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

Zhi Qin John Xu, Douglas Zhou, David Cai

Research output: Contribution to journalArticlepeer-review


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
Issue number1
StatePublished - Jan 1 2019


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

ASJC Scopus subject areas

  • General Physics and Astronomy


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