Applications of a stochastic spiking neuron model to neural network modeling (2016)
- Authors:
- USP affiliated authors: SILVA FILHO, ANTONIO CARLOS ROQUE DA - FFCLRP ; KINOUCHI FILHO, OSAME - FFCLRP
- Unidade: FFCLRP
- Subjects: NEUROCIÊNCIAS; REDES NEURAIS; MODELOS PARA PROCESSOS ESTOCÁSTICOS
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Abstracts
- Conference titles: Neuromat Workshop on High-Performance Computing, Stochastic Modeling and Databases in Neuroscience
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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: 28 mar. 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 mar. 28 ] -
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 mar. 28 ] - A stochastic version of the Potjans-Diesmann cortical column model
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- Latin American School on Computational Neurosciene (LASCON), 3
- Perspective on applications of a stochastic spiking neuron model to neural network modeling
- Dynamical neuronal gains produce self-organized criticality in stochastic spiking neural networks
- Phase transitions and self-organized criticality in networks of stochastic spiking neurons
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