Author

Marietta Stegmaier

Friedrich-Alexander-Universität Erlangen-Nürnberg

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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

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

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2026-2026 · peak 1/yr

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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

NeuroscienceJournal of NeurophysiologyPeer-reviewedJul 7, 2026

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

Alina Schüller, Constantin Jehn, Marietta Stegmaier…·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.

DOI 10.1152/jn.00563.2025

humanelectronic health records

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