Can I read Neuronal Avalanches: Where Temporal Complexity and Criticality Meet on EtoBox?

Neuronal Avalanches: Where Temporal Complexity and Criticality Meet by Habibabadi, Mohammad Dehghani; Zare, Marzieh; Shahbazi, Farhad; Usefie-Mafahim, Javad; Grigolini, Paolo is a scholarly article available to read on EtoBox.

What is Neuronal Avalanches: Where Temporal Complexity and Criticality Meet about?

The model of the current paper is an extension of a previous publication, wherein we used the leaky integrate-and-fire model on a regular lattice with periodic boundary conditions, and introduced the temporal complexity as a genuine signature of criticality. In that work, the power-law distribution of neural avalanches was manifestation of supercriticality rather than criticality. Here, however, we show that continuous solution of the model and replacing the stochastic noise with a Gaussian zero-mean noise leads to the coincidence of power-law display of temporal complexity and spatiotemporal patterns of neural avalanches at the critical point. We conclude that the source of inconsistency may in fact be a numerical artifact originated by the discrete description of the model, which may imply slow numerical convergence of avalanche distribution compared to temporal complexity.

Author

Habibabadi, Mohammad Dehghani; Zare, Marzieh; Shahbazi, Farhad; Usefie-Mafahim, Javad; Grigolini, Paolo

Published

2016

Language

EN