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Artigo de periodico
A unified theory of E/I synaptic balance, quasicritical neuronal avalanches and asynchronous irregular spiking (2021)
Girardi-Schappo, Mauricio; Galera, Emílio Frari; Carvalho, Tawan T. A.; Brochini, Ludmila; Kamiji, Nilton Liuji ; Roque, Antônio Carlos ; Kinouchi, Osame
Source: Journal of Physics: Complexity. Unidade: FFCLRP
Subjects: NEURÔNIOS, SINCRONIZAÇÃO, DEPRESSÃO
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GIRARDI-SCHAPPO, Mauricio et al. A unified theory of E/I synaptic balance, quasicritical neuronal avalanches and asynchronous irregular spiking. Journal of Physics: Complexity, v. 2, 2021Tradução . . Disponível em: https://doi.org/10.1088/2632-072X/ac2792. Acesso em: 16 nov. 2024.
APA
Girardi-Schappo, M., Galera, E. F., Carvalho, T. T. A., Brochini, L., Kamiji, N. L., Roque, A. C., & Kinouchi, O. (2021). A unified theory of E/I synaptic balance, quasicritical neuronal avalanches and asynchronous irregular spiking. Journal of Physics: Complexity, 2. doi:10.1088/2632-072X/ac2792
NLM
Girardi-Schappo M, Galera EF, Carvalho TTA, Brochini L, Kamiji NL, Roque AC, Kinouchi O. A unified theory of E/I synaptic balance, quasicritical neuronal avalanches and asynchronous irregular spiking [Internet]. Journal of Physics: Complexity. 2021 ; 2[citado 2024 nov. 16 ] Available from: https://doi.org/10.1088/2632-072X/ac2792
Vancouver
Girardi-Schappo M, Galera EF, Carvalho TTA, Brochini L, Kamiji NL, Roque AC, Kinouchi O. A unified theory of E/I synaptic balance, quasicritical neuronal avalanches and asynchronous irregular spiking [Internet]. Journal of Physics: Complexity. 2021 ; 2[citado 2024 nov. 16 ] Available from: https://doi.org/10.1088/2632-072X/ac2792
Artigo de periodico
Binding of filamentous actin to CaMKII as potential regulation mechanism of bidirectional synaptic plasticity by β CaMKII in cerebellar purkinje cells (2020)
Pinto, Thiago M.; Schilstra, Maria J.; Roque, Antônio Carlos ; Steuber, Volker
Source: Scientific Reports. Unidade: FFCLRP
Subjects: ACTINAS, PROTEÍNAS, CÁLCIO, CÓRTEX CEREBRAL, DEPRESSÃO, RATOS, PLASTICIDADE NEURONAL
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PINTO, Thiago M. et al. Binding of filamentous actin to CaMKII as potential regulation mechanism of bidirectional synaptic plasticity by β CaMKII in cerebellar purkinje cells. Scientific Reports, v. 10, p. 1-16, 2020Tradução . . Disponível em: https://doi.org/10.1038/s41598-020-65870-9. Acesso em: 16 nov. 2024.
APA
Pinto, T. M., Schilstra, M. J., Roque, A. C., & Steuber, V. (2020). Binding of filamentous actin to CaMKII as potential regulation mechanism of bidirectional synaptic plasticity by β CaMKII in cerebellar purkinje cells. Scientific Reports, 10, 1-16. doi:10.1038/s41598-020-65870-9
NLM
Pinto TM, Schilstra MJ, Roque AC, Steuber V. Binding of filamentous actin to CaMKII as potential regulation mechanism of bidirectional synaptic plasticity by β CaMKII in cerebellar purkinje cells [Internet]. Scientific Reports. 2020 ; 10 1-16.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1038/s41598-020-65870-9
Vancouver
Pinto TM, Schilstra MJ, Roque AC, Steuber V. Binding of filamentous actin to CaMKII as potential regulation mechanism of bidirectional synaptic plasticity by β CaMKII in cerebellar purkinje cells [Internet]. Scientific Reports. 2020 ; 10 1-16.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1038/s41598-020-65870-9
Artigo de periodico
Firing properties of ventral medullary respiratory neurons in sino‐aortic denervated rats (2019)
Amorim, Mateus Ramos; Pena, Rodrigo Felipe de Oliveira ; Souza, George Miguel Perbone Robuste; Bonagamba, Leni Gomes Heck; Roque, Antônio Carlos ; Machado, Benedito Honório
Source: Experimental Physiology. Unidades: FMRP, FFCLRP, FORP
Subjects: SISTEMA NERVOSO AUTÔNOMO, BARORREFLEXO, RESPIRAÇÃO
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AMORIM, Mateus Ramos et al. Firing properties of ventral medullary respiratory neurons in sino‐aortic denervated rats. Experimental Physiology, v. 104, n. 1, p. 39-49, 2019Tradução . . Disponível em: https://doi.org/10.1113/ep087150. Acesso em: 16 nov. 2024.
APA
Amorim, M. R., Pena, R. F. de O., Souza, G. M. P. R., Bonagamba, L. G. H., Roque, A. C., & Machado, B. H. (2019). Firing properties of ventral medullary respiratory neurons in sino‐aortic denervated rats. Experimental Physiology, 104( 1), 39-49. doi:10.1113/ep087150
NLM
Amorim MR, Pena RF de O, Souza GMPR, Bonagamba LGH, Roque AC, Machado BH. Firing properties of ventral medullary respiratory neurons in sino‐aortic denervated rats [Internet]. Experimental Physiology. 2019 ; 104( 1): 39-49.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1113/ep087150
Vancouver
Amorim MR, Pena RF de O, Souza GMPR, Bonagamba LGH, Roque AC, Machado BH. Firing properties of ventral medullary respiratory neurons in sino‐aortic denervated rats [Internet]. Experimental Physiology. 2019 ; 104( 1): 39-49.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1113/ep087150
Trabalho de evento-resumo periodico
Acetylcholine modulation in a biophysical model f cortical neuron (2018)
Cordeiro, Vinicius ; Ghaderi, Parviz; Rostami, Sareh; Pena, Rodrigo Felipe de Oliveira ; Shimoura, Renan O. ; Roque, Antônio Carlos ; Safari, Mir Shahram
Source: BMC Neuroscience. Conference titles: Annual Computational Neuroscience Meeting - CNS. Unidade: FFCLRP
Subjects: ACETILCOLINA, BIOFÍSICA, NEURÔNIOS
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CORDEIRO, Vinicius et al. Acetylcholine modulation in a biophysical model f cortical neuron. BMC Neuroscience. London: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. . Acesso em: 16 nov. 2024. , 2018
APA
Cordeiro, V., Ghaderi, P., Rostami, S., Pena, R. F. de O., Shimoura, R. O., Roque, A. C., & Safari, M. S. (2018). Acetylcholine modulation in a biophysical model f cortical neuron. BMC Neuroscience. London: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo.
NLM
Cordeiro V, Ghaderi P, Rostami S, Pena RF de O, Shimoura RO, Roque AC, Safari MS. Acetylcholine modulation in a biophysical model f cortical neuron. BMC Neuroscience. 2018 ;( 64): 78-79.[citado 2024 nov. 16 ]
Vancouver
Cordeiro V, Ghaderi P, Rostami S, Pena RF de O, Shimoura RO, Roque AC, Safari MS. Acetylcholine modulation in a biophysical model f cortical neuron. BMC Neuroscience. 2018 ;( 64): 78-79.[citado 2024 nov. 16 ]
Artigo de periodico
Molecular mechanisms of detection and discrimination of dynamic signals (2018)
Antunes, Gabriela; Roque, Antônio Carlos ; Simoes-de-Souza, F. M.
Source: Scientific Reports. Unidade: FFCLRP
Subjects: MOLÉCULA, GEOMETRIA E MODELAGEM COMPUTACIONAL, REDES NEURAIS
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ANTUNES, Gabriela e ROQUE, Antônio Carlos e SIMOES-DE-SOUZA, F. M. Molecular mechanisms of detection and discrimination of dynamic signals. Scientific Reports, v. 8, 2018Tradução . . Disponível em: https://doi.org/10.1038/s41598-018-20842-y. Acesso em: 16 nov. 2024.
APA
Antunes, G., Roque, A. C., & Simoes-de-Souza, F. M. (2018). Molecular mechanisms of detection and discrimination of dynamic signals. Scientific Reports, 8. doi:10.1038/s41598-018-20842-y
NLM
Antunes G, Roque AC, Simoes-de-Souza FM. Molecular mechanisms of detection and discrimination of dynamic signals [Internet]. Scientific Reports. 2018 ; 8[citado 2024 nov. 16 ] Available from: https://doi.org/10.1038/s41598-018-20842-y
Vancouver
Antunes G, Roque AC, Simoes-de-Souza FM. Molecular mechanisms of detection and discrimination of dynamic signals [Internet]. Scientific Reports. 2018 ; 8[citado 2024 nov. 16 ] Available from: https://doi.org/10.1038/s41598-018-20842-y
Trabalho de evento-resumo periodico
On the subthreshold resonance properties of neurons (2018)
Pena, Rodrigo Felipe de Oliveira ; Cordeiro, Vinicius ; Ceballos, Cesar C.; Roque, Antônio Carlos
Source: BMC Neuroscience. Conference titles: Annual Computational Neuroscience Meeting - CNS. Unidade: FFCLRP
Subjects: NEUROCIÊNCIAS, REDES NEURAIS
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PENA, Rodrigo Felipe de Oliveira et al. On the subthreshold resonance properties of neurons. BMC Neuroscience. London: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. . Acesso em: 16 nov. 2024. , 2018
APA
Pena, R. F. de O., Cordeiro, V., Ceballos, C. C., & Roque, A. C. (2018). On the subthreshold resonance properties of neurons. BMC Neuroscience. London: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo.
NLM
Pena RF de O, Cordeiro V, Ceballos CC, Roque AC. On the subthreshold resonance properties of neurons. BMC Neuroscience. 2018 ;( 64): 22-23.[citado 2024 nov. 16 ]
Vancouver
Pena RF de O, Cordeiro V, Ceballos CC, Roque AC. On the subthreshold resonance properties of neurons. BMC Neuroscience. 2018 ;( 64): 22-23.[citado 2024 nov. 16 ]
Trabalho de evento-resumo periodico
Effects of spike frequency adaptation on dynamics of a multi-layered cortical network with heterogeneous neuron types (2018)
Shimoura, Renan O. ; Kamiji, Nilton Liuji ; Pena, Rodrigo Felipe de Oliveira ; Cordeiro, Vinicius ; Roque, Antônio Carlos
Source: BMC Neuroscience. Conference titles: Annual Computational Neuroscience Meeting - CNS. Unidade: FFCLRP
Subjects: NEURÔNIOS, CÓRTEX CEREBRAL
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ABNT
SHIMOURA, Renan O. et al. Effects of spike frequency adaptation on dynamics of a multi-layered cortical network with heterogeneous neuron types. BMC Neuroscience. London: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. . Acesso em: 16 nov. 2024. , 2018
APA
Shimoura, R. O., Kamiji, N. L., Pena, R. F. de O., Cordeiro, V., & Roque, A. C. (2018). Effects of spike frequency adaptation on dynamics of a multi-layered cortical network with heterogeneous neuron types. BMC Neuroscience. London: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo.
NLM
Shimoura RO, Kamiji NL, Pena RF de O, Cordeiro V, Roque AC. Effects of spike frequency adaptation on dynamics of a multi-layered cortical network with heterogeneous neuron types. BMC Neuroscience. 2018 ;( 64): 23-24.[citado 2024 nov. 16 ]
Vancouver
Shimoura RO, Kamiji NL, Pena RF de O, Cordeiro V, Roque AC. Effects of spike frequency adaptation on dynamics of a multi-layered cortical network with heterogeneous neuron types. BMC Neuroscience. 2018 ;( 64): 23-24.[citado 2024 nov. 16 ]
Artigo de periodico
Intrinsic and synaptic properties of hippocampal CA1 pyramidal neurons of the Wistar Audiogenic Rat (WAR) strain, a genetic model of epilepsy (2018)
Cunha, Alexandra Olimpio Siqueira ; Ceballos, Cesar Celis; Deus, Júnia Lara de ; Pena, Rodrigo Felipe de Oliveira ; Oliveira, José Antonio Cortes de; Roque, Antônio Carlos ; Garcia-Cairasco, Norberto ; Leão, Ricardo Maurício
Source: Scientific Reports. Unidades: FMRP, FFCLRP
Subjects: EPILEPSIA, RATOS, CÉLULAS
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CUNHA, Alexandra Olimpio Siqueira et al. Intrinsic and synaptic properties of hippocampal CA1 pyramidal neurons of the Wistar Audiogenic Rat (WAR) strain, a genetic model of epilepsy. Scientific Reports, v. 8, 2018Tradução . . Disponível em: https://doi.org/10.1038/s41598-018-28725-y. Acesso em: 16 nov. 2024.
APA
Cunha, A. O. S., Ceballos, C. C., Deus, J. L. de, Pena, R. F. de O., Oliveira, J. A. C. de, Roque, A. C., et al. (2018). Intrinsic and synaptic properties of hippocampal CA1 pyramidal neurons of the Wistar Audiogenic Rat (WAR) strain, a genetic model of epilepsy. Scientific Reports, 8. doi:10.1038/s41598-018-28725-y
NLM
Cunha AOS, Ceballos CC, Deus JL de, Pena RF de O, Oliveira JAC de, Roque AC, Garcia-Cairasco N, Leão RM. Intrinsic and synaptic properties of hippocampal CA1 pyramidal neurons of the Wistar Audiogenic Rat (WAR) strain, a genetic model of epilepsy [Internet]. Scientific Reports. 2018 ; 8[citado 2024 nov. 16 ] Available from: https://doi.org/10.1038/s41598-018-28725-y
Vancouver
Cunha AOS, Ceballos CC, Deus JL de, Pena RF de O, Oliveira JAC de, Roque AC, Garcia-Cairasco N, Leão RM. Intrinsic and synaptic properties of hippocampal CA1 pyramidal neurons of the Wistar Audiogenic Rat (WAR) strain, a genetic model of epilepsy [Internet]. Scientific Reports. 2018 ; 8[citado 2024 nov. 16 ] Available from: https://doi.org/10.1038/s41598-018-28725-y
Trabalho de evento-resumo periodico
Implementation of the Potjans-Diesmann cortical microcircuit model in NetPyNE/NEURON with rescaling option (2018)
Romaro, Cecilia ; Najman, Fernando; Dura-Bernal, Salvador; Roque, Antônio Carlos
Source: BMC Neuroscience. Conference titles: Annual Computational Neuroscience Meeting - CNS. Unidades: FFCLRP, BIOINFORMÁTICA
Subjects: NEURÔNIOS, REDES NEURAIS
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ROMARO, Cecilia et al. Implementation of the Potjans-Diesmann cortical microcircuit model in NetPyNE/NEURON with rescaling option. BMC Neuroscience. London: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. . Acesso em: 16 nov. 2024. , 2018
APA
Romaro, C., Najman, F., Dura-Bernal, S., & Roque, A. C. (2018). Implementation of the Potjans-Diesmann cortical microcircuit model in NetPyNE/NEURON with rescaling option. BMC Neuroscience. London: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo.
NLM
Romaro C, Najman F, Dura-Bernal S, Roque AC. Implementation of the Potjans-Diesmann cortical microcircuit model in NetPyNE/NEURON with rescaling option. BMC Neuroscience. 2018 ;( 64): 23.[citado 2024 nov. 16 ]
Vancouver
Romaro C, Najman F, Dura-Bernal S, Roque AC. Implementation of the Potjans-Diesmann cortical microcircuit model in NetPyNE/NEURON with rescaling option. BMC Neuroscience. 2018 ;( 64): 23.[citado 2024 nov. 16 ]
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: 16 nov. 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 nov. 16 ] 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 nov. 16 ] Available from: https://bmcneurosci.biomedcentral.com/track/pdf/10.1186/s12868-017-0371-2
Trabalho de evento-resumo periodico
Intrinsically stochastic neuron models for use in network simulations (2017)
Cordeiro, Vinícius Lima; Ceballos, Cesar Augusto Celis; Kamiji, Nilton Liuji; Roque, Antônio Carlos
Source: BMC Neuroscience. Conference titles: Annual Computational Neuroscience Meeting (CNS). Unidade: FFCLRP
Subjects: ESTATÍSTICA DE PROCESSOS ESTOCÁSTICOS, SIMULAÇÃO, NEUROCIÊNCIAS
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CORDEIRO, Vinícius Lima et al. Intrinsically stochastic neuron models for use in network simulations. BMC Neuroscience. London: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://link.springer.com/content/pdf/10.1186%2Fs12868-017-0372-1.pdf. Acesso em: 16 nov. 2024. , 2017
APA
Cordeiro, V. L., Ceballos, C. A. C., Kamiji, N. L., & Roque, A. C. (2017). Intrinsically stochastic neuron models for use in network simulations. BMC Neuroscience. London: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Recuperado de https://link.springer.com/content/pdf/10.1186%2Fs12868-017-0372-1.pdf
NLM
Cordeiro VL, Ceballos CAC, Kamiji NL, Roque AC. Intrinsically stochastic neuron models for use in network simulations [Internet]. BMC Neuroscience. 2017 ; 18 60.[citado 2024 nov. 16 ] Available from: https://link.springer.com/content/pdf/10.1186%2Fs12868-017-0372-1.pdf
Vancouver
Cordeiro VL, Ceballos CAC, Kamiji NL, Roque AC. Intrinsically stochastic neuron models for use in network simulations [Internet]. BMC Neuroscience. 2017 ; 18 60.[citado 2024 nov. 16 ] Available from: https://link.springer.com/content/pdf/10.1186%2Fs12868-017-0372-1.pdf
Trabalho de evento-resumo
Dynamical neuronal gains produce self-organized criticality in stochastic spiking neural networks (2016)
Brochini, Ludmila; Costa, Ariadne de Andrade; Abadi, Miguel Natalio ; Roque, Antônio Carlos; Stolfi, Jorge; Kinouchi, Osame
Source: Abstract. Conference titles: Palestra no Centre of Complexity Science - Imperial College London. Unidades: IME, FFCLRP
Subjects: PROCESSOS ESTOCÁSTICOS, REDES NEURAIS, NEUROCIÊNCIAS
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ABNT
BROCHINI, Ludmila et al. Dynamical neuronal gains produce self-organized criticality in stochastic spiking neural networks. 2016, Anais.. London: Imperial College London, 2016. Disponível em: https://doi.org/10.3389/conf.fninf.2016.20.00059. Acesso em: 16 nov. 2024.
APA
Brochini, L., Costa, A. de A., Abadi, M. N., Roque, A. C., Stolfi, J., & Kinouchi, O. (2016). Dynamical neuronal gains produce self-organized criticality in stochastic spiking neural networks. In Abstract. London: Imperial College London. doi:10.3389/conf.fninf.2016.20.00059
NLM
Brochini L, Costa A de A, Abadi MN, Roque AC, Stolfi J, Kinouchi O. Dynamical neuronal gains produce self-organized criticality in stochastic spiking neural networks [Internet]. Abstract. 2016 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.3389/conf.fninf.2016.20.00059
Vancouver
Brochini L, Costa A de A, Abadi MN, Roque AC, Stolfi J, Kinouchi O. Dynamical neuronal gains produce self-organized criticality in stochastic spiking neural networks [Internet]. Abstract. 2016 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.3389/conf.fninf.2016.20.00059
Artigo de periodico
Phase transitions and self-organized criticality in networks of stochastic spiking neurons (2016)
Brochini, Ludmila; Costa, Ariadne de Andrade; Abadi, Miguel Natalio ; Roque, Antônio Carlos; Stolfi, Jorge; Kinouchi, Osame
Source: Scientific Reports. Unidades: IME, FFCLRP
Subjects: NEUROCIÊNCIAS, COMPORTAMENTO ANIMAL, SINAPSE, CÉLULAS DENDRÍTICAS, ESTATÍSTICA DE PROCESSOS ESTOCÁSTICOS
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ABNT
BROCHINI, Ludmila et al. Phase transitions and self-organized criticality in networks of stochastic spiking neurons. Scientific Reports, v. 6, 2016Tradução . . Disponível em: https://doi.org/10.1038/srep35831. Acesso em: 16 nov. 2024.
APA
Brochini, L., Costa, A. de A., Abadi, M. N., Roque, A. C., Stolfi, J., & Kinouchi, O. (2016). Phase transitions and self-organized criticality in networks of stochastic spiking neurons. Scientific Reports, 6. doi:10.1038/srep35831
NLM
Brochini L, Costa A de A, Abadi MN, Roque AC, Stolfi J, Kinouchi O. Phase transitions and self-organized criticality in networks of stochastic spiking neurons [Internet]. Scientific Reports. 2016 ; 6[citado 2024 nov. 16 ] Available from: https://doi.org/10.1038/srep35831
Vancouver
Brochini L, Costa A de A, Abadi MN, Roque AC, Stolfi J, Kinouchi O. Phase transitions and self-organized criticality in networks of stochastic spiking neurons [Internet]. Scientific Reports. 2016 ; 6[citado 2024 nov. 16 ] Available from: https://doi.org/10.1038/srep35831
Trabalho de evento-resumo
A stochastic version of the Potjans-Diesmann cortical column model (2016)
Cordeiro, Vinicius L.; Shimoura, Renan O.; Kamiji, Nilton L.; Kinouchi, Osame; Silva Filho, Antônio Carlos Roque da
Source: Abstracts. Conference titles: Neuroinformatics 2016. Unidade: FFCLRP
Subjects: SISTEMA NERVOSO, PROBABILIDADE, INFORMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CORDEIRO, Vinicius L. et al. A stochastic version of the Potjans-Diesmann cortical column model. 2016, Anais.. Reading: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 2016. . Acesso em: 16 nov. 2024.
APA
Cordeiro, V. L., Shimoura, R. O., Kamiji, N. L., Kinouchi, O., & Silva Filho, A. C. R. da. (2016). A stochastic version of the Potjans-Diesmann cortical column model. In Abstracts. Reading: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo.
NLM
Cordeiro VL, Shimoura RO, Kamiji NL, Kinouchi O, Silva Filho ACR da. A stochastic version of the Potjans-Diesmann cortical column model. Abstracts. 2016 ;[citado 2024 nov. 16 ]
Vancouver
Cordeiro VL, Shimoura RO, Kamiji NL, Kinouchi O, Silva Filho ACR da. A stochastic version of the Potjans-Diesmann cortical column model. 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
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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
Dynamical neuronal gains produce self-organized criticality in stochastic spiking neural networks (2016)
Kinouchi, Osame; Costa, Ariadne D.; Brochini, Ludmila; Silva Filho, Antônio Carlos Roque da
Source: Abstracts. Conference titles: Neuroinformatics 2016. Unidade: FFCLRP
Subjects: SISTEMA NERVOSO, MATEMÁTICA, INFORMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
KINOUCHI, Osame et al. Dynamical neuronal gains produce self-organized criticality in stochastic spiking neural networks. 2016, Anais.. Reading: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 2016. . Acesso em: 16 nov. 2024.
APA
Kinouchi, O., Costa, A. D., Brochini, L., & Silva Filho, A. C. R. da. (2016). Dynamical neuronal gains produce self-organized criticality in stochastic spiking neural networks. In Abstracts. Reading: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo.
NLM
Kinouchi O, Costa AD, Brochini L, Silva Filho ACR da. Dynamical neuronal gains produce self-organized criticality in stochastic spiking neural networks. Abstracts. 2016 ;[citado 2024 nov. 16 ]
Vancouver
Kinouchi O, Costa AD, Brochini L, Silva Filho ACR da. Dynamical neuronal gains produce self-organized criticality in stochastic spiking neural networks. 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
Trabalho de evento-resumo periodico
Effect of synaptic plasticity on functional connectivity and global activity of a neocortical network model (2015)
Shimoura, Renan O.; Pena, Rodrigo F. O.; Roque, Antônio Carlos
Source: BMC Neuroscience. Conference titles: Annual Computational Neuroscience Meeting (CNS 2015). Unidade: FFCLRP
Subjects: REDES NEURAIS, VALIDAÇÃO DE MODELOS, PLASTICIDADE NEURONAL, SINAPSE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SHIMOURA, Renan O. e PENA, Rodrigo F. O. e ROQUE, Antônio Carlos. Effect of synaptic plasticity on functional connectivity and global activity of a neocortical network model. BMC Neuroscience. London: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1186/1471-2202-16-S1-P210. Acesso em: 16 nov. 2024. , 2015
APA
Shimoura, R. O., Pena, R. F. O., & Roque, A. C. (2015). Effect of synaptic plasticity on functional connectivity and global activity of a neocortical network model. BMC Neuroscience. London: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1186/1471-2202-16-S1-P210
NLM
Shimoura RO, Pena RFO, Roque AC. Effect of synaptic plasticity on functional connectivity and global activity of a neocortical network model [Internet]. BMC Neuroscience. 2015 ; 16[citado 2024 nov. 16 ] Available from: https://doi.org/10.1186/1471-2202-16-S1-P210
Vancouver
Shimoura RO, Pena RFO, Roque AC. Effect of synaptic plasticity on functional connectivity and global activity of a neocortical network model [Internet]. BMC Neuroscience. 2015 ; 16[citado 2024 nov. 16 ] Available from: https://doi.org/10.1186/1471-2202-16-S1-P210
Trabalho de evento-resumo periodico
A cortical multi-layered model and the properties of its internally-generated activity (2015)
Pena, Rodrigo F. O.; Shimoura, Renan O.; Roque, Antônio Carlos
Source: BMC Neuroscience. Conference titles: Annual Computational Neuroscience Meeting (CNS 2015). Unidade: FFCLRP
Subjects: CÓRTEX CEREBRAL, REDES NEURAIS, VALIDAÇÃO DE MODELOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PENA, Rodrigo F. O. e SHIMOURA, Renan O. e ROQUE, Antônio Carlos. A cortical multi-layered model and the properties of its internally-generated activity. BMC Neuroscience. London: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1186/1471-2202-16-S1-P209. Acesso em: 16 nov. 2024. , 2015
APA
Pena, R. F. O., Shimoura, R. O., & Roque, A. C. (2015). A cortical multi-layered model and the properties of its internally-generated activity. BMC Neuroscience. London: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1186/1471-2202-16-S1-P209
NLM
Pena RFO, Shimoura RO, Roque AC. A cortical multi-layered model and the properties of its internally-generated activity [Internet]. BMC Neuroscience. 2015 ; 16[citado 2024 nov. 16 ] Available from: https://doi.org/10.1186/1471-2202-16-S1-P209
Vancouver
Pena RFO, Shimoura RO, Roque AC. A cortical multi-layered model and the properties of its internally-generated activity [Internet]. BMC Neuroscience. 2015 ; 16[citado 2024 nov. 16 ] Available from: https://doi.org/10.1186/1471-2202-16-S1-P209
Trabalho de evento-resumo periodico
βCaMKII regulates bidirectional long-term plasticity in cerebellar Purkinje cells by a CaMKII/PP2B switch mechanism (2014)
Pinto, Thiago M.; Schilstra, Maria J.; Steuber, Volker; Roque, Antônio Carlos
Source: BMC Neuroscience. Conference titles: Annual Computational Neuroscience Meeting. Unidade: FFCLRP
Subjects: SINAPSE, BIOQUÍMICA CELULAR, PLASTICIDADE NEURONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PINTO, Thiago M. et al. βCaMKII regulates bidirectional long-term plasticity in cerebellar Purkinje cells by a CaMKII/PP2B switch mechanism. BMC Neuroscience. London: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1186/1471-2202-15-S1-P58. Acesso em: 16 nov. 2024. , 2014
APA
Pinto, T. M., Schilstra, M. J., Steuber, V., & Roque, A. C. (2014). βCaMKII regulates bidirectional long-term plasticity in cerebellar Purkinje cells by a CaMKII/PP2B switch mechanism. BMC Neuroscience. London: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1186/1471-2202-15-S1-P58
NLM
Pinto TM, Schilstra MJ, Steuber V, Roque AC. βCaMKII regulates bidirectional long-term plasticity in cerebellar Purkinje cells by a CaMKII/PP2B switch mechanism [Internet]. BMC Neuroscience. 2014 ; 15[citado 2024 nov. 16 ] Available from: https://doi.org/10.1186/1471-2202-15-S1-P58
Vancouver
Pinto TM, Schilstra MJ, Steuber V, Roque AC. βCaMKII regulates bidirectional long-term plasticity in cerebellar Purkinje cells by a CaMKII/PP2B switch mechanism [Internet]. BMC Neuroscience. 2014 ; 15[citado 2024 nov. 16 ] Available from: https://doi.org/10.1186/1471-2202-15-S1-P58

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