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Biophysical network models of phase-synchronization in MEG resting-state
View ORCID ProfileN Williams, B Toselli, F Siebenhühner, S Palva, G Arnulfo, S Kaski, JM Palva
doi: https://doi.org/10.1101/2021.08.04.455014
N Williams
1Helsinki Institute of Information Technology, Department of Computer Science, Aalto University, Finland
2Department of Neuroscience & Biomedical Engineering, Aalto University, Finland
B Toselli
3Department of Informatics, Bioengineering, Robotics & Systems Engineering, University of Genoa, Italy
F Siebenhühner
4Neuroscience Center, Helsinki Institute of Life Science, University of Helsinki, Finland
S Palva
4Neuroscience Center, Helsinki Institute of Life Science, University of Helsinki, Finland
5Centre for Cognitive Neuroimaging, Institute of Neuroscience & Psychology, University of Glasgow, United Kingdom
G Arnulfo
3Department of Informatics, Bioengineering, Robotics & Systems Engineering, University of Genoa, Italy
S Kaski
1Helsinki Institute of Information Technology, Department of Computer Science, Aalto University, Finland
6Department of Computer Science, University of Manchester, United Kingdom
JM Palva
2Department of Neuroscience & Biomedical Engineering, Aalto University, Finland
4Neuroscience Center, Helsinki Institute of Life Science, University of Helsinki, Finland
5Centre for Cognitive Neuroimaging, Institute of Neuroscience & Psychology, University of Glasgow, United Kingdom
Posted August 05, 2021.
Biophysical network models of phase-synchronization in MEG resting-state
N Williams, B Toselli, F Siebenhühner, S Palva, G Arnulfo, S Kaski, JM Palva
bioRxiv 2021.08.04.455014; doi: https://doi.org/10.1101/2021.08.04.455014
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