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Cited by 392

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Does the 1 / f Frequency Scaling of Brain Signals Reflect Self-Organized Critical States?

Open access
Bédard, C., Kröger, H., Destexhe, A.·2006·Physical Review Letters
DOI 10.1103/physrevlett.97.118102
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Abstract

Many complex systems display self-organized critical states characterized by 1/f frequency scaling of power spectra. Global variables such as the electroencephalogram, scale as 1/f, which could be the sign of self-organized critical states in neuronal activity. By analyzing simultaneous recordings of global and neuronal activities, we confirm the 1/f scaling of global variables for selected frequency bands, but show that neuronal activity is not consistent with critical states. We propose a model of 1/f scaling which does not rely on critical states, and which is testable experimentally.

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Metadata

Authors
Bédard, C., Kröger, H., & Destexhe, A.
Venue
Physical Review Letters
Publisher
American Physical Society (APS)
Published
2006-09-13
Volume
97
Issue
11
Pages
118102-118102
ISSN
  • 0031-9007 (ISSN-L)
  • 1079-7114
DOI
10.1103/physrevlett.97.118102
OpenAlex
W2001516747
Cited by
392
References
3
FWCI
8.27
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Does the 1 / f Frequency Scaling of Brain Signals Reflect Self-Organized Critical States? https://app.cochat.ai/papers/10.1103/physrevlett.97.118102
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Bédard, C., Kröger, H., & Destexhe, A. (2006). Does the 1 / f Frequency Scaling of Brain Signals Reflect Self-Organized Critical States? Physical Review Letters. https://doi.org/10.1103/physrevlett.97.118102

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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