Author

Leesa Joyce

Technical University of Munich

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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Assay:electronic health records· 2 Approach:machine learning (classical)· 2 Organism:mouse· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1

Frequent Co-Authors

Sadegh RahimiiD· 2 shared Svenja L. KreisiD· 2 shared Taro TezukaiD· 2 shared Thomas FenzliD· 2 shared André Sevenius NilseniD· 1 shared Andreas LiebiD· 1 shared Anna C. Elbs· 1 shared Armin SchmuckiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersNeuroscience

Sadegh RahimiORCID

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2 papers

Recent·Most cited

A single-channel EEG classification system for multiscale characterization of mouse vigilance state

Yazan waddah khaled Zaid, Paweł Matulewicz, Svenja L. Kreis, Thomas Fenzl, Anna C. Elbs, Leesa Joyce, Azra Durmic-Basic, Armin Schmuck, Mohadeseh Ragerdikashani, Sadegh Rahimi, Taro Tezuka

This paper develops a single-channel EEG framework for cross-animal sleep staging in mice, achieving high accuracy and preserving sleep architecture over long-term recordings.

bioRxiv · Aug 19, 2026 · PreprintNeuroscience

Characterizing Transition State in Mouse Vigilance with EEG-EMG Hypnodensity

Sadegh Rahimi, Monika Vadkertiová, Leesa Joyce, André Sevenius Nilsen, Carlo Mejia, Svenja L. Kreis, Andreas Lieb, Taro Tezuka, Matteo Cesari, Thomas Fenzl

This paper characterizes vigilance-state transitions in mice using EEG-EMG data and validates a machine learning approach to detect transition midpoints.

SLEEP Advances · Jan 1, 2026Peer-reviewedNeuroscience