Sustained oscillations, irregular firing, and chaotic dynamics in hierarchical modular networks with mixtures of electrophysiological cell types (2014)
- Authors:
- Autor USP: SILVA FILHO, ANTONIO CARLOS ROQUE DA - FFCLRP
- Unidade: FFCLRP
- DOI: 10.3389/fncom.2014.00103
- Subjects: ELETROFISIOLOGIA; CÓRTEX CEREBRAL; FÍSICA COMPUTACIONAL (MODELOS)
- Language: Inglês
- Imprenta:
- Source:
- Título: Frontiers in Computational Neuroscience
- ISSN: 1662-5188
- Volume/Número/Paginação/Ano: v. 8, art. 103, 2014
- Este artigo possui versão em acesso aberto
- URL de acesso aberto
- PDF de acesso aberto
- Versão do Documento: Versão publicada (Published version)
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Status: Artigo publicado em periódico de acesso aberto (Gold Open Access) -
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: 13 mar. 2026. -
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 2026 mar. 13 ] 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 2026 mar. 13 ] Available from: https://doi.org/10.3389/fncom.2014.00103 - Sinergistic activation of pkc by cofactors in a computational model
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