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Tricritical behavior in a neural model with excitatory and inhibitory units

Academic Article
Publication Date:
2022
abstract:
While the support for the relevance of critical dynamics to brain function is increasing, there is much less agreement on the exact nature of the advocated critical point. Thus, a considerable number of theoretical efforts are currently concentrated on which mechanisms and what type(s) of transition can be exhibited by neuronal network models. In that direction, the present work describes the effect of incorporating a fraction of inhibitory neurons on the collective dynamics. As we show, this results in the appearance of a tricritical point for highly connected networks and a nonzero fraction of inhibitory neurons.
Iris type:
01.01 Articolo in rivista
Keywords:
Neural networks; Brain functions; Collective dynamics; Connected networks; Critical dynamics; Inhibitory neurons; Network models; Neural modelling; Neuronal networks; Tricritical behavior; Tricritical point
List of contributors:
Grigera, TOMAS SEBASTIAN
Handle:
https://iris.cnr.it/handle/20.500.14243/444673
Published in:
PHYSICAL REVIEW. E (PRINT)
Journal
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URL

https://journals.aps.org/pre/abstract/10.1103/PhysRevE.106.054140
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