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Artigo de periodico
Dynamical phenomena in complex networks: fundamentals and applications (2021)
Yanchuk, Serhiy; Roque, Antônio Carlos ; Macau, Elbert E. N.; Kurths, Jürgen
Source: The European Physical Journal Special Topics. Unidade: FFCLRP
Subjects: REDES COMPLEXAS, NEUROCIÊNCIAS, PROCESSOS ESTOCÁSTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
YANCHUK, Serhiy et al. Dynamical phenomena in complex networks: fundamentals and applications. The European Physical Journal Special Topics, v. 230, p. 2711-2716, 2021Tradução . . Disponível em: https://doi.org/10.1140/epjs/s11734-021-00282-y. Acesso em: 11 out. 2024.
APA
Yanchuk, S., Roque, A. C., Macau, E. E. N., & Kurths, J. (2021). Dynamical phenomena in complex networks: fundamentals and applications. The European Physical Journal Special Topics, 230, 2711-2716. doi:10.1140/epjs/s11734-021-00282-y
NLM
Yanchuk S, Roque AC, Macau EEN, Kurths J. Dynamical phenomena in complex networks: fundamentals and applications [Internet]. The European Physical Journal Special Topics. 2021 ; 230 2711-2716.[citado 2024 out. 11 ] Available from: https://doi.org/10.1140/epjs/s11734-021-00282-y
Vancouver
Yanchuk S, Roque AC, Macau EEN, Kurths J. Dynamical phenomena in complex networks: fundamentals and applications [Internet]. The European Physical Journal Special Topics. 2021 ; 230 2711-2716.[citado 2024 out. 11 ] Available from: https://doi.org/10.1140/epjs/s11734-021-00282-y
Trabalho de evento-resumo
Dynamics of spontaneous activity in networks of two-dimensional integrate-and-fire neurons (2019)
Roque, Antônio Carlos ; Zaks, Michael; Pena, Rodrigo Felipe de Oliveira
Source: Abstracts. Conference titles: Conference on Applications of Dynamical Systems. Unidade: FFCLRP
Subjects: SINAPSE, NEURÔNIOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROQUE, Antônio Carlos e ZAKS, Michael e PENA, Rodrigo Felipe de Oliveira. Dynamics of spontaneous activity in networks of two-dimensional integrate-and-fire neurons. 2019, Anais.. Snowbird: SIAM, 2019. Disponível em: https://www.siam.org/Portals/0/Conferences/DS/2019/DS19_Program_AND_Abstracts.pdf?ver=2019-05-17-144328-567. Acesso em: 11 out. 2024.
APA
Roque, A. C., Zaks, M., & Pena, R. F. de O. (2019). Dynamics of spontaneous activity in networks of two-dimensional integrate-and-fire neurons. In Abstracts. Snowbird: SIAM. Recuperado de https://www.siam.org/Portals/0/Conferences/DS/2019/DS19_Program_AND_Abstracts.pdf?ver=2019-05-17-144328-567
NLM
Roque AC, Zaks M, Pena RF de O. Dynamics of spontaneous activity in networks of two-dimensional integrate-and-fire neurons [Internet]. Abstracts. 2019 ;[citado 2024 out. 11 ] Available from: https://www.siam.org/Portals/0/Conferences/DS/2019/DS19_Program_AND_Abstracts.pdf?ver=2019-05-17-144328-567
Vancouver
Roque AC, Zaks M, Pena RF de O. Dynamics of spontaneous activity in networks of two-dimensional integrate-and-fire neurons [Internet]. Abstracts. 2019 ;[citado 2024 out. 11 ] Available from: https://www.siam.org/Portals/0/Conferences/DS/2019/DS19_Program_AND_Abstracts.pdf?ver=2019-05-17-144328-567
Artigo de periodico
Self-consistent scheme for spike-train power spectra in heterogeneous sparse networks (2018)
Pena, Rodrigo Felipe de Oliveira; Vellmer, Sebastian; Bernardi, Davide; Roque, Antônio Carlos; Lindner, Benjamin
Source: Frontiers in Computational Neuroscience. Unidade: FFCLRP
Subjects: REDES COMPLEXAS, REDE NERVOSA, REDES NEURAIS, MODELOS PARA PROCESSOS ESTOCÁSTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PENA, Rodrigo Felipe de Oliveira et al. Self-consistent scheme for spike-train power spectra in heterogeneous sparse networks. Frontiers in Computational Neuroscience, v. 12, 2018Tradução . . Disponível em: https://doi.org/10.3389/fncom.2018.00009. Acesso em: 11 out. 2024.
APA
Pena, R. F. de O., Vellmer, S., Bernardi, D., Roque, A. C., & Lindner, B. (2018). Self-consistent scheme for spike-train power spectra in heterogeneous sparse networks. Frontiers in Computational Neuroscience, 12. doi:10.3389/fncom.2018.00009
NLM
Pena RF de O, Vellmer S, Bernardi D, Roque AC, Lindner B. Self-consistent scheme for spike-train power spectra in heterogeneous sparse networks [Internet]. Frontiers in Computational Neuroscience. 2018 ; 12[citado 2024 out. 11 ] Available from: https://doi.org/10.3389/fncom.2018.00009
Vancouver
Pena RF de O, Vellmer S, Bernardi D, Roque AC, Lindner B. Self-consistent scheme for spike-train power spectra in heterogeneous sparse networks [Internet]. Frontiers in Computational Neuroscience. 2018 ; 12[citado 2024 out. 11 ] Available from: https://doi.org/10.3389/fncom.2018.00009
Artigo de periodico
Dynamics of spontaneous activity in random networks with multiple neuron subtypes and synaptic noise (2018)
Pena, Rodrigo F. O.; Zaks, Michael A.; Roque, Antônio Carlos
Source: Journal of Computational Neuroscience. Unidade: FFCLRP
Subjects: NEUROLOGIA, SINAPSE, NEURÔNIOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PENA, Rodrigo F. O. e ZAKS, Michael A. e ROQUE, Antônio Carlos. Dynamics of spontaneous activity in random networks with multiple neuron subtypes and synaptic noise. Journal of Computational Neuroscience, v. 45, n. 1, p. 1-28, 2018Tradução . . Disponível em: https://doi.org/10.1007/s10827-018-0688-6. Acesso em: 11 out. 2024.
APA
Pena, R. F. O., Zaks, M. A., & Roque, A. C. (2018). Dynamics of spontaneous activity in random networks with multiple neuron subtypes and synaptic noise. Journal of Computational Neuroscience, 45( 1), 1-28. doi:10.1007/s10827-018-0688-6
NLM
Pena RFO, Zaks MA, Roque AC. Dynamics of spontaneous activity in random networks with multiple neuron subtypes and synaptic noise [Internet]. Journal of Computational Neuroscience. 2018 ; 45( 1): 1-28.[citado 2024 out. 11 ] Available from: https://doi.org/10.1007/s10827-018-0688-6
Vancouver
Pena RFO, Zaks MA, Roque AC. Dynamics of spontaneous activity in random networks with multiple neuron subtypes and synaptic noise [Internet]. Journal of Computational Neuroscience. 2018 ; 45( 1): 1-28.[citado 2024 out. 11 ] Available from: https://doi.org/10.1007/s10827-018-0688-6
Trabalho de evento-resumo periodico
Determination of the spike‑train power spectrum statistics in modular networks with mixtures of diferent excitatory and inhibitory populations (2017)
Pena, Rodrigo Felipe de Oliveira; Bernardi, Davide; Roque, Antônio Carlos; Lindner, Benjamin
Source: BMC Neuroscience. Conference titles: Annual Computational Neuroscience Meeting (CNS). Unidade: FFCLRP
Subjects: REDES NEURAIS, NEUROCIÊNCIAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PENA, Rodrigo Felipe de Oliveira et al. Determination of the spike‑train power spectrum statistics in modular networks with mixtures of diferent excitatory and inhibitory populations. BMC Neuroscience. London: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://bmcneurosci.biomedcentral.com/track/pdf/10.1186/s12868-017-0371-2. Acesso em: 11 out. 2024. , 2017
APA
Pena, R. F. de O., Bernardi, D., Roque, A. C., & Lindner, B. (2017). Determination of the spike‑train power spectrum statistics in modular networks with mixtures of diferent excitatory and inhibitory populations. BMC Neuroscience. London: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Recuperado de https://bmcneurosci.biomedcentral.com/track/pdf/10.1186/s12868-017-0371-2
NLM
Pena RF de O, Bernardi D, Roque AC, Lindner B. Determination of the spike‑train power spectrum statistics in modular networks with mixtures of diferent excitatory and inhibitory populations [Internet]. BMC Neuroscience. 2017 ; 18 59.[citado 2024 out. 11 ] Available from: https://bmcneurosci.biomedcentral.com/track/pdf/10.1186/s12868-017-0371-2
Vancouver
Pena RF de O, Bernardi D, Roque AC, Lindner B. Determination of the spike‑train power spectrum statistics in modular networks with mixtures of diferent excitatory and inhibitory populations [Internet]. BMC Neuroscience. 2017 ; 18 59.[citado 2024 out. 11 ] Available from: https://bmcneurosci.biomedcentral.com/track/pdf/10.1186/s12868-017-0371-2
Artigo de periodico
Mechanisms of self-sustained oscillatory states in hierarchical modular networks with mixtures of electrophysiological cell types (2016)
Tomov, Petar; Pena, Rodrigo F. O.; Roque, Antônio Carlos; Zaks, Michael A.
Source: Frontiers in Computational Neuroscience. Unidade: FFCLRP
Subjects: NEUROCIÊNCIAS, CIÊNCIA DA COMPUTAÇÃO, ELETROFISIOLOGIA, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TOMOV, Petar et al. Mechanisms of self-sustained oscillatory states in hierarchical modular networks with mixtures of electrophysiological cell types. Frontiers in Computational Neuroscience, 2016Tradução . . Disponível em: https://doi.org/10.3389/fncom.2016.00023. Acesso em: 11 out. 2024.
APA
Tomov, P., Pena, R. F. O., Roque, A. C., & Zaks, M. A. (2016). Mechanisms of self-sustained oscillatory states in hierarchical modular networks with mixtures of electrophysiological cell types. Frontiers in Computational Neuroscience. doi:10.3389/fncom.2016.00023
NLM
Tomov P, Pena RFO, Roque AC, Zaks MA. Mechanisms of self-sustained oscillatory states in hierarchical modular networks with mixtures of electrophysiological cell types [Internet]. Frontiers in Computational Neuroscience. 2016 ;[citado 2024 out. 11 ] Available from: https://doi.org/10.3389/fncom.2016.00023
Vancouver
Tomov P, Pena RFO, Roque AC, Zaks MA. Mechanisms of self-sustained oscillatory states in hierarchical modular networks with mixtures of electrophysiological cell types [Internet]. Frontiers in Computational Neuroscience. 2016 ;[citado 2024 out. 11 ] Available from: https://doi.org/10.3389/fncom.2016.00023
Trabalho de evento-resumo
Self-sustained activity lifetime in a cortical network model (2015)
Pena, Rodrigo Felipe de Oliveira; Tomov, Petar; Zaks, Michael; Roque, Antônio Carlos
Source: Abstracts. Conference titles: World Congress of the International Brain Research Organization. Unidade: FFCLRP
Subjects: CÓRTEX CEREBRAL, REDES NEURAIS, VALIDAÇÃO DE MODELOS, SINAPSE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PENA, Rodrigo Felipe de Oliveira et al. Self-sustained activity lifetime in a cortical network model. 2015, Anais.. Rio de Janeiro: IBRO, 2015. . Acesso em: 11 out. 2024.
APA
Pena, R. F. de O., Tomov, P., Zaks, M., & Roque, A. C. (2015). Self-sustained activity lifetime in a cortical network model. In Abstracts. Rio de Janeiro: IBRO.
NLM
Pena RF de O, Tomov P, Zaks M, Roque AC. Self-sustained activity lifetime in a cortical network model. Abstracts. 2015 ;[citado 2024 out. 11 ]
Vancouver
Pena RF de O, Tomov P, Zaks M, Roque AC. Self-sustained activity lifetime in a cortical network model. Abstracts. 2015 ;[citado 2024 out. 11 ]

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