Nonstationary transition to phase synchronization of neural networks induced by 
the coupling architecture

Budzinski, R. C.; Boaretto, B. R. R.; Rossi, K. L.; Prado, T. L.; Kurths, Jürgen; Lopes, S. R.

doi:10.1016/j.physa.2018.05.076

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Nonstationary transition to phase synchronization of neural networks induced by the coupling architecture

Budzinski, R. C., Boaretto, B. R. R., Rossi, K. L., Prado, T. L., Kurths, J., Lopes, S. R. (2018): Nonstationary transition to phase synchronization of neural networks induced by the coupling architecture. - Physica A: Statistical Mechanics and its Applications, 507, 321-334.
https://doi.org/10.1016/j.physa.2018.05.076

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_22633 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_22633_2

Genre: Journal Article

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Creators:
Budzinski, R. C.¹, Author
Boaretto, B. R. R.¹, Author
Rossi, K. L.¹, Author
Prado, T. L.¹, Author
Kurths, Jürgen², Author
Lopes, S. R.¹, Author

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1Potsdam Institute for Climate Impact Research and Cooperation Partners, ou_persistent13
2Potsdam Institute for Climate Impact Research, ou_persistent13

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Dates: Finally published : 2018

Publication Status: Finally published

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Identifiers: DOI: 10.1016/j.physa.2018.05.076
PIKDOMAIN: Transdisciplinary Concepts & Methods - Research Domain IV
eDoc: 8201
Working Group: Network- and machine-learning-based prediction of extreme events

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Title: Physica A: Statistical Mechanics and its Applications

Source Genre: Journal

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Pages: - Volume / Issue: 507 Sequence Number: - Start / End Page: 321 - 334 Identifier: -