Author

Jasmin L. Walter

Osnabrück UniversityORCID 0000-0002-5364-7778Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:imaging· 4 Approach:graph neural network· 2 Research Focus:spatial domain detection· 2 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Approach:statistical model· 1

Frequent Co-Authors

Peter König BiD· 4 shared Debora NolteiD· 2 shared Sabine U. KönigiD· 2 shared Vincent SchmidtiD· 2 shared Jonas SchereriD· 1 shared Lane von Bassewitz· 1 shared Lucas Essmann· 1 shared Martin M. MülleriD· 1 shared

Activity by Year

2022-2026 · peak 3/yr

Co-Author Collaboration Network

9 top collaborators · 19 mutual co-author links

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4 shared papersNeuroscience

Peter König BORCID

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4 papers

Recent·Most cited

Gaze Graphs in spatial navigation: visual behavior during free exploration explains individual differences in navigation performance

Jasmin L. Walter, Vincent Schmidt, Sabine U. König, Peter König B

This study uses gaze graphs from eye-tracking data during virtual reality exploration to identify predictors of individual differences in spatial navigation performance.

Frontiers in Virtual Reality · Sep 17, 2026Peer-reviewedNeuroscience

Linking visual and spatial exploration dynamics during free navigation in a large-scale virtual city

Vincent Schmidt, Debora Nolte, Jasmin L. Walter, Tracy Sánchez Pacheco, Peter König B

The paper investigates the relationship between visual sampling and spatial navigation in a virtual city, finding a strong coupling between locomotion and gaze dynamics.

bioRxiv · Apr 8, 2026 · PreprintNeuroscience

Mobile Eye Tracking in the Real World: Best Practices

Debora Nolte, Jasmin L. Walter, Lane von Bassewitz, Jonas Scherer, Martin M. Müller, Peter König B

This paper demonstrates a mobile eye-tracking study in an urban environment and provides best practices for naturalistic human behavior research.

Journal of Vision · Feb 11, 2026Peer-reviewedNeuroscience

Finding landmarks - An investigation of viewing behavior during spatial navigation in VR using a graph-theoretical analysis approach

Jasmin L. Walter, Lucas Essmann, Sabine U. König, Peter König B

This paper introduces a graph-theoretical method to analyze eye tracking data in VR to identify and assess the function of landmarks in spatial navigation.

PLoS Computational Biology · Jun 6, 2022Peer-reviewedNeuroscience