Author

Fabian M. Renz

Universität Hamburg

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Amalia McDonald· 1 shared Amelie HauggiD· 1 shared Andrew A. NicholsoniD· 1 shared Benjamin BeckeriD· 1 shared Bettina SorgeriD· 1 shared Catharina ZichiD· 1 shared Christian F. DoelleriD· 1 shared Cindy Sumaly LoriD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperNeuroscience

Amalia McDonald

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintJan 16, 2026

Neural replay is connected to latent cause inference and supports fast generalization

Fabian M. Renz, Shany Grossman, Nathaniel D. Daw…·Nicolas W. Schuck

The paper investigates how neural replay relates to latent cause inference and supports fast generalization in a value-based task with shared rewards.

1 citation

humanimaging

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