Dynamical and Coupling Structure of Pulse-Coupled Networks in Maximum Entropy Analysis
Biological Physics
2019-01-17 v1 Neurons and Cognition
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 experiments, 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 coupling structure of pulse-coupled network 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 coupling structure.
Cite
@article{arxiv.1808.04499,
title = {Dynamical and Coupling Structure of Pulse-Coupled Networks in Maximum Entropy Analysis},
author = {Zhi-Qin John Xu and Douglas Zhou and David Cai},
journal= {arXiv preprint arXiv:1808.04499},
year = {2019}
}
Comments
4 pages, 3 figures