Application of machine learning and complex network measures to an EEG dataset from ayahuasca experiments (2022)
- Authors:
- USP affiliated authors: RODRIGUES, FRANCISCO APARECIDO - ICMC ; CURY, RUBENS GISBERT - FM ; ALVES, CAROLINE LOURENÇO - ICMC ; ROSTER, KIRSTIN INGRID OLIVEIRA - ICMC ; PINEDA, ARUANE MELLO - ICMC
- Unidades: ICMC; FM
- DOI: 10.1371/journal.pone.0277257
- Subjects: REDES COMPLEXAS; APRENDIZADO COMPUTACIONAL; ELETROENCEFALOGRAFIA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: San Francisco
- Date published: 2022
- Source:
- Status:
- Artigo publicado em periódico de acesso aberto (Gold Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
ALVES, Caroline Lourenço et al. Application of machine learning and complex network measures to an EEG dataset from ayahuasca experiments. PLoS ONE, v. 17, n. 12, p. 1-26, 2022Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0277257. Acesso em: 01 abr. 2026. -
APA
Alves, C. L., Cury, R. G., Roster, K., Pineda, A. M., Rodrigues, F. A., Thielemann, C., & Ciba, M. (2022). Application of machine learning and complex network measures to an EEG dataset from ayahuasca experiments. PLoS ONE, 17( 12), 1-26. doi:10.1371/journal.pone.0277257 -
NLM
Alves CL, Cury RG, Roster K, Pineda AM, Rodrigues FA, Thielemann C, Ciba M. Application of machine learning and complex network measures to an EEG dataset from ayahuasca experiments [Internet]. PLoS ONE. 2022 ; 17( 12): 1-26.[citado 2026 abr. 01 ] Available from: https://doi.org/10.1371/journal.pone.0277257 -
Vancouver
Alves CL, Cury RG, Roster K, Pineda AM, Rodrigues FA, Thielemann C, Ciba M. Application of machine learning and complex network measures to an EEG dataset from ayahuasca experiments [Internet]. PLoS ONE. 2022 ; 17( 12): 1-26.[citado 2026 abr. 01 ] Available from: https://doi.org/10.1371/journal.pone.0277257 - EEG functional connectivity and deep learning for automatic diagnosis of brain disorders: Alzheimer's disease and schizophrenia
- Diagnosis of autism spectrum disorder based on functional brain networks and machine learning
- Analysis of quantile graphs in EGC data from elderly and young individuals using machine learning and deep learning
- Analysis of functional connectivity using machine learning and deep learning in different data modalities from individuals with schizophrenia
- Impact of the COVID-19 pandemic on dengue in Brazil: interrupted time series analysis of changes in surveillance and transmission
- Forecasting new diseases in low-data settings using transfer learning
- Machine-learning-based forecasting of dengue fever in Brazilian cities using epidemiologic and meteorological variables
- Complex networks to differentiate elderly and young people
- Machine learning-based prediction of Q-voter model in complex networks
- Revisiting the involvement of tau in complex neural network remodeling: analysis of the extracellular neuronal activity in organotypic brain slice co-cultures
Informações sobre a disponibilidade de versões do artigo em acesso aberto coletadas automaticamente via oaDOI API (Unpaywall).
Por se tratar de integração com serviço externo, podem existir diferentes versões do trabalho (como preprints ou postprints), que podem diferir da versão publicada.
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
| 3122363.pdf | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
