Author

Miriam Ben‐Hamo

University of WashingtonORCID 0000-0002-4879-3658Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Horacio O. de la IglesiaiD· 2 shared Alexandra F. NeitziD· 1 shared Asad I. BeckiD· 1 shared Bingni W. BruntoniD· 1 shared Carlos S. Caldart· 1 shared Franck K. KalumeiD· 1 shared Ivana L. BussiiD· 1 shared Jazmine G. Perez· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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2 shared papersNeuroscience

Horacio O. de la IglesiaORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

The circadian molecular clock in the suprachiasmatic nucleus is necessary but not sufficient for fear entrainment in the mouse

Ivana L. Bussi, Miriam Ben‐Hamo, Luis E. Salazar Leon, Leandro Pablo Casiraghi, Victor Y. Zhang, Alexandra F. Neitz, Jeffrey D. Lee, Joseph S. Takahashi, Jeansok John Kim, Horacio O. de la Iglesia

The paper shows that the molecular clock in the SCN is necessary but not sufficient for fear entrainment in mice, leading to mistimed circadian behavior.

Proceedings of the National Academy of Sciences · Mar 19, 2024Peer-reviewedNeuroscience

Sleep Identification Enabled by Supervised Training Algorithms (SIESTA): An open-source platform for automatic sleep staging of rodent polysomnographic data

Carlos S. Caldart, Raymond E.A. Sanchez, Miriam Ben‐Hamo, Asad I. Beck, Tenley A. Weil, Jazmine G. Perez, Franck K. Kalume, Bingni W. Brunton, Horacio O. de la Iglesia

SIESTA automates sleep staging in rodents using machine learning, achieving high F1 scores for wakefulness, REM, and NREM sleep stages.

bioRxiv · Jul 6, 2020 · PreprintNeuroscience