Titre
Stochastic resonance at criticality in a network model of the human cortex.
Type
article
Institution
UNIL/CHUV/Unisanté + institutions partenaires
Périodique
Auteur(s)
Vázquez-Rodríguez, B.
Auteure/Auteur
Avena-Koenigsberger, A.
Auteure/Auteur
Sporns, O.
Auteure/Auteur
Griffa, A.
Auteure/Auteur
Hagmann, P.
Auteure/Auteur
Larralde, H.
Auteure/Auteur
Liens vers les personnes
Liens vers les unités
ISSN
2045-2322
Statut éditorial
Publié
Date de publication
2017-10-12
Volume
7
Numéro
1
Première page
13020
Peer-reviewed
Oui
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: epublish
Publication Status: epublish
Résumé
Stochastic resonance is a phenomenon in which noise enhances the response of a system to an input signal. The brain is an example of a system that has to detect and transmit signals in a noisy environment, suggesting that it is a good candidate to take advantage of stochastic resonance. In this work, we aim to identify the optimal levels of noise that promote signal transmission through a simple network model of the human brain. Specifically, using a dynamic model implemented on an anatomical brain network (connectome), we investigate the similarity between an input signal and a signal that has traveled across the network while the system is subject to different noise levels. We find that non-zero levels of noise enhance the similarity between the input signal and the signal that has traveled through the system. The optimal noise level is not unique; rather, there is a set of parameter values at which the information is transmitted with greater precision, this set corresponds to the parameter values that place the system in a critical regime. The multiplicity of critical points in our model allows it to adapt to different noise situations and remain at criticality.
PID Serval
serval:BIB_7B210AA2C5A5
PMID
Open Access
Oui
Date de création
2017-10-26T15:01:04.907Z
Date de création dans IRIS
2025-05-20T22:26:19Z
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Nom
29026142_BIB_7B210AA2C5A5.pdf
Version du manuscrit
published
Licence
https://creativecommons.org/licenses/by/4.0
Taille
5.63 MB
Format
Adobe PDF
PID Serval
serval:BIB_7B210AA2C5A5.P001
URN
urn:nbn:ch:serval-BIB_7B210AA2C5A55
Somme de contrôle
(MD5):444ce523ede280a6a57715674d9621e1