93 citations · 357 across the 15 of their papers we have counts for
15 papers
Optimal rate-variance coding due to firing threshold adaptation near criticality
Mauricio Girardi-Schappo, Leonard Maler, André Longtin
Recurrently connected neuron populations play key roles in sensory perception and memory storage across various brain regions. While these populations are often assumed to encode i…
Devil's staircase inside shrimp-shaped regions reveals periodicity of plateau spikes and bursts
Luiz F. B. Caixeta, Matheus H. P. Gonçalves, M. H. R. Tragtenberg +1
Slow-fast dynamics are intrinsically related to complex phenomena and are responsible for many of the homeostatic dynamics that keep biological systems healthy functioning. We stud…
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…
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…
Building a model of the brain: from detailed connectivity maps to network organization
Renan Oliveira Shimoura, Rodrigo F. O. Pena, Vinicius Lima +3
The field of computational modeling of the brain is advancing so rapidly that now it is possible to model large scale networks representing different brain regions with a high leve…
Granger causality in the frequency domain: derivation and applications
Vinicius Lima, Fernanda Jaiara Dellajustina, Renan O. Shimoura +4
Physicists are starting to work in areas where noisy signal analysis is required. In these fields, such as Economics, Neuroscience, and Physics, the notion of causality should be i…
Subsampled directed-percolation models explain scaling relations experimentally observed in the brain
Tawan T. A. Carvalho, Antonio J. Fontenele, Mauricio Girardi-Schappo +6
Recent experimental results on spike avalanches measured in the urethane-anesthetized rat cortex have revealed scaling relations that indicate a phase transition at a specific leve…
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…
Comment on "Convergence towards asymptotic state in 1-D mappings: A scaling investigation"
Mauricio Girardi-Schappo, M. H. R. Tragtenberg
Nonequilibrium phase transitions are characterized by the so-called critical exponents, each of which is related to a different observable. Systems that share the same set of value…
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…
Measuring neuronal avalanches in disordered systems with absorbing states
Mauricio Girardi-Schappo, Marcelo H. R. Tragtenberg
Power-law-shaped avalanche-size distributions are widely used to probe for critical behavior in many different systems, particularly in neural networks. The definition of avalanche…
Information processing occurs via critical avalanches in a model of the primary visual cortex
G. S. Bortolotto, M. Girardi-Schappo, J. J. Gonsalves +2
We study a new biologically motivated model for the Macaque monkey primary visual cortex which presents power-law avalanches after a visual stimulus. The signal propagates through…
Griffiths phase and long-range correlations in a biologically motivated V1 model
Mauricio Girardi-Schappo, Germano S. Bortolotto, Jheniffer J. Gonsalves +2
Activity in the brain propagates as waves of firing neurons, namely avalanches. These waves' size and duration distributions have been experimentally shown to display a stable powe…
A Brief History of Excitable Map-Based Neurons and Neural Networks
M. Girardi-Schappo, M. H. R. Tragtenberg, O. Kinouchi
This review gives a short historical account of the excitable maps approach for modeling neurons and neuronal networks. Some early models, due to Pasemann (1993), Chialvo (1995) an…
Critical Avalanches and Subsampling in Map-based Neural Networks
Mauricio Girardi-Schappo, Osame Kinouchi, Marcelo H. R. Tragtenberg
We investigate the synaptic noise as a novel mechanism for creating critical avalanches in the activity of neural networks. We model neurons and chemical synapses by dynamical maps…