Author

Marietta Stegmaier

Friedrich-Alexander-Universität Erlangen-Nürnberg

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· 1

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Research Focus:benchmarking· 1 Research Focus:deconvolution· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Alina SchülleriD· 1 shared Constantin JehniD· 1 shared Jasmin RiegeliD· 1 shared Tobias ReichenbachiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperNeuroscience

Alina SchüllerORCID

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1 paper

Recent·Most cited

Deep Learning Reveals Cross-Modal Neural Representations of Auditory and Visual Mental Imagery in MEG

Alina Schüller, Constantin Jehn, Marietta Stegmaier, Jasmin Riegel, Tobias Reichenbach

This study uses MEG and machine learning to decode auditory and visual mental imagery, showing deep learning models can capture cross-modal neural representations even from non-task-relevant regions.

Journal of Neurophysiology · Jul 7, 2026Peer-reviewedNeuroscience