24 research outputs found

    Analytical approach to network inference : Investigating degree distribution

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    The authors thank Dr. Daniel Vogel for helpful comments and discussions. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 642563.Peer reviewedPublisher PD

    Inferring the underlying multivariate structure from bivariate networks with highly correlated nodes

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    Funding Information: PL acknowledges financial support from Medical Research Scotland (Grant No.: RG14565). Publisher Copyright: © 2022, The Author(s).Peer reviewedPublisher PD

    Networks : On the relation of bi- and multivariate measures

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    Date of Acceptance: 28/04/2015 Acknowledgement The article processing charge was funded by the German Research Foundation (DFG) and the Albert Ludwigs University Freiburg in the funding programme Open Access PublishingPeer reviewedPublisher PD

    Improving network inference : The impact of false positive and false negative conclusions about the presence or absence of links

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    This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 642563.Peer reviewedPostprin

    Assessing the strength of directed influences among neural signals : An approach to noisy data

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    Acknowledgements This work was supported by the German Science Foundation (Ti315/4-2), the German Federal Ministry of Education and Research (BMBF grant 01GQ0420), and the Excellence Initiative of the German Federal and State Governments. B.S. is indebted to the Kosterlitz Centre for the financial support of this research project.Peer reviewedPreprin

    On the validity of neural mass models

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    FUNDING This study received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement #642563 (COSMOS). ACKNOWLEDGMENTS ND and AD want to thank Rok Cestnik and Bastian Pietras for fruitful discussionsPeer reviewedPublisher PD

    The impact of physiological noise on hemodynamic-derived estimates of directed functional connectivity

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    This work was supported by a grant of the BrainLinks-BrainTools Cluster of Excellence funded by the German Research Foundation (DFG, Grant Number EXC 1086).Peer reviewedPostprintPostprin
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