Author

Andrew A. Nicholson

University of ViennaORCID 0000-0002-9483-5628Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Amalia McDonald· 1 shared Amelie HauggiD· 1 shared Benjamin BeckeriD· 1 shared Bettina SorgeriD· 1 shared Catharina ZichiD· 1 shared Cindy Sumaly LoriD· 1 shared David SteyrliD· 1 shared Dimitri Van De VilleiD· 1 shared

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2020-2020 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Amalia McDonald

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1 paper

Recent·Most cited

NeurosciencebioRxivPreprintOct 21, 2020

Determinants of Real-Time fMRI Neurofeedback Performance and Improvement: a Machine Learning Mega-Analysis

Amelie Haugg, Fabian M. Renz, Andrew A. Nicholson…·David Steyrl

This study uses machine learning to analyze 608 participants and identifies two factors improving neurofeedback performance: pre-training no-feedback runs and training patients over healthy participants.

5 citations

machine learning (classical)benchmarking

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