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Artigo de periodico
Application of machine learning and complex network measures to an EEG dataset from ayahuasca experiments (2022)
Alves, Caroline Lourenço ; Cury, Rubens Gisbert ; Roster, Kirstin ; Pineda, Aruane Mello ; Rodrigues, Francisco Aparecido ; Thielemann, Christiane ; Ciba, Manuel
Source: PLoS ONE. Unidades: ICMC, FM
Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, ELETROENCEFALOGRAFIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 14 nov. 2024.
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 2024 nov. 14 ] 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 2024 nov. 14 ] Available from: https://doi.org/10.1371/journal.pone.0277257
Artigo de periodico
Revisiting the involvement of tau in complex neural network remodeling: analysis of the extracellular neuronal activity in organotypic brain slice co-cultures (2022)
Bouillet, Thomas; Ciba, Manuel ; Alves, Caroline Lourenço; Rodrigues, Francisco Aparecido ; Thielemann, Christiane ; Colin, Morvane ; Buée, Luc ; Halliez, Sophie
Source: Journal of Neural Engineering. Unidade: ICMC
Subjects: HIPOCAMPO, REDE NERVOSA, EXCITAÇÃO (FISIOLOGIA), INIBIÇÃO, REDES COMPLEXAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BOUILLET, Thomas et al. Revisiting the involvement of tau in complex neural network remodeling: analysis of the extracellular neuronal activity in organotypic brain slice co-cultures. Journal of Neural Engineering, v. 19, n. 6, p. 1-20, 2022Tradução . . Disponível em: https://doi.org/10.1088/1741-2552/aca261. Acesso em: 14 nov. 2024.
APA
Bouillet, T., Ciba, M., Alves, C. L., Rodrigues, F. A., Thielemann, C., Colin, M., et al. (2022). Revisiting the involvement of tau in complex neural network remodeling: analysis of the extracellular neuronal activity in organotypic brain slice co-cultures. Journal of Neural Engineering, 19( 6), 1-20. doi:10.1088/1741-2552/aca261
NLM
Bouillet T, Ciba M, Alves CL, Rodrigues FA, Thielemann C, Colin M, Buée L, Halliez S. Revisiting the involvement of tau in complex neural network remodeling: analysis of the extracellular neuronal activity in organotypic brain slice co-cultures [Internet]. Journal of Neural Engineering. 2022 ; 19( 6): 1-20.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1088/1741-2552/aca261
Vancouver
Bouillet T, Ciba M, Alves CL, Rodrigues FA, Thielemann C, Colin M, Buée L, Halliez S. Revisiting the involvement of tau in complex neural network remodeling: analysis of the extracellular neuronal activity in organotypic brain slice co-cultures [Internet]. Journal of Neural Engineering. 2022 ; 19( 6): 1-20.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1088/1741-2552/aca261
Artigo de periodico
Comparison of different spike train synchrony measures regarding their robustness to erroneous data from bicuculline-induced epileptiform activity (2020)
Ciba, Manuel; Bestel, Robert; Nick, Cristoph; Arruda, Guilherme Ferraz de; Peron, Thomas ; Comin, Cesar Henrique; Costa, Luciano da Fontoura ; Rodrigues, Francisco Aparecido ; Thielemann, Christiane
Source: Neural Computation. Unidades: IFSC, ICMC
Subjects: CÉREBRO, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CIBA, Manuel et al. Comparison of different spike train synchrony measures regarding their robustness to erroneous data from bicuculline-induced epileptiform activity. Neural Computation, v. 32, n. 5, p. 887-911, 2020Tradução . . Disponível em: https://doi.org/10.1162/neco_a_01277. Acesso em: 14 nov. 2024.
APA
Ciba, M., Bestel, R., Nick, C., Arruda, G. F. de, Peron, T., Comin, C. H., et al. (2020). Comparison of different spike train synchrony measures regarding their robustness to erroneous data from bicuculline-induced epileptiform activity. Neural Computation, 32( 5), 887-911. doi:10.1162/neco_a_01277
NLM
Ciba M, Bestel R, Nick C, Arruda GF de, Peron T, Comin CH, Costa L da F, Rodrigues FA, Thielemann C. Comparison of different spike train synchrony measures regarding their robustness to erroneous data from bicuculline-induced epileptiform activity [Internet]. Neural Computation. 2020 ; 32( 5): 887-911.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1162/neco_a_01277
Vancouver
Ciba M, Bestel R, Nick C, Arruda GF de, Peron T, Comin CH, Costa L da F, Rodrigues FA, Thielemann C. Comparison of different spike train synchrony measures regarding their robustness to erroneous data from bicuculline-induced epileptiform activity [Internet]. Neural Computation. 2020 ; 32( 5): 887-911.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1162/neco_a_01277

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