Reconstructing networks of pulse-coupled oscillators from spike trains

Rok Cestnik*, Michael Rosenblum

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review


We present an approach for reconstructing networks of pulse-coupled neuronlike oscillators from passive observation of pulse trains of all nodes. It is assumed that units are described by their phase response curves and that their phases are instantaneously reset by incoming pulses. Using an iterative procedure, we recover the properties of all nodes, namely their phase response curves and natural frequencies, as well as strengths of all directed connections.

Original languageEnglish
Article number012209
JournalPhysical Review E
Issue number1
Publication statusPublished - 12 Jul 2017


This work has been financially supported by the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant Agreement No. 642563 (COSMOS). Numerical calculations of M. Rosenblum were supported by the Russian Science Foundation Grant No. 17-12-01534.

FundersFunder number
Horizon 2020 Framework Programme
Russian Science Foundation17-12-01534
Horizon 2020642563


    Dive into the research topics of 'Reconstructing networks of pulse-coupled oscillators from spike trains'. Together they form a unique fingerprint.

    Cite this