Author

Marlies Oostland

Princeton UniversityORCID 0000-0001-9474-4040Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:mouse· 3 Research Focus:cell type annotation· 2 Assay:electronic health records· 2 Approach:deep learning· 1 Approach:experimental assay· 1 Approach:statistical model· 1

Frequent Co-Authors

Ben DeverettiD· 2 shared Agoston LajkoiD· 1 shared Álvaro Sánchez‐LópeziD· 1 shared Beverley A. ClarkiD· 1 shared Chen, Yuhang· 1 shared Court HulliD· 1 shared Dana CoheniD· 1 shared David J. HerzfeldiD· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersNeuroscience

Ben DeverettORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Cerebellar acceleration of learning in an evidence-accumulation task

Marlies Oostland, Mikhail Kislin, Chen, Yuhang, Tiffany Chen, Sarah Jo C Venditto, Samuel S.H. Wang, Ben Deverett

The paper shows that cerebellar perturbations in mice lead to faster learning in a sensory evidence-accumulation task, linked to enhanced focus on current trials and altered neocortical activity.

Cell Reports · Apr 1, 2026Peer-reviewedNeuroscience

A deep-learning strategy to identify cell types across species from high-density extracellular recordings

Maxime Beau, David J. Herzfeld, Francisco Naveros, Marie E. Hemelt, Federico D’Agostino, Marlies Oostland, Álvaro Sánchez‐López, Young Yoon Chung, Michael Maibach, Stephen Kyranakis, Hannah Stabb, M. Gabriela Martínez Lopera, Agoston Lajko, Marie Zedler, Shogo Ohmae, , Javier F. Medina

This paper develops a deep-learning classifier to identify cell types from extracellular recordings across species with over 95% accuracy.

Cell · Feb 28, 2025Peer-reviewedNeuroscience

A cerebellar role in evidence-guided decision-making

Ben Deverett, Sue Ann Koay, Marlies Oostland, Samuel S.‐H. Wang

This study shows that the lateral posterior cerebellum contributes to perceptual decision-making by encoding choice and evidence-related variables, with dendritic calcium spikes linked to decision errors.

bioRxiv · Jun 11, 2018 · PreprintNeuroscience