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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: 16 nov. 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 nov. 16 ] 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 nov. 16 ] Available from: https://doi.org/10.3389/fncom.2018.00009
Trabalho de evento-resumo
Simulation studies on a new stochastic model to neural systems (2016)
Roque, Antônio Carlos
Source: Abstracts. Conference titles: Neuromat Workshop on High-Performance Computing, Stochastic Modeling and Databases in Neuroscience. Unidade: FFCLRP
Subjects: NEUROCIÊNCIAS, SINAPSE, MODELOS PARA PROCESSOS ESTOCÁSTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROQUE, Antônio Carlos. Simulation studies on a new stochastic model to neural systems. 2016, Anais.. São Paulo: USP, 2016. . Acesso em: 16 nov. 2024.
APA
Roque, A. C. (2016). Simulation studies on a new stochastic model to neural systems. In Abstracts. São Paulo: USP.
NLM
Roque AC. Simulation studies on a new stochastic model to neural systems. Abstracts. 2016 ;[citado 2024 nov. 16 ]
Vancouver
Roque AC. Simulation studies on a new stochastic model to neural systems. Abstracts. 2016 ;[citado 2024 nov. 16 ]
Artigo de periodico
Modelling intracellular competition for calcium: kinetic and thermodynamic control of different molecular modes of signal decoding (2016)
Antunes, Gabriela; Roque, Antônio Carlos; Souza, Fábio Marques Simões de
Source: Scientific Reports. Unidade: FFCLRP
Subjects: NEUROCIÊNCIAS, CIÊNCIA DA COMPUTAÇÃO, MODELOS PARA PROCESSOS ESTOCÁSTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANTUNES, Gabriela e ROQUE, Antônio Carlos e SOUZA, Fábio Marques Simões de. Modelling intracellular competition for calcium: kinetic and thermodynamic control of different molecular modes of signal decoding. Scientific Reports, v. 6, 2016Tradução . . Disponível em: https://doi.org/10.1038/srep23730. Acesso em: 16 nov. 2024.
APA
Antunes, G., Roque, A. C., & Souza, F. M. S. de. (2016). Modelling intracellular competition for calcium: kinetic and thermodynamic control of different molecular modes of signal decoding. Scientific Reports, 6. doi:10.1038/srep23730
NLM
Antunes G, Roque AC, Souza FMS de. Modelling intracellular competition for calcium: kinetic and thermodynamic control of different molecular modes of signal decoding [Internet]. Scientific Reports. 2016 ; 6[citado 2024 nov. 16 ] Available from: https://doi.org/10.1038/srep23730
Vancouver
Antunes G, Roque AC, Souza FMS de. Modelling intracellular competition for calcium: kinetic and thermodynamic control of different molecular modes of signal decoding [Internet]. Scientific Reports. 2016 ; 6[citado 2024 nov. 16 ] Available from: https://doi.org/10.1038/srep23730
Trabalho de evento-resumo
Perspective on applications of a stochastic spiking neuron model to neural network modeling (2016)
Roque, Antônio Carlos; Brochini, Ludmila; Costa, Ariadne; Cordeiro, Vinícius; Shimoura, Renan; Abadi, Miguel Natalio ; Kinouchi, Osame; Stolfi, Jorge
Source: Abstracts. Conference titles: Neuromat Workshop on High-Performance Computing, Stochastic Modeling and Databases in Neuroscience. Unidades: FFCLRP, IME
Subjects: NEUROCIÊNCIAS, SINAPSE, MODELOS PARA PROCESSOS ESTOCÁSTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROQUE, Antônio Carlos et al. Perspective on applications of a stochastic spiking neuron model to neural network modeling. 2016, Anais.. São Paulo: USP, 2016. Disponível em: https://pt.slideshare.net/neuromathematics?utm_campaign=profiletracking&utm_medium=sssite&utm_source=ssslideview. Acesso em: 16 nov. 2024.
APA
Roque, A. C., Brochini, L., Costa, A., Cordeiro, V., Shimoura, R., Abadi, M. N., et al. (2016). Perspective on applications of a stochastic spiking neuron model to neural network modeling. In Abstracts. São Paulo: USP. Recuperado de https://pt.slideshare.net/neuromathematics?utm_campaign=profiletracking&utm_medium=sssite&utm_source=ssslideview
NLM
Roque AC, Brochini L, Costa A, Cordeiro V, Shimoura R, Abadi MN, Kinouchi O, Stolfi J. Perspective on applications of a stochastic spiking neuron model to neural network modeling [Internet]. Abstracts. 2016 ;[citado 2024 nov. 16 ] Available from: https://pt.slideshare.net/neuromathematics?utm_campaign=profiletracking&utm_medium=sssite&utm_source=ssslideview
Vancouver
Roque AC, Brochini L, Costa A, Cordeiro V, Shimoura R, Abadi MN, Kinouchi O, Stolfi J. Perspective on applications of a stochastic spiking neuron model to neural network modeling [Internet]. Abstracts. 2016 ;[citado 2024 nov. 16 ] Available from: https://pt.slideshare.net/neuromathematics?utm_campaign=profiletracking&utm_medium=sssite&utm_source=ssslideview
Trabalho de evento-resumo
Applications of a stochastic spiking neuron model to neural network modeling (2016)
Roque, Antônio Carlos; Brochini, Ludmila; Costa, Ariadne; Cordeiro, Vinícius; Shimoura, Renan; Kamiji, Nilton; Kinouchi, Osame; Stolfi, Jorge; Brasil
Source: Abstracts. Conference titles: Neuromat Workshop on High-Performance Computing, Stochastic Modeling and Databases in Neuroscience. Unidade: FFCLRP
Subjects: NEUROCIÊNCIAS, REDES NEURAIS, MODELOS PARA PROCESSOS ESTOCÁSTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROQUE, Antônio Carlos et al. Applications of a stochastic spiking neuron model to neural network modeling. 2016, Anais.. São Paulo: USP, 2016. . Acesso em: 16 nov. 2024.
APA
Roque, A. C., Brochini, L., Costa, A., Cordeiro, V., Shimoura, R., Kamiji, N., et al. (2016). Applications of a stochastic spiking neuron model to neural network modeling. In Abstracts. São Paulo: USP.
NLM
Roque AC, Brochini L, Costa A, Cordeiro V, Shimoura R, Kamiji N, Kinouchi O, Stolfi J, Brasil. Applications of a stochastic spiking neuron model to neural network modeling. Abstracts. 2016 ;[citado 2024 nov. 16 ]
Vancouver
Roque AC, Brochini L, Costa A, Cordeiro V, Shimoura R, Kamiji N, Kinouchi O, Stolfi J, Brasil. Applications of a stochastic spiking neuron model to neural network modeling. Abstracts. 2016 ;[citado 2024 nov. 16 ]
Artigo de periodico
Stochastic induction of long-term potentiation and long-term depression (2016)
Antunes, Gabriela; Roque, Antônio Carlos; Simões de Souza, F. M.
Source: Scientific Reports. Unidade: FFCLRP
Subjects: SINAPSE, PLASTICIDADE NEURONAL, MODELOS PARA PROCESSOS ESTOCÁSTICOS, CÁLCIO, MEMÓRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANTUNES, Gabriela e ROQUE, Antônio Carlos e SIMÕES DE SOUZA, F. M. Stochastic induction of long-term potentiation and long-term depression. Scientific Reports, v. 6, 2016Tradução . . Disponível em: https://doi.org/10.1038/srep30899. Acesso em: 16 nov. 2024.
APA
Antunes, G., Roque, A. C., & Simões de Souza, F. M. (2016). Stochastic induction of long-term potentiation and long-term depression. Scientific Reports, 6. doi:10.1038/srep30899
NLM
Antunes G, Roque AC, Simões de Souza FM. Stochastic induction of long-term potentiation and long-term depression [Internet]. Scientific Reports. 2016 ; 6[citado 2024 nov. 16 ] Available from: https://doi.org/10.1038/srep30899
Vancouver
Antunes G, Roque AC, Simões de Souza FM. Stochastic induction of long-term potentiation and long-term depression [Internet]. Scientific Reports. 2016 ; 6[citado 2024 nov. 16 ] Available from: https://doi.org/10.1038/srep30899

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