ReP USP - Resultado da busca

Artigo de periodico
Applications of graph theory to the analysis of fNIRS data in hyperscanning paradigms (2022)
Oku, Amanda Yumi Ambriola ; Barreto, Candida ; Bruneri, Guilherme; Brockington, Guilherme ; Fujita, André ; Sato, João Ricardo
Fonte: Frontiers in Computational Neuroscience. Unidade: IME
Assuntos: TEORIA DOS GRAFOS, NEUROCIÊNCIAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OKU, Amanda Yumi Ambriola et al. Applications of graph theory to the analysis of fNIRS data in hyperscanning paradigms. Frontiers in Computational Neuroscience, v. 16, 2022Tradução . . Disponível em: https://doi.org/10.3389/fncom.2022.975743. Acesso em: 06 nov. 2025.
APA
Oku, A. Y. A., Barreto, C., Bruneri, G., Brockington, G., Fujita, A., & Sato, J. R. (2022). Applications of graph theory to the analysis of fNIRS data in hyperscanning paradigms. Frontiers in Computational Neuroscience, 16. doi:10.3389/fncom.2022.975743
NLM
Oku AYA, Barreto C, Bruneri G, Brockington G, Fujita A, Sato JR. Applications of graph theory to the analysis of fNIRS data in hyperscanning paradigms [Internet]. Frontiers in Computational Neuroscience. 2022 ; 16[citado 2025 nov. 06 ] Available from: https://doi.org/10.3389/fncom.2022.975743
Vancouver
Oku AYA, Barreto C, Bruneri G, Brockington G, Fujita A, Sato JR. Applications of graph theory to the analysis of fNIRS data in hyperscanning paradigms [Internet]. Frontiers in Computational Neuroscience. 2022 ; 16[citado 2025 nov. 06 ] Available from: https://doi.org/10.3389/fncom.2022.975743
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
Fonte: Frontiers in Computational Neuroscience. Unidade: FFCLRP
Assuntos: 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: 06 nov. 2025.
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 2025 nov. 06 ] 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 2025 nov. 06 ] Available from: https://doi.org/10.3389/fncom.2018.00009
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.
Fonte: Frontiers in Computational Neuroscience. Unidade: FFCLRP
Assuntos: 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: 06 nov. 2025.
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 2025 nov. 06 ] 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 2025 nov. 06 ] Available from: https://doi.org/10.3389/fncom.2016.00023
Artigo de periodico
Electrical responses of three classes of granule cells of the olfactory bulb to synaptic inputs in different dendritic locations (2014)
Simões-de-Souza, Fábio M.; Antunes, Gabriela; Roque, Antônio Carlos
Fonte: Frontiers in Computational Neuroscience. Unidade: FFCLRP
Assuntos: FÍSICA COMPUTACIONAL (MODELOS), OLFATO, SINAPSE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SIMÕES-DE-SOUZA, Fábio M. e ANTUNES, Gabriela e ROQUE, Antônio Carlos. Electrical responses of three classes of granule cells of the olfactory bulb to synaptic inputs in different dendritic locations. Frontiers in Computational Neuroscience, v. 8, 2014Tradução . . Disponível em: https://doi.org/10.3389/fncom.2014.00128. Acesso em: 06 nov. 2025.
APA
Simões-de-Souza, F. M., Antunes, G., & Roque, A. C. (2014). Electrical responses of three classes of granule cells of the olfactory bulb to synaptic inputs in different dendritic locations. Frontiers in Computational Neuroscience, 8. doi:10.3389/fncom.2014.00128
NLM
Simões-de-Souza FM, Antunes G, Roque AC. Electrical responses of three classes of granule cells of the olfactory bulb to synaptic inputs in different dendritic locations [Internet]. Frontiers in Computational Neuroscience. 2014 ; 8[citado 2025 nov. 06 ] Available from: https://doi.org/10.3389/fncom.2014.00128
Vancouver
Simões-de-Souza FM, Antunes G, Roque AC. Electrical responses of three classes of granule cells of the olfactory bulb to synaptic inputs in different dendritic locations [Internet]. Frontiers in Computational Neuroscience. 2014 ; 8[citado 2025 nov. 06 ] Available from: https://doi.org/10.3389/fncom.2014.00128
Artigo de periodico
Sustained oscillations, irregular firing, and chaotic dynamics in hierarchical modular networks with mixtures of electrophysiological cell types (2014)
Tomov, Petar; Pena, Rodrigo F. O.; Zaks, Michael A.; Roque, Antônio Carlos
Fonte: Frontiers in Computational Neuroscience. Unidade: FFCLRP
Assuntos: ELETROFISIOLOGIA, CÓRTEX CEREBRAL, FÍSICA COMPUTACIONAL (MODELOS)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TOMOV, Petar et al. Sustained oscillations, irregular firing, and chaotic dynamics in hierarchical modular networks with mixtures of electrophysiological cell types. Frontiers in Computational Neuroscience, v. 8, 2014Tradução . . Disponível em: https://doi.org/10.3389/fncom.2014.00103. Acesso em: 06 nov. 2025.
APA
Tomov, P., Pena, R. F. O., Zaks, M. A., & Roque, A. C. (2014). Sustained oscillations, irregular firing, and chaotic dynamics in hierarchical modular networks with mixtures of electrophysiological cell types. Frontiers in Computational Neuroscience, 8. doi:10.3389/fncom.2014.00103
NLM
Tomov P, Pena RFO, Zaks MA, Roque AC. Sustained oscillations, irregular firing, and chaotic dynamics in hierarchical modular networks with mixtures of electrophysiological cell types [Internet]. Frontiers in Computational Neuroscience. 2014 ; 8[citado 2025 nov. 06 ] Available from: https://doi.org/10.3389/fncom.2014.00103
Vancouver
Tomov P, Pena RFO, Zaks MA, Roque AC. Sustained oscillations, irregular firing, and chaotic dynamics in hierarchical modular networks with mixtures of electrophysiological cell types [Internet]. Frontiers in Computational Neuroscience. 2014 ; 8[citado 2025 nov. 06 ] Available from: https://doi.org/10.3389/fncom.2014.00103
Artigo de periodico
Communication structure of cortical networks (2011)
Costa, Luciano da Fontoura ; Batista, João Luiz B.; Ascoli, Giorgio A.
Fonte: Frontiers in Computational Neuroscience. Unidade: IFSC
Assuntos: REDES COMPLEXAS, CÓRTEX CEREBRAL, CADEIAS DE MARKOV, SISTEMA DE COMUNICAÇÃO (MODELOS)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COSTA, Luciano da Fontoura e BATISTA, João Luiz B. e ASCOLI, Giorgio A. Communication structure of cortical networks. Frontiers in Computational Neuroscience, v. 5, p. 6-1-6-15, 2011Tradução . . Disponível em: https://doi.org/10.3389/fncom.2011.00006. Acesso em: 06 nov. 2025.
APA
Costa, L. da F., Batista, J. L. B., & Ascoli, G. A. (2011). Communication structure of cortical networks. Frontiers in Computational Neuroscience, 5, 6-1-6-15. doi:10.3389/fncom.2011.00006
NLM
Costa L da F, Batista JLB, Ascoli GA. Communication structure of cortical networks [Internet]. Frontiers in Computational Neuroscience. 2011 ; 5 6-1-6-15.[citado 2025 nov. 06 ] Available from: https://doi.org/10.3389/fncom.2011.00006
Vancouver
Costa L da F, Batista JLB, Ascoli GA. Communication structure of cortical networks [Internet]. Frontiers in Computational Neuroscience. 2011 ; 5 6-1-6-15.[citado 2025 nov. 06 ] Available from: https://doi.org/10.3389/fncom.2011.00006

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