Author

Jan P. Bremer

Leibniz Institute of Virology (LIV)

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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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

Marius S. Knorr· 2 shared Alexander MaÿeiD· 1 shared Ana Jordan-PaiziD· 1 shared Andreas Karl EngeliD· 1 shared Andrew J. HightoniD· 1 shared Angelique HölzemeriD· 1 shared Annika NiehrsiD· 1 shared Christoph SchrammiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersNeuroscience

Marius S. Knorr

Mutual co-authors in cluster

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2 papers

Recent·Most cited

The sensorimotor basis of subjective experience in social synchronization behavior

Jan P. Bremer, Marius S. Knorr, Florian Göschl, Alexander Maÿe, Andreas Karl Engel, Till R. Schneider

This study uses information-theoretic measures to quantify the sensorimotor contingencies in social synchronization tasks and links them to subjective experiences of synchronicity and creativity.

Frontiers in Virtual Reality · Nov 17, 2025Peer-reviewedNeuroscience

GOAT: Deep learning-enhanced Generalized Organoid Annotation Tool

Jan P. Bremer, Martin E. Baumdick, Marius S. Knorr, Lucy H.M. Wegner, Jasmin Wesche, Ana Jordan-Paiz, Johannes M. Jung, Andrew J. Highton, Julia Jäger, Ole Hinrichs, Sebastien Brias, Jennifer Niersch, Luisa Müller, Renée Schreurs, Tobias Koyro, , Madeleine J. Bunders

GOAT is a deep learning tool for annotating organoids from microscopy images, showing high performance across diverse organoid systems.

bioRxiv · Sep 6, 2022 · PreprintBioinformatics