activity
20162020
most citedSynaptic balance due to homeostatically self-organized quasicritical dynamics

44 citations · 138 across the 7 of their papers we have counts for

collaborators

7 papers

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★ 1 cited

Metastability and Multiscale Extinction Time on a Finite System of Interacting Stochastic Chains

L. Brochini, M. Abadi

We studied metastability and extinction time of a finite system with a large number of interacting components in discrete time by means of analytical and numerical investigation. T…

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…

q-bio.NC2016

Estimation of neuronal interaction graph from spike train data

Ludmila Brochini, Antonio Galves, Pierre Hodara +2

One of the main current issues in Neurobiology concerns the understanding of interrelated spiking activity among multineuronal ensembles and differences between stimulus-driven and…