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Granger causal time-dependent source connectivity in the somatosensory network
Gao, L., Sommerlade, L., Coffman, B., Zhang, T., Stephen, J. M., Li, D., Wang, J., Grebogi, C., Schelter, B. O.
Scientific Reports, vol. 5, 10399
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Spatiotemporal Patterns and Predictability of Cyberattacks
Chen, Y. Z., Huang, Z. G., Xu, S., Lai, Y.
Physical Review. E, Statistical, Nonlinear and Soft Matter Physics, vol. 10, no. 6, 0131501
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Optimal model-free prediction from multivariate time series
Runge, J., Donner, R. V., Kurths, J.
Physical Review. E, Statistical, Nonlinear and Soft Matter Physics, vol. 91, no. 5, 052909
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Effects of assortative mixing in the second-order Kuramoto model
Peron, T. K. D. M., Ji, P., Rodrigues, F. A., Kurths, J.
Physical Review. E, Statistical, Nonlinear and Soft Matter Physics, vol. 91, no. 5, 052805
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Macroscopic description of complex adaptive networks co-evolving with dynamic node states
Wiedermann, M., Donges, J. F., Heitzig, J., Lucht, W., Kurths, J.
Physical Review. E, Statistical, Nonlinear and Soft Matter Physics, vol. 91, no. 5, 052801
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Droplet lasers
Jonáš, A., McGloin, D., Kiraz, A.
Optics and Photonics News, vol. 26, pp. 36-43
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Analysing spatially extended high-dimensional dynamics by recurrence plots
Marwan, N., Kurths, J., Foerster, S.
Physics Letters A, vol. 379, no. 10-11, pp. 894-900
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https://doi.org/10.1016/j.physleta.2015.01.013
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Anti-synchronization for stochastic memristor-based neural networks with non-modeled dynamics via adaptive control approach
Zhao, H., Li, L., Peng, H., Kurths, J., Xiao, J., Yang, Y.
The European Physical Journal B - Condensed Matter and Complex Systems , vol. 88, 109
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Reverse engineering of biochar
Morales, V. L., Perez-Reche, F. J., Hapca, S. M., Hanley, K. L., Lehmann, J., Zhang, W.
Bioresource Technology, vol. 183, pp. 163-174
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Network inference in the presence of latent confounders: The role of instantaneous causalities
Elsegai, H., Shiells, H., Thiel, M., Schelter, B.
Journal of Neuroscience Methods, vol. 245, pp. 91-106
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