Chaos. 2022 Oct;32(10):103116. doi: 10.1063/5.0104853.
ABSTRACT
A large amount of research has used the scale-free statistics of neuronal avalanches as a signature of the criticality of neural systems, which bears criticisms. For instance, the work of Touboul and Destexhe demonstrated that non-critical systems could also display such scale-free dynamics, which passed their rigorous statistical analyses. In this paper, we show that a fully connected stochastic neural network may also generate scale-free dynamics simply by jumping among many stable states.
PMID:36319307 | DOI:10.1063/5.0104853
