activity
19972024
most citedOptimal Dynamical Range of Excitable Networks at Criticality

840 citations · 2.4k across the 48 of their papers we have counts for

collaborators

50 papers

nlin.AO2024★ 3 cited

Optimal input reverberation and homeostatic self-organization towards the edge of synchronization

Sue L. Rhâmidda, Mauricio Girardi-Schappo, Osame Kinouchi

Transient or partial synchronization can be used to do computations, although a fully synchronized network is frequently related to epileptic seizures. Here, we propose a homeostat…

cond-mat.dis-nn2023★ 2 cited

Less is different: why sparse networks with inhibition differ from complete graphs

Gustavo Menesse, Osame Kinouchi

In neuronal systems, inhibition contributes to stabilizing dynamics and regulating pattern formation. Through developing mean field theories of neuronal models, using complete grap…

nlin.AO2021★ 13 cited

Homeostatic Criticality in Neuronal Networks

Gustavo Menesse, Bóris Marin, Mauricio Girardi-Schappo +1

In self-organized criticality (SOC) models, as well as in standard phase transitions, criticality is only present for vanishing external fields . Considering that this is…

math.NT2021★ 1 cited

Prime numbers and random walks in a square grid

Alberto Fraile, Osame Kinouchi, Prashant Dwivedi +3

In recent years, computer simulations are playing a fundamental role in unveiling some of the most intriguing features of prime numbers. In this work, we define an algorithm for a…

cond-mat.dis-nn2020★ 4 cited

Mechanisms of self-organized quasicriticality in neuronal networks models

Osame Kinouchi, Renata Pazzini, Mauro Copelli

The critical brain hypothesis states that there are information processing advantages for neuronal networks working close to the critical region of a phase transition. If this is t…

nlin.AO2020★ 7 cited

Physics of Psychophysics: two coupled square lattices of spiking neurons have huge dynamic range at criticality

Emilio F. Galera, Osame Kinouchi

Psychophysics try to relate physical input magnitudes to psychological or neural correlates. Microscopic models to account for macroscopic psychophysical laws, in the sense of stat…