Antonio C. Roque

University of São Paulo, São Paulo, São Paulo, Brazil 
Computational neuroscience
"Antonio Roque"
Mean distance: 17.15 (cluster 42)
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Pena RFO, Lima V, O Shimoura R, et al. (2020) Optimal Interplay between Synaptic Strengths and Network Structure Enhances Activity Fluctuations and Information Propagation in Hierarchical Modular Networks. Brain Sciences. 10
Pena RFO, Ceballos CC, De Deus JL, et al. (2020) Modeling Hippocampal CA1 Gabaergic Synapses of Audiogenic Rats. International Journal of Neural Systems. 2050022
Lima V, Dellajustina FJ, Shimoura RO, et al. (2020) Granger causality in the frequency domain: derivation and applications Revista Brasileira De Ensino De FíSica. 42
Borges F, Protachevicz P, Pena R, et al. (2020) Self-sustained activity of low firing rate in balanced networks Physica a: Statistical Mechanics and Its Applications. 537: 122671
Tejada J, Roque AC. (2019) Conductance-based models and the fragmentation problem: A case study based on hippocampal CA1 pyramidal cell models and epilepsy. Epilepsy & Behavior : E&B. 106841
Pena RFO, Lima V, Shimoura RO, et al. (2019) Asymmetrical voltage response in resonant neurons shaped by nonlinearities Chaos. 29: 103135
Amorim MR, Pena RFO, Souza GMPR, et al. (2018) Firing properties of ventral medullary respiratory neurons in sino-aortic denervated rats. Experimental Physiology
Cunha AOS, Ceballos CC, de Deus JL, et al. (2018) Intrinsic and synaptic properties of hippocampal CA1 pyramidal neurons of the Wistar Audiogenic Rat (WAR) strain, a genetic model of epilepsy. Scientific Reports. 8: 10412
Pena RFO, Zaks MA, Roque AC. (2018) Dynamics of spontaneous activity in random networks with multiple neuron subtypes and synaptic noise : Spontaneous activity in networks with synaptic noise. Journal of Computational Neuroscience
Pena RFO, Ceballos CC, Lima V, et al. (2018) Interplay of activation kinetics and the derivative conductance determines resonance properties of neurons. Physical Review. E. 97: 042408
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