@article{8f2ea1caa8de4bbbb917558b37b0b832,
title = "Dynamical and coupling structure of pulse-coupled networks in maximum entropy analysis",
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.",
keywords = "Coupling structure, Maximum entropy, Neural network, Pulse-coupled network, Sparse coding",
author = "Xu, {Zhi Qin John} and Douglas Zhou and David Cai",
note = "Funding Information: The authors thank DavidW. McLaughlin for helpful discussions. This work was supported by National Science Foundation in China with Grant Nos. 11671259, 11722107, and 91630208 (D.Z.); by NSFC-31571071 (D.C.); by SJTU-UM Collaborative Research Program (D.C. and D.Z.); and by the NYU Abu Dhabi Institute G1301 (Z.-Q.J.X., D.Z., and D.C.) Funding Information: Funding: This work was supported by National Science Foundation in China with Grant Nos. 11671259, 11722107, and 91630208 (D.Z.); by NSFC-31571071 (D.C.); by SJTU-UM Collaborative Research Program (D.C. and D.Z.); and by the NYU Abu Dhabi Institute G1301 (Z.-Q.J.X., D.Z., and D.C.). Publisher Copyright: {\textcopyright} 2019 by the authors.",
year = "2019",
month = jan,
day = "1",
doi = "10.3390/e21010076",
language = "English (US)",
volume = "21",
journal = "Entropy",
issn = "1099-4300",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "1",
}