Research ArticleNONLINEAR DYNAMICS
Revealing physical interaction networks from statistics of collective dynamics
- 1Racah Institute of Physics, Hebrew University of Jerusalem, 9190401 Jerusalem, Israel.
- 2Faculty of Medicine, Hebrew University of Jerusalem, 9112001 Jerusalem, Israel.
- 3School of Computer Science, Hebrew University of Jerusalem, 9190401 Jerusalem, Israel.
- 4Network Dynamics, Max Planck Institute for Dynamics and Self-Organization, 37077 Göttingen, Germany.
- 5International Max Planck Research School for Physics of Biological and Complex Systems, 37077 Göttingen, Germany.
- 6Technical University of Dresden, Institute for Theoretical Physics, 01062 Dresden, Germany.
- 7Bernstein Center for Computational Neuroscience, 37077 Göttingen, Germany.
- 8Department of Physics, Technical University of Darmstadt, 64289 Darmstadt, Germany.
- ↵*Corresponding author. Email: timme{at}nld.ds.mpg.de
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Science Advances 10 Feb 2017:
Vol. 3, no. 2, e1600396
DOI: 10.1126/sciadv.1600396
Vol. 3, no. 2, e1600396
DOI: 10.1126/sciadv.1600396
Mor Nitzan
1Racah Institute of Physics, Hebrew University of Jerusalem, 9190401 Jerusalem, Israel.
2Faculty of Medicine, Hebrew University of Jerusalem, 9112001 Jerusalem, Israel.
3School of Computer Science, Hebrew University of Jerusalem, 9190401 Jerusalem, Israel.
Jose Casadiego
4Network Dynamics, Max Planck Institute for Dynamics and Self-Organization, 37077 Göttingen, Germany.
5International Max Planck Research School for Physics of Biological and Complex Systems, 37077 Göttingen, Germany.
Marc Timme
4Network Dynamics, Max Planck Institute for Dynamics and Self-Organization, 37077 Göttingen, Germany.
5International Max Planck Research School for Physics of Biological and Complex Systems, 37077 Göttingen, Germany.
6Technical University of Dresden, Institute for Theoretical Physics, 01062 Dresden, Germany.
7Bernstein Center for Computational Neuroscience, 37077 Göttingen, Germany.
8Department of Physics, Technical University of Darmstadt, 64289 Darmstadt, Germany.
