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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

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Author(s):
Costa, Ariadne A. ; Brochini, Ludmila ; Kinouchi, Osame
Total Authors: 3
Document type: Journal article
Source: Entropy; v. 19, n. 8 AUG 2017.
Web of Science Citations: 4
Abstract

Networks of stochastic spiking neurons are interesting models in the area of theoretical neuroscience, presenting both continuous and discontinuous phase transitions. Here, we study fully-connected networks analytically, numerically and by computational simulations. The neurons have dynamic gains that enable the network to converge to a stationary slightly supercritical state (self-organized supercriticality (SOSC)) in the presence of the continuous transition. We show that SOSC, which presents power laws for neuronal avalanches plus some large events, is robust as a function of the main parameter of the neuronal gain dynamics. We discuss the possible applications of the idea of SOSC to biological phenomena like epilepsy and Dragon-king avalanches. We also find that neuronal gains can produce collective oscillations that coexist with neuronal avalanches. (AU)

FAPESP's process: 16/24676-1 - Context trees applied to the statistical modeling of neural spike trains
Grantee:Ludmila Brochini Rodrigues
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 13/07699-0 - Research, Innovation and Dissemination Center for Neuromathematics - NeuroMat
Grantee:Oswaldo Baffa Filho
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC
FAPESP's process: 16/20945-8 - Impact of Connection Topology on the Dynamics of Stochastic Integrate-and-Fire Neuronal Network
Grantee:Ariadne de Andrade Costa
Support Opportunities: Scholarships abroad - Research Internship - Post-doctor
FAPESP's process: 16/00430-3 - Computational simulations of stochastic integrate-and-fire neurons balanced networks
Grantee:Ariadne de Andrade Costa
Support Opportunities: Scholarships in Brazil - Post-Doctoral