M
Michael Lindner
Researcher at University of Bonn
Publications - 10
Citations - 2049
Michael Lindner is an academic researcher from University of Bonn. The author has contributed to research in topics: Transfer entropy & Information theory. The author has an hindex of 8, co-authored 9 publications receiving 1808 citations. Previous affiliations of Michael Lindner include Goethe University Frankfurt & Maastricht University.
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Transfer entropy--a model-free measure of effective connectivity for the neurosciences
TL;DR: Transfer entropy (TE) improved the detectability of effective connectivity for non-linear interactions, and for sensor level MEG signals where linear methods are hampered by signal-cross-talk due to volume conduction.
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Dysfunctional long-range coordination of neural activity during Gestalt perception in schizophrenia
Peter J. Uhlhaas,David Edmund Johannes Linden,Wolf Singer,Corinna Haenschel,Michael Lindner,Konrad Maurer,Eugenio Rodriguez +6 more
TL;DR: It is suggested that schizophrenia patients are impaired in the long-range synchronization of neural responses, which may reflect a core deficit in the coordination of neural activity and underlie the specific cognitive dysfunctions associated with the disorder.
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Measuring Information-Transfer Delays
Michael Wibral,Nicolae Pampu,Viola Priesemann,Felix Siebenhühner,Felix Siebenhühner,Hannes Seiwert,Michael Lindner,Joseph T. Lizier,Joseph T. Lizier,Raul Vicente,Raul Vicente,Raul Vicente +11 more
TL;DR: A robust estimator for neuronal interaction delays rooted in an information-theoretic framework is proposed, which allows a model-free exploration of interactions and shows the ability of the extended transfer entropy to detect the presence of multiple delays, as well as feedback loops.
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TRENTOOL: A Matlab open source toolbox to analyse information flow in time series data with transfer entropy
Michael Lindner,Raul Vicente,Raul Vicente,Raul Vicente,Viola Priesemann,Viola Priesemann,Michael Wibral +6 more
TL;DR: This work presents the open-source MATLAB toolbox TRENTOOL, an implementation of transfer entropy and mutual information analysis that aims to support the user in the application of this information theoretic measure.
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Transfer entropy in magnetoencephalographic data: Quantifying information flow in cortical and cerebellar networks
TL;DR: Transfer entropy analysis of MEG source-level signals detected changes in the network between the different task types that prominently involved the left temporal pole and cerebellum--structures that have previously been implied in auditory short-term or working memory.