Stephan Bialonski
Stephan Bialonski
Aachen University of Applied Science
Verified email at - Homepage
Cited by
Cited by
Evolving functional network properties and synchronizability during human epileptic seizures
KA Schindler, S Bialonski, MT Horstmann, CE Elger, K Lehnertz
Chaos: An Interdisciplinary Journal of Nonlinear Science 18 (3), 033119, 2008
Synchronization phenomena in human epileptic brain networks
K Lehnertz, S Bialonski, MT Horstmann, D Krug, A Rothkegel, M Staniek, ...
Journal of neuroscience methods 183 (1), 42-48, 2009
State dependent properties of epileptic brain networks: Comparative graph–theoretical analyses of simultaneously recorded EEG and MEG
MT Horstmann, S Bialonski, N Noennig, H Mai, J Prusseit, J Wellmer, ...
Clinical Neurophysiology 121 (2), 172-185, 2010
Evolving networks in the human epileptic brain
K Lehnertz, G Ansmann, S Bialonski, H Dickten, C Geier, S Porz
Physica D: Nonlinear Phenomena 267, 7-15, 2014
State-of-the-art of seizure prediction
K Lehnertz, F Mormann, H Osterhage, A Müller, J Prusseit, ...
Journal of clinical neurophysiology 24 (2), 147-153, 2007
From brain to earth and climate systems: Small-world interaction networks or not?
S Bialonski, MT Horstmann, K Lehnertz
Chaos: An Interdisciplinary Journal of Nonlinear Science 20, 013134, 2010
Evaluation of selected recurrence measures in discriminating pre-ictal and inter-ictal periods from epileptic EEG data
EJ Ngamga, S Bialonski, N Marwan, J Kurths, C Geier, K Lehnertz
Physics Letters A 380 (16), 1419-1425, 2016
Identifying phase synchronization clusters in spatially extended dynamical systems
S Bialonski, K Lehnertz
Physical Review E 74 (5), 051909, 2006
Assortative mixing in functional brain networks during epileptic seizures
S Bialonski, K Lehnertz
Chaos: An Interdisciplinary Journal of Nonlinear Science 23 (3), 033139, 2013
How important is the seizure onset zone for seizure dynamics?
C Geier, S Bialonski, CE Elger, K Lehnertz
Seizure, 160-166, 2015
Unraveling spurious properties of interaction networks with tailored random networks
S Bialonski, M Wendler, K Lehnertz
PloS one 6 (8), e22826, 2011
Detecting synchronization clusters in multivariate time series via coarse-graining of Markov chains
C Allefeld, S Bialonski
Physical Review E 76 (6), 066207, 2007
Time-dependent degree-degree correlations in epileptic brain networks: from assortative to dissortative mixing
C Geier, K Lehnertz, S Bialonski
Frontiers in Human Neuroscience 9, 462, 2015
Data-driven prediction and prevention of extreme events in a spatially extended excitable system
S Bialonski, G Ansmann, H Kantz
Physical Review E 92 (4), 042910, 2015
Incidental and intentional learning of verbal episodic material differentially modifies functional brain networks
MT Kuhnert, S Bialonski, N Noennig, H Mai, H Hinrichs, C Helmstaedter, ...
PLOS ONE 8 (11), e80273, 2013
Phytoplankton dynamics in the Southern California Bight indicate a complex mixture of transport and biology
S Bialonski, DA Caron, J Schloen, U Feudel, H Kantz, SD Moorthi
Journal of Plankton Research 38 (4), 1077-1091, 2016
Advanced sleep spindle identification with neural networks
L Kaulen, JTC Schwabedal, J Schneider, P Ritter, S Bialonski
Scientific Reports 12 (1), 7686, 2022
Automated scoring of pre-REM sleep in mice with deep learning
N Grieger, JTC Schwabedal, S Wendel, Y Ritze, S Bialonski
Scientific Reports 11, 12245, 2021
Early warning signal for interior crises in excitable systems
R Karnatak, H Kantz, S Bialonski
Physical Review E 96, 042211, 2017
Novel analytical tools reveal that local synchronization of cilia coincides with tissue-scale metachronal waves in zebrafish multiciliated epithelia
C Ringers, S Bialonski, M Ege, A Solovev, JN Hansen, I Jeong, ...
Elife 12, e77701, 2023
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