論文

査読有り
2016年7月

Critical phenomena at a first-order phase transition in a lattice of glow lamps: Experimental findings and analogy to neural activity

CHAOS
  • Ludovico Minati
  • ,
  • Antonio de Candia
  • ,
  • Silvia Scarpetta

26
7
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1063/1.4954879
出版者・発行元
AMER INST PHYSICS

Networks of non-linear electronic oscillators have shown potential as physical models of neural dynamics. However, two properties of brain activity, namely, criticality and metastability, remain under-investigated with this approach. Here, we present a simple circuit that exhibits both phenomena. The apparatus consists of a two-dimensional square lattice of capacitively coupled glow (neon) lamps. The dynamics of lamp breakdown (flash) events are controlled by a DC voltage globally connected to all nodes via fixed resistors. Depending on this parameter, two phases having distinct event rate and degree of spatiotemporal order are observed. The transition between them is hysteretic, thus a first-order one, and it is possible to enter a metastability region, wherein, approaching a spinodal point, critical phenomena emerge. Avalanches of events occur according to power-law distributions having exponents approximate to 3/2 for size and approximate to 2 for duration, and fractal structure is evident as power-law scaling of the Fano factor. These critical exponents overlap observations in biological neural networks; hence, this circuit may have value as building block to realize corresponding physical models. Published by AIP Publishing.

Web of Science ® 被引用回数 : 8

リンク情報
DOI
https://doi.org/10.1063/1.4954879
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000382404700003&DestApp=WOS_CPL
URL
http://www.scopus.com/inward/record.url?eid=2-s2.0-84977674050&partnerID=MN8TOARS
URL
http://orcid.org/0000-0002-2532-1674
ID情報
  • DOI : 10.1063/1.4954879
  • ISSN : 1054-1500
  • eISSN : 1089-7682
  • ORCIDのPut Code : 37534807
  • SCOPUS ID : 84977674050
  • Web of Science ID : WOS:000382404700003

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