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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URN: | urn:nbn:de:kobv:517-opus4-436285 |
DOI: | https://doi.org/10.25932/publishup-43628 |
ISSN: | 1866-8372 |
Title of parent work (German): | Postprints der Universität Potsdam Mathematisch-Naturwissenschaftliche Reihe |
Publication series (Volume number): | Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe (760) |
Publication type: | Postprint |
Language: | English |
Date of first publication: | 2019/12/10 |
Publication year: | 2017 |
Publishing institution: | Universität Potsdam |
Release date: | 2019/12/10 |
Tag: | neuronal connectivity; partial synchronization |
Issue: | 760 |
Number of pages: | 8 |
Source: | Physical review E 96 (2017), Art. 012209 DOI: 10.1103/PhysRevE.96.012209 |
Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät |
DDC classification: | 5 Naturwissenschaften und Mathematik / 53 Physik / 530 Physik |
Peer review: | Referiert |
Publishing method: | Open Access |
Grantor: | Horizon 2020 |
License (German): | Keine öffentliche Lizenz: Unter Urheberrechtsschutz |