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Refinado por: autor: Kinouchi, O remover assunto: Neurociências remover
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1
Self-organized supercriticality and oscillations in networks of stochastic spiking neurons
Self-organized supercriticality and oscillations in networks of stochastic spiking neurons
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Artigo 		Adicionar ao Meu Espaço

Self-organized supercriticality and oscillations in networks of stochastic spiking neurons

Ariadne Costa Ludmila Brochini; Osame Kinouchi

Entropy Basel v. 19, n. 8, art. 399, 2017

Basel 2017

Localização: FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 2926833 Estantes Deslizantes )(Acessar)

2
Phase transitions and self-organized criticality in networks of stochastic spiking neurons
Phase transitions and self-organized criticality in networks of stochastic spiking neurons
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Phase transitions and self-organized criticality in networks of stochastic spiking neurons

Ludmila Brochini Ariadne de Andrade Costa; Miguel Natalio Abadi; Antônio Carlos Roque; Jorge Stolfi; Osame Kinouchi

Scientific Reports London v. 6, art. 35831, 2016

London 2016

Localização: FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 2849331 Estantes Deslizantes ) e outros locais(Acessar)

3
Explaining the hovering stochastic oscillations in self-organized quasi-critical systems
Explaining the hovering stochastic oscillations in self-organized quasi-critical systems
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Artigo de Congresso 		Adicionar ao Meu Espaço

Explaining the hovering stochastic oscillations in self-organized quasi-critical systems

Osame Kinouchi Ludmila Brochini; Jorge Stolfi; Ariadne de Andrade Costa; Antônio Carlos Roque; Mauro Copelli; International Conference on Mathematical Neuroscience (ICMNS) (4. 2018 Juan-les-Pins)

Abstracts Juan-les-Pins: on-line, 2018

Juan-les-Pins 2018

Localização: FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 2964152 Estantes Deslizantes )(Acessar)

4
Dynamical neuronal gains produce self-organized criticality in stochastic spiking neural networks
Dynamical neuronal gains produce self-organized criticality in stochastic spiking neural networks
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Dynamical neuronal gains produce self-organized criticality in stochastic spiking neural networks

Ludmila Brochini Ariadne de Andrade Costa; Miguel Natalio Abadi; Antônio Carlos Roque; Jorge Stolfi; Osame Kinouchi; Palestra no Centre of Complexity Science - Imperial College London (2016 London)

Abstract London : Imperial College London, 2016

London Imperial College London 2016

Localização: FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 2861823 Estantes Deslizantes )(Acessar)

5
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
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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.

6
Applications of a stochastic spiking neuron model to neural network modeling
Applications of a stochastic spiking neuron model to neural network modeling
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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)

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