Synchronous behaviour in network model based on human cortico-cortical 
connections

Protachevicz, P. R.; Borges, R. R.; Reis, A. S.; Borges, F. S.; Iarosz, K. C.; Caldas, I. L.; Lameu, E. L.; Macau, E. E. N.; Viana, R. L.; Sokolov, I. M.; Ferrari, F. A. S.; Kurths, Jürgen; Batista, A. M.; Lo, C.-Y.; He, Y.; Lin, C.-P.

doi:10.1088/1361-6579/aace91

Local TagsRelease HistoryDetailsSummary

Synchronous behaviour in network model based on human cortico-cortical connections

Protachevicz, P. R., Borges, R. R., Reis, A. S., Borges, F. S., Iarosz, K. C., Caldas, I. L., Lameu, E. L., Macau, E. E. N., Viana, R. L., Sokolov, I. M., Ferrari, F. A. S., Kurths, J., Batista, A. M., Lo, C.-Y., He, Y., Lin, C.-P. (2018): Synchronous behaviour in network model based on human cortico-cortical connections. - Physiological Measurement, 39, Art. 074006.
https://doi.org/10.1088/1361-6579/aace91

Item is Released

show all hide all

Basic

show hide

Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_22841 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_22841_2

Genre: Journal Article

Files

show Files

Locators

show

Creators

show

hide

Creators:
Protachevicz, P. R.¹, Author
Borges, R. R.¹, Author
Reis, A. S.¹, Author
Borges, F. S.¹, Author
Iarosz, K. C.¹, Author
Caldas, I. L.¹, Author
Lameu, E. L.¹, Author
Macau, E. E. N.¹, Author
Viana, R. L.¹, Author
Sokolov, I. M.¹, Author
Ferrari, F. A. S.¹, Author
Kurths, Jürgen², Author
Batista, A. M.¹, Author
Lo, C.-Y.¹, Author
He, Y.¹, Author
Lin, C.-P.¹, Author

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

Content

show

Details

show

hide

Language(s):

Dates: Finally published : 2018

Publication Status: Finally published

Pages: -

Publishing info: -

Table of Contents: -

Rev. Type: -

Identifiers: DOI: 10.1088/1361-6579/aace91
PIKDOMAIN: Transdisciplinary Concepts & Methods - Research Domain IV
eDoc: 8317
Working Group: Network- and machine-learning-based prediction of extreme events

Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show

hide

Title: Physiological Measurement

Source Genre: Journal

Creator(s):

Affiliations:

Publ. Info: -

Pages: - Volume / Issue: 39 (Art. 074006) Sequence Number: - Start / End Page: - Identifier: -