Author

Zino Wellauer

University of ZurichORCID 0009-0002-2715-2525Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Assay:electronic health records· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Adrian NaasiD· 1 shared Berthold LangguthiD· 1 shared Martin SchecklmanniD· 1 shared Patrick K. A. NeffiD· 1 shared Payam S. ShabestariiD· 1 shared Stefan SchoisswohliD· 1 shared Tobias KleinjungiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperNeuroscience

Adrian NaasORCID

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1 paper

Recent·Most cited

Prediction of acoustic tinnitus suppression using resting state EEG: An explainable AI approach

Payam S. Shabestari, Stefan Schoisswohl, Zino Wellauer, Adrian Naas, Tobias Kleinjung, Martin Schecklmann, Berthold Langguth, Patrick K. A. Neff

This paper uses explainable AI to predict acoustic tinnitus suppression from resting state EEG data, identifying key neural features associated with the ability to suppress tinnitus.

bioRxiv · Apr 16, 2024 · PreprintNeuroscience