Author

Rebekka Rupprecht

Sick (Germany)

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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Approach:deep learning· 2 Assay:electronic health records· 2 Research Focus:benchmarking· 1 Organism:human· 1

Frequent Co-Authors

Jürgen KornmeieriD· 2 shared Ludger Tebartz van ElstiD· 2 shared Lukas HeckeriD· 2 shared Moritz MaschkeiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersNeuroscience

Jürgen KornmeierORCID

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2 papers

Recent·Most cited

Evaluation of Long-Short Term Memory Networks for M/EEG Source Imaging with Simulated and Real EEG Data

Lukas Hecker, Moritz Maschke, Rebekka Rupprecht, Ludger Tebartz van Elst, Jürgen Kornmeier

This paper evaluates LSTM networks for M/EEG source imaging using simulated and real EEG data, finding higher accuracy compared to classical methods and alternative architectures.

bioRxiv · Apr 13, 2022 · PreprintNeuroscience

ConvDip: A convolutional neural network for better M/EEG Source Imaging

Lukas Hecker, Rebekka Rupprecht, Ludger Tebartz van Elst, Jürgen Kornmeier

ConvDip is a convolutional neural network that solves the EEG inverse problem using a distributed dipole model, outperforming existing methods in accuracy and efficiency.

Frontiers in Neuroscience · Jun 9, 2021Peer-reviewedNeuroscience