Reconstructing networks of pulse-coupled oscillators from spike trains
- 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.
Author details: | Rok CestnikORCiDGND, Michael RosenblumORCiDGND |
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DOI: | https://doi.org/10.1103/PhysRevE.96.012209 |
ISSN: | 2470-0045 |
ISSN: | 2470-0053 |
Pubmed ID: | https://pubmed.ncbi.nlm.nih.gov/29347231 |
Title of parent work (English): | Physical review : E, Statistical, nonlinear and soft matter physics |
Publisher: | American Physical Society |
Place of publishing: | College Park |
Publication type: | Article |
Language: | English |
Year of first publication: | 2017 |
Publication year: | 2017 |
Release date: | 2020/04/20 |
Volume: | 96 |
Number of pages: | 8 |
First page: | 3455 |
Last Page: | 3461 |
Funding institution: | the Marie Sklodowska-Curie (COSMOS) [642563]; Russian Science Foundation [17-12-01534] |
Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Physik und Astronomie |
Peer review: | Referiert |