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Cited by 58stochastic dynamics and bifurcationNeural dynamics and brain functionTheoretical and Computational Physics

Stochastic resonance at criticality in a network model of the human cortex

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Vázquez-Rodríguez, Bertha, Avena-Koenigsberger, Andrea, Sporns, Olaf, Griffa, Alessandra, Hagmann, Patric, Larralde, Hernán·2017·Scientific Reports
DOI 10.1038/s41598-017-13400-5PMC PMC5638949
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Abstract

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.

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  • Hierarchical organization, modularity, and self-organized criticality (SOC) may promote both integrated information maximization and free energy minimization.

    “Hierarchical organization, modularity, and self-organized criticality (SOC) may promote both integrated information maximization and free energy minimization (Friston et al., 2012a, 2014; Vázquez-Rodríguez et al., 2017; Hoffmann and Payton, 2018; Salehipour et al., 2018; Khajehabdollahi et al., 2019), potentially suggesting major points of intersection between FEP-AI and IIT across a wide range of”

    From An Integrated World Modeling Theory (IWMT) of Consciousness (2020) · cites this paper as Vázquez-Rodríguez et al., 2017

    The Discussion (page not provided) says criticality facilitates information integration across higher-order areas and segregated processing in sensory and motor areas. That supports a connection between criticality and information integration, but the paper does not establish integrated information maximization or free energy minimization, nor does it show that hierarchical organization and modularity promote both. (LLM, conf=0.86)

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Authors
Vázquez-Rodríguez, B., Avena-Koenigsberger, A., Sporns, O., Griffa, A., Hagmann, P., & Larralde, H.
Affiliations
  • Universidad Nacional Autónoma de México (MX)
  • Indiana University Bloomington (US)
  • Centre Hospitalier Universitaire Vaudois (CH)
Corresponding author
Vázquez-Rodríguez, Bertha
ORCID
Venue
Scientific Reports
Publisher
Springer Science and Business Media LLC
Published
2017-10-12
Volume
7
Issue
1
Pages
13020-13020
ISSN
2045-2322 (ISSN-L)
DOI
10.1038/s41598-017-13400-5
PMC
PMC5638949
OpenAlex
W3101537112
Cited by
58
References
4
Citations by year
2026: 1 · 2025: 7 · 2024: 8 · 2023: 10 · 2022: 10 · 2021: 8 · 2020: 5 · 2019: 3 · 2018: 3 · 2017: 3
FWCI
1.99
Type
journal article
Language
en
Open access
Licence
Locations
  • Scientific Reports (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • SERVAL (Université de Lausanne) (publishedVersion, cc-by)
  • arXiv (Cornell University) (submittedVersion)
  • IRIS (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • IUScholarWorks Open (Indiana University) (submittedVersion)
  • arXiv (Cornell University)
Funders
  • National Science Foundation (310030)
  • École Polytechnique Fédérale de Lausanne
  • Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (56874, 310030)
  • Université de Genève
  • Université de Lausanne
  • Centre d'Imagerie BioMédicale
  • Centre Hospitalier Universitaire Vaudois
  • Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México (IN110016, PAPIIT IN110016)
Topics
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › stochastic dynamics and bifurcation
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Physical Sciences › Physics and Astronomy › Condensed Matter Physics › Theoretical and Computational Physics
Keywords
stochastic resonance, criticality, human cortex, brain network models, connectome, optimal noise level, signal similarity, dynamic network model, critical points
MeSH terms
Adult, Cerebral Cortex, Female, Humans, Male, Models, Neurological, Probability, Stochastic Processes, Time Factors

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