Author

Stefan Häusler

Bernstein Center for Computational Neuroscience MunichORCID 0000-0003-0772-8662Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Dina von WerderiD· 1 shared Josephine Henke· 1 shared Kay ThurleyiD· 1 shared Raven BunkiD· 1 shared Virginia L. FlanaginiD· 1 shared

Activity by Year

2021-2024 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperNeuroscience

Dina von WerderORCID

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2 papers

Recent·Most cited

Systems BiologyCommunications BiologyPeer-reviewedJun 3, 2024

Correlations reveal the hierarchical organization of networks with latent binary variables

Stefan Häusler

The paper introduces a statistical method to infer hidden hierarchical structures in biological networks using correlations of observable components.

1 citation

statistical modelbenchmarking

𝕏 PostBluesky

NeuroscienceeLifePeer-reviewedDec 22, 2021

Distributed coding of stimulus magnitude in rodent prefrontal cortex

Josephine Henke, Raven Bunk, Dina von Werder…·Kay Thurley

This study investigates magnitude estimation in gerbils, showing primate-like characteristics and identifying neural mechanisms in the prefrontal cortex that encode the regression effect.

29 citations

mouseelectronic health records

𝕏 PostBluesky