Dynamical neuronal gains produce self-organized criticality in stochastic spiking neural networks (2016)
- Authors:
- USP affiliated authors: KINOUCHI FILHO, OSAME - FFCLRP ; SILVA FILHO, ANTONIO CARLOS ROQUE DA - FFCLRP
- Unidade: FFCLRP
- Subjects: SISTEMA NERVOSO; MATEMÁTICA; INFORMÁTICA
- Keywords: Integrative-and-fire neuron; Neuron; Stochastic modeling; Self-organized critically; Neuronal avalancehes; Directed percolation
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Abstracts
- Conference titles: Neuroinformatics 2016
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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: 28 mar. 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 mar. 28 ] -
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 mar. 28 ] - A stochastic version of the Potjans-Diesmann cortical column model
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- Latin American School on Computational Neurosciene (LASCON), 3
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