Author

Annika Wollmann

OTH Regensburg

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

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Markus GoldhackeriD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

1 paper

Recent·Most cited

EEG Microstate Sequences as Potential Brain-Computer Interface Triggers Derived from Motor Imagery Classification

Annika Wollmann, Markus Goldhacker

This study explores using EEG microstate sequences as BCI triggers for motor imagery classification, achieving 89% accuracy with transfer learning and requiring ~400s for calibration.

bioRxiv · Aug 23, 2026 · PreprintNeuroscience