Data-driven network dynamical model of rat brains during acute ictogenesis (2022)
- Authors:
- USP affiliated authors: MACIEL, CARLOS DIAS - EESC ; TSUKAHARA, VICTOR HUGO BATISTA - EESC ; OLIVEIRA JÚNIOR, JORDÃO NATAL DE - EESC ; BARTH, VITOR BRUNO DE OLIVEIRA - EESC
- Unidade: EESC
- DOI: 10.3389/fncir.2022.747910
- Subjects: EPILEPSIA; INFERÊNCIA BAYESIANA; ENGENHARIA ELÉTRICA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Lausanne, Switzerland
- Date published: 2022
- Source:
- Título: Frontiers in Neural Circuits
- ISSN: 1662-5110
- Volume/Número/Paginação/Ano: v. 16, art. 747910, p. 1-13, 2022
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
TSUKAHARA, Victor Hugo Batista et al. Data-driven network dynamical model of rat brains during acute ictogenesis. Frontiers in Neural Circuits, v. 16, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.3389/fncir.2022.747910. Acesso em: 28 dez. 2025. -
APA
Tsukahara, V. H. B., Oliveira Júnior, J. N. de, Barth, V. B. de O., Oliveira, J. C. de, Cota, V. R., & Maciel, C. D. (2022). Data-driven network dynamical model of rat brains during acute ictogenesis. Frontiers in Neural Circuits, 16, 1-13. doi:10.3389/fncir.2022.747910 -
NLM
Tsukahara VHB, Oliveira Júnior JN de, Barth VB de O, Oliveira JC de, Cota VR, Maciel CD. Data-driven network dynamical model of rat brains during acute ictogenesis [Internet]. Frontiers in Neural Circuits. 2022 ; 16 1-13.[citado 2025 dez. 28 ] Available from: https://doi.org/10.3389/fncir.2022.747910 -
Vancouver
Tsukahara VHB, Oliveira Júnior JN de, Barth VB de O, Oliveira JC de, Cota VR, Maciel CD. Data-driven network dynamical model of rat brains during acute ictogenesis [Internet]. Frontiers in Neural Circuits. 2022 ; 16 1-13.[citado 2025 dez. 28 ] Available from: https://doi.org/10.3389/fncir.2022.747910 - Assessing credibility in Bayesian networks structure learning
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Informações sobre o DOI: 10.3389/fncir.2022.747910 (Fonte: oaDOI API)
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