Cooperation in neural systems: Bridging complexity and periodicity

Description:

This article discusses cooperation in neural systems.

Creator(s):
Creation Date: November 29, 2012
Partner(s):
UNT College of Arts and Sciences
Collection(s):
UNT Scholarly Works
Usage:
Total Uses: 38
Past 30 days: 2
Yesterday: 0
Creator (Author):
Zare, Marzieh

University of North Texas

Creator (Author):
Grigolini, Paolo

University of North Texas

Publisher Info:
Publisher Name: American Physical Society
Place of Publication: [College Park, Maryland]
Date(s):
  • Creation: November 29, 2012
Description:

This article discusses cooperation in neural systems.

Degree:
Department: Physics
Note:

Copyright 2012 American Physical Society. The following article appeared in Physical Review E, 86; http://pre.aps.org/abstract/PRE/v86/i5/e051918

Note:

Abstract: Inverse power law distributions are generally interpreted as a manifestation of complexity, and waiting time distributions with power index μ < 2 reflect the occurrence of ergodicity-breaking renewal events. In this paper we show how to combine these properties with the apparently foreign clocklike nature of biological processes. We use a two-dimensional regular network of leaky integrate-and-fire neurons, each of which is linked to its four nearest neighbors, to show that both complexity and periodicity are generated by locality breakdown: Links of increasing strength have the effect of turning local interactions into long-range interactions, thereby generating time complexity followed by time periodicity. Increasing the density of neuron firings reduces the influence of periodicity, thus creating a cooperation-induced renewal condition that is distinctly non-Poissonian.

Physical Description:

6 p.

Language(s):
Subject(s):
Keyword(s): periodicity | neural systems | power index | inverse power | law distribution
Source: Physical Review E, 2012, College Park: American Physical Society
Partner:
UNT College of Arts and Sciences
Collection:
UNT Scholarly Works
Identifier:
  • DOI: 10.1103/PhysRevE.86.051918
  • ARK: ark:/67531/metadc132986
Resource Type: Article
Format: Text
Rights:
Access: Public
Citation:
Publication Title: Physical Review E
Volume: 86
Pages: 6
Peer Reviewed: Yes