Author

Christian Scharinger

Leibniz-Institut für WissensmedienORCID 0000-0003-0287-8725Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Assay:electronic health records· 2 Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Organism:human· 1

Frequent Co-Authors

Peter H. GerjetsiD· 2 shared Tanja KrumpeiD· 2 shared Wolfgang Rosenstiel· 2 shared Martin SpÃ¼ler· 1 shared Martin SpüleriD· 1 shared

Activity by Year

2018-2018 · peak 2/yr

Co-Author Collaboration Network

5 top collaborators · 9 mutual co-author links

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2 shared papersNeuroscience

Peter H. GerjetsORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintDec 20, 2018

Using a machine learning approach to complement group level statistics in experimental psychology: A case study to reveal different levels of inhibition in a modified Flanker Task

Tanja Krumpe, Christian Scharinger, Wolfgang Rosenstiel…·Martin SpÃ¼ler

This paper uses machine learning to analyze EEG data from a modified Flanker Task, revealing three levels of inhibitory control that group-level statistics miss.

1 citation

humanelectronic health records

𝕏 PostBluesky

NeuroscienceBiological PsychologyPeer-reviewedNov 1, 2018

Unity and diversity in working memory load: Evidence for the separability of the executive functions updating and inhibition using machine learning

Tanja Krumpe, Christian Scharinger, Wolfgang Rosenstiel…·Martin Spüler

This paper uses machine learning to analyze EEG data and finds distinct and shared neural correlates for the executive functions updating and inhibition.

8 citations

electronic health recordsmachine learning (classical)

𝕏 PostBluesky