<div class="csl-bib-body">
<div class="csl-entry">Waser, M., Garn, H., Schmidt, R., Benke, T., Dal-Bianco, P., Ransmayr, G., Schmidt, H., Seiler, S., Sanin, G., Mayer, F., Caravias, G., Grossegger, D., Frühwirth, W., & Deistler, M. (2016). Quantifying synchrony patterns in the EEG of Alzheimer’s patients with linear and non-linear connectivity markers. <i>Journal of Neural Transmission</i>, <i>123</i>(3), 297–316. https://doi.org/10.1007/s00702-015-1461-x</div>
</div>
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dc.identifier.issn
0300-9564
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http://hdl.handle.net/20.500.12708/149260
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en
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dc.publisher
SPRINGER WIEN
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dc.relation.ispartof
Journal of Neural Transmission
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dc.subject
Psychiatry and Mental health
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dc.subject
Biological Psychiatry
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dc.subject
Neurology
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dc.subject
Neurology (clinical)
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dc.title
Quantifying synchrony patterns in the EEG of Alzheimer's patients with linear and non-linear connectivity markers
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Artikel
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Article
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dc.description.startpage
297
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316
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Original Research Article
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123
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3
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Mathematical Methods in Economics
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100
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Journal of Neural Transmission
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E105-02 - Forschungsbereich Ökonometrie und Systemtheorie
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tuw.publisher.doi
10.1007/s00702-015-1461-x
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1435-1463
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20
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Wirtschaftsmathematik und Stochastik
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Mathematical Methods in Economics and Stochastics
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E100
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research article
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E105 - Institut für Stochastik und Wirtschaftsmathematik
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E389 - Institute of Telecommunications
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E105 - Institut für Stochastik und Wirtschaftsmathematik
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crisitem.author.parentorg
E100 - Fakultät für Mathematik und Geoinformation
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E350 - Fakultät für Elektrotechnik und Informationstechnik