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1
Dynamical neuronal gains produce self-organized criticality in stochastic spiking neural networks
Dynamical neuronal gains produce self-organized criticality in stochastic spiking neural networks
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Dynamical neuronal gains produce self-organized criticality in stochastic spiking neural networks

Osame Kinouchi Ariadne D Costa; Ludmila Brochini; Antônio Carlos Roque da Silva Filho; Neuroinformatics 2016 (2016 Reading)

Abstracts Reading, 2016

Reading 2016

Localização: FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 2830839 Estantes Deslizantes )(Acessar)

2
A stochastic version of the Potjans-Diesmann cortical column model
A stochastic version of the Potjans-Diesmann cortical column model
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

A stochastic version of the Potjans-Diesmann cortical column model

Vinicius L. Cordeiro Renan O Shimoura; Nilton L Kamiji; Osame Kinouchi; Antônio Carlos Roque da Silva Filho; Neuroinformatics 2016 (2016 Reading)

Abstracts Reading, 2016

Reading 2016

Localização: FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 2830856 Estantes Deslizantes )(Acessar)

3
Perspective on applications of a stochastic spiking neuron model to neural network modeling
Perspective on applications of a stochastic spiking neuron model to neural network modeling
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Perspective on applications of a stochastic spiking neuron model to neural network modeling

Antônio Carlos Roque Ludmila Brochini; Ariadne Costa; Vinícius Cordeiro; Renan Shimoura; Miguel Natalio Abadi; Osame Kinouchi; Jorge Stolfi; Neuromat Workshop on High-Performance Computing, Stochastic Modeling and Databases in Neuroscience (2016 São Paulo)

Abstracts São Paulo : USP, 2016

São Paulo USP 2016

Acesso online. A biblioteca também possui exemplares impressos.

4
Applications of a stochastic spiking neuron model to neural network modeling
Applications of a stochastic spiking neuron model to neural network modeling
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Applications of a stochastic spiking neuron model to neural network modeling

Antônio Carlos Roque Ludmila Brochini; Ariadne Costa; Vinícius Cordeiro; Renan Shimoura; Nilton Kamiji; Osame Kinouchi; Jorge Stolfi Brasil; Neuromat Workshop on High-Performance Computing, Stochastic Modeling and Databases in Neuroscience (2016 São Paulo)

Abstracts São Paulo : USP, 2016

São Paulo USP 2016

Localização: FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 2863109 Estantes Deslizantes )(Acessar)

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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