activity
20172023
most citedSynaptic balance due to homeostatically self-organized quasicritical dynamics

44 citations · 130 across the 6 of their papers we have counts for

collaborators

6 papers

cond-mat.soft2023

Theoretical study of the competition between folding and contact interactions on the properties of polymers using self-avoid random walk algorithm

R. J. Santos Neto, A. A. Costa, P. F. Gomes

The self-avoid random walk algorithm has been extensively used in the study of polymers. In this work we study the basic properties of the trajectories generated with this algorith…

physics.soc-ph2021★ 4 cited

Topological transition in a coupled dynamic in random networks

Paulo Freitas Gomes, Henrique Almeida Fernandes, Ariadne de Andrade Costa

In this work, we study the topological transition on the associated networks in a model proposed by Saeedian et al. (Scientific Reports 2019 9:9726), which considers a coupled dyna…

nlin.AO2020★ 44 cited

Synaptic balance due to homeostatically self-organized quasicritical dynamics

Mauricio Girardi-Schappo, Ludmila Brochini, Ariadne A. Costa +2

Recent experiments suggested that homeostatic regulation of synaptic balance leads the visual system to recover and maintain a regime of power-law avalanches. Here we study an exci…

nlin.AO2019★ 44 cited

Self-organized critical balanced networks: a unified framework

Mauricio Girardi-Schappo, Ludmila Brochini, Ariadne A. Costa +2

Asynchronous irregular (AI) and critical states are two competing frameworks proposed to explain spontaneous neuronal activity. Here, we propose a mean-field model with simple stoc…

nlin.AO2018★ 2 cited

Stochastic oscillations produce dragon king avalanches in self-organized quasi-critical systems

O. Kinouchi, L. Brochini, A. A. Costa +2

In the last decade, several models with network adaptive mechanisms (link deletion-creation, dynamic synapses, dynamic gains) have been proposed as examples of self-organized criti…

nlin.AO2017★ 36 cited

Self-Organized Supercriticality and Oscillations in Networks of Stochastic Spiking Neurons

Ariadne A. Costa, Ludmila Brochini, Osame Kinouchi

Networks of stochastic spiking neurons are interesting models in the area of Theoretical Neuroscience, presenting both continuous and discontinuous phase transitions. Here we study…