From self-organized to extended criticality


Article discussing the criticality of transition processes in neurophysiology.

Creation Date: April 26, 2012
UNT College of Arts and Sciences
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Creator (Author):
Lovecchio, Elisa

University of North Texas

Creator (Author):
Allegrini, Paolo

Centro EXTREME; Istituto di Fisiologia Clinica

Creator (Author):
Geneston, Elvis L.

La Sierra University

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West, Bruce J.

US Army Research Office

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Grigolini, Paolo

University of North Texas

Publisher Info:
Place of Publication: [Lausanne, Switzerland]
  • Creation: April 26, 2012

Article discussing the criticality of transition processes in neurophysiology.

Department: Physics

Abstract: We address the issue of criticality that is attracting the attention of an increasing number of neurophysiologists. Our main purpose is to establish the specific nature of some dynamical processes that although physically different, are usually termed as "critical," and we focus on those characterized by the cooperative interaction of many units. We notice that the term "criticality" has been adopted to denote both noise-induced phase transitions and Self-Organized Criticality (SOC) with no clear connection with the traditional phase transitions, namely the transformation of a thermodynamic system from one state of matter to another. We notice the recent attractive proposal of extended criticality advocated by Bailly and Longo, which is realized through a wide set of critical points rather than emerging as a singularity from a unique value of the control parameter. We study a set of cooperatively firing neurons and we show that for an extended set of interaction couplings the system exhibits a form of temporal complexity similar to that emerging at criticality from ordinary phase transitions. This extended criticality regime is characterized by three main properties: (i) In the ideal limiting case of infinitely large time period, temporal complexity corresponds to Mittag-Leffler complexity; (ii) For large values of the interaction coupling the periodic nature of the process becomes a predominant while maintaining to some extent, in the intermediate time asymptotic region, the signature of complexity; (iii) Focusing their attention on firing neuron avalanches, We find two of the popular SOC properties, namely the power indexes 2 and 1.5 respectively for time length and for the intensity of the avalanches. We derive the main conclusion that SOC emerges from extended criticality, thereby explaining the experimental observation of Plenz and Beggs: avalanches occur in time with surprisingly regularity, in apparent conflict with the temporal complexity of physical critical points.

Physical Description:

9 p.

Keyword(s): SOC | extended criticality | neural networks | cooperation
Source: Frontiers in Physiology, 2012, Lausanne: Frontiers Research Foundation
UNT College of Arts and Sciences
UNT Scholarly Works
  • DOI: 10.3389/fphys.2012.00098 |
  • ARK: ark:/67531/metadc132990
Resource Type: Article
Format: Text
Access: Public
Publication Title: Frontiers in Physiology
Volume: 3
Issue: 98
Pages: 9
Peer Reviewed: Yes