Author

Nicholas Ouassil

University of California, BerkeleyORCID 0000-0002-4970-4514Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Markita Patricia LandryiD· 1 shared Sarah J. YangiD· 1 shared Siamak K. SorooshyariiD· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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1 shared paperNeuroscience

Markita Patricia LandryORCID

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1 paper

Recent·Most cited

NeuroscienceACS Chemical NeurosciencePeer-reviewedJun 2, 2023

Identifying Neural Signatures of Dopamine Signaling with Machine Learning

Siamak K. Sorooshyari, Nicholas Ouassil, Sarah J. Yang, Markita Patricia Landry

This study uses machine learning to distinguish dopamine modulation features between neuroanatomical regions and stimulation strengths in adult animals, finding unique predictive features not detectable by conventional analysis.

9 citations

mouseelectronic health records

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