Dynamical and coupling structure of pulse-coupled networks in maximum entropy analysis

Zhi Qin John Xu, Doug Zhou, David Cai

Research output: Contribution to journalArticle

Abstract

Maximum entropy principle (MEP) analysis with few non-zero effective interactions successfully characterizes the distribution of dynamical states of pulse-coupled networks in many fields, e.g., in neuroscience. To better understand the underlying mechanism, we found a relation between the dynamical structure, i.e., effective interactions in MEP analysis, and the anatomical coupling structure of pulse-coupled networks and it helps to understand how a sparse coupling structure could lead to a sparse coding by effective interactions. This relation quantitatively displays how the dynamical structure is closely related to the anatomical coupling structure.

Original languageEnglish (US)
Article number76
JournalEntropy
Volume21
Issue number1
DOIs
StatePublished - Jan 1 2019

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entropy
pulses
neurology
interactions
coding

Keywords

  • Coupling structure
  • Maximum entropy
  • Neural network
  • Pulse-coupled network
  • Sparse coding

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Dynamical and coupling structure of pulse-coupled networks in maximum entropy analysis. / Xu, Zhi Qin John; Zhou, Doug; Cai, David.

In: Entropy, Vol. 21, No. 1, 76, 01.01.2019.

Research output: Contribution to journalArticle

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