On the advances in machine learning and complex network measures to an EEG dataset from DMT experiments (2024)
- Authors:
- USP affiliated authors: RODRIGUES, FRANCISCO APARECIDO - ICMC ; ALVES, CAROLINE LOURENÇO - ICMC ; PORTO, JOEL AUGUSTO MOURA - IFSC
- Unidades: ICMC; IFSC
- DOI: 10.1088/2632-072X/ad1c68
- Subjects: VISÃO COMPUTACIONAL; APRENDIZADO COMPUTACIONAL; TOPOLOGIA EM COMPUTAÇÃO; REDES NEURAIS; TEORIA DOS GRAFOS; CÓRTEX CEREBRAL (ANÁLISE); CÉREBRO (ANÁLISE;ESTUDO)
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Journal of Physics: Complexity
- ISSN: 2632-072X
- Volume/Número/Paginação/Ano: v. 5, n. 1, p. 015002-1-015002-23, Jan. 2024
- 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
ALVES, Caroline Lourenço et al. On the advances in machine learning and complex network measures to an EEG dataset from DMT experiments. Journal of Physics: Complexity, v. 5, n. Ja 2024, p. 015002-1-015002-23, 2024Tradução . . Disponível em: https://doi.org/10.1088/2632-072X/ad1c68. Acesso em: 12 maio 2024. -
APA
Alves, C. L., Ciba, M., Toutain, T. G. L. de, Porto, J. A. M., Sena, E. P. de, Thielemann, C., & Rodrigues, F. (2024). On the advances in machine learning and complex network measures to an EEG dataset from DMT experiments. Journal of Physics: Complexity, 5( Ja 2024), 015002-1-015002-23. doi:10.1088/2632-072X/ad1c68 -
NLM
Alves CL, Ciba M, Toutain TGL de, Porto JAM, Sena EP de, Thielemann C, Rodrigues F. On the advances in machine learning and complex network measures to an EEG dataset from DMT experiments [Internet]. Journal of Physics: Complexity. 2024 ; 5( Ja 2024): 015002-1-015002-23.[citado 2024 maio 12 ] Available from: https://doi.org/10.1088/2632-072X/ad1c68 -
Vancouver
Alves CL, Ciba M, Toutain TGL de, Porto JAM, Sena EP de, Thielemann C, Rodrigues F. On the advances in machine learning and complex network measures to an EEG dataset from DMT experiments [Internet]. Journal of Physics: Complexity. 2024 ; 5( Ja 2024): 015002-1-015002-23.[citado 2024 maio 12 ] Available from: https://doi.org/10.1088/2632-072X/ad1c68 - Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia
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Informações sobre o DOI: 10.1088/2632-072X/ad1c68 (Fonte: oaDOI API)
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