Determination of the spike‑train power spectrum statistics in modular networks with mixtures of diferent excitatory and inhibitory populations (2017)
- Authors:
- Autor USP: SILVA FILHO, ANTONIO CARLOS ROQUE DA - FFCLRP
- Unidade: FFCLRP
- Subjects: REDES NEURAIS; NEUROCIÊNCIAS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: BMC Neuroscience
- Volume/Número/Paginação/Ano: v. 18, suppl. 1, p. 59, res. P149, 2017
- Conference titles: Annual Computational Neuroscience Meeting (CNS)
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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: 31 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. 31 ] 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. 31 ] Available from: https://bmcneurosci.biomedcentral.com/track/pdf/10.1186/s12868-017-0371-2 - Modelos matemáticos em neurociência: de neurônios individuais a redes neuronais
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