The Dynamics of EEG Entropy

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This article discusses the dynamics of EEG entropy.

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6 p.

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Ignaccolo, Massimiliano; Latka, Miroslaw; Jernajczyk, Wojciech; Grigolini, Paolo & West, Bruce J. March 5, 2009.

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This article is part of the collection entitled: UNT Scholarly Works and was provided by UNT College of Arts and Sciences to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 77 times . More information about this article can be viewed below.

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Description

This article discusses the dynamics of EEG entropy.

Physical Description

6 p.

Notes

This is the pre-published version of this article. The final, definitive version can be found online: http://link.springer.com/article/10.1007%2Fs10867-009-9171-y

Abstract: EEG time series are analyzed using the diffusion entropy method. The resulting EEG entropy manifests short-time scaling, asymptotic saturation and an attenuated alpha-rhythm modulation. These properties are faithfully modeled by a phenomenological Langevin equation interpreted within a neural network context.

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  • Journal of Biological Physics, 2010, Berlin: Springer-Verlag

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Publication Information

  • Publication Title: Journal of Biological Physics
  • Volume: 36
  • Issue: 2
  • Page Start: 185
  • Page End: 196
  • Peer Reviewed: Yes

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UNT Scholarly Works

Materials from the UNT community's research, creative, and scholarly activities and UNT's Open Access Repository. Access to some items in this collection may be restricted.

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  • March 5, 2009

Added to The UNT Digital Library

  • Jan. 16, 2013, 12:47 p.m.

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  • Sept. 25, 2015, 1:09 p.m.

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Ignaccolo, Massimiliano; Latka, Miroslaw; Jernajczyk, Wojciech; Grigolini, Paolo & West, Bruce J. The Dynamics of EEG Entropy, article, March 5, 2009; [Berlin, Germany]. (digital.library.unt.edu/ark:/67531/metadc132967/: accessed June 29, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Arts and Sciences.