free software to manage data from neuroscience experiments. Frontiers in Neuroinformatics. Lausanne: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.3389/conf.fninf.2016.20.00043
NLM
Ruiz Olazar M, Rocha ES, Rabaça SD, Ribas CE, Vargas CD, Nascimento AS, Braghetto KR. NES: a free software to manage data from neuroscience experiments [Internet]. Frontiers in Neuroinformatics. 2016 ; 10[citado 2024 abr. 19 ] Available from: https://doi.org/10.3389/conf.fninf.2016.20.00043
Vancouver
Ruiz Olazar M, Rocha ES, Rabaça SD, Ribas CE, Vargas CD, Nascimento AS, Braghetto KR. NES: a free software to manage data from neuroscience experiments [Internet]. Frontiers in Neuroinformatics. 2016 ; 10[citado 2024 abr. 19 ] Available from: https://doi.org/10.3389/conf.fninf.2016.20.00043
Artigo de periodico
Canonical information flow decomposition among neural structure subsets (2014)
Takahashi, Daniel Yasumasa ; Baccalá, Luiz Antonio ; Sameshima, Koichi
Source: Frontiers in Neuroinformatics. Unidades: EP, FM
Subjects: NEURÔNIOS (ANATOMIA;FISIOLOGIA), NEUROCIÊNCIAS, INFORMAÇÃO, TEORIA DA INFORMAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TAKAHASHI, Daniel Yasumasa e BACCALÁ, Luiz Antonio e SAMESHIMA, Koichi. Canonical information flow decomposition among neural structure subsets. Frontiers in Neuroinformatics, v. 8, p. 49, 2014Tradução . . Disponível em: https://doi.org/10.3389/fninf.2014.00049. Acesso em: 19 abr. 2024.
APA
Takahashi, D. Y., Baccalá, L. A., & Sameshima, K. (2014). Canonical information flow decomposition among neural structure subsets. Frontiers in Neuroinformatics, 8, 49. doi:10.3389/fninf.2014.00049
NLM
Takahashi DY, Baccalá LA, Sameshima K. Canonical information flow decomposition among neural structure subsets [Internet]. Frontiers in Neuroinformatics. 2014 ; 8 49.[citado 2024 abr. 19 ] Available from: https://doi.org/10.3389/fninf.2014.00049
Vancouver
Takahashi DY, Baccalá LA, Sameshima K. Canonical information flow decomposition among neural structure subsets [Internet]. Frontiers in Neuroinformatics. 2014 ; 8 49.[citado 2024 abr. 19 ] Available from: https://doi.org/10.3389/fninf.2014.00049
Artigo de periodico
Canonical information flow decomposition among neural structure subsets (2014)
Takahashi, Daniel Yasumasa ; Sameshima, Koichi ; Baccalá, Luiz Antonio
Source: Frontiers in Neuroinformatics. Unidades: EP, FM, BIOINFORMÁTICA
Subjects: PROCESSAMENTO DE SINAIS, NEUROCIÊNCIAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TAKAHASHI, Daniel Yasumasa e SAMESHIMA, Koichi e BACCALÁ, Luiz Antonio. Canonical information flow decomposition among neural structure subsets. Frontiers in Neuroinformatics, v. 8, p. 1-11, 2014Tradução . . Disponível em: https://doi.org/10.3389/fninf.2014.00049. Acesso em: 19 abr. 2024.
APA
Takahashi, D. Y., Sameshima, K., & Baccalá, L. A. (2014). Canonical information flow decomposition among neural structure subsets. Frontiers in Neuroinformatics, 8, 1-11. doi:10.3389/fninf.2014.00049
NLM
Takahashi DY, Sameshima K, Baccalá LA. Canonical information flow decomposition among neural structure subsets [Internet]. Frontiers in Neuroinformatics. 2014 ; 8 1-11.[citado 2024 abr. 19 ] Available from: https://doi.org/10.3389/fninf.2014.00049
Vancouver
Takahashi DY, Sameshima K, Baccalá LA. Canonical information flow decomposition among neural structure subsets [Internet]. Frontiers in Neuroinformatics. 2014 ; 8 1-11.[citado 2024 abr. 19 ] Available from: https://doi.org/10.3389/fninf.2014.00049

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