Author

Parsa Seyfourian

University of British ColumbiaORCID 0000-0003-0744-3886Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Organism:mouse· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Christof Koch AiD· 2 shared Irene RembadoiD· 2 shared Leslie D. ClaariD· 2 shared Lydia C. MarksiD· 2 shared Yasmeen NahasiD· 2 shared David G WyrickiD· 1 shared Davide MomiiD· 1 shared Diego A. PizzagalliiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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2 shared papersNeuroscience

Christof Koch AORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintSep 7, 2026

✦ In-depth digest

Brain-wide reconfiguration of burst firing by psilocybin reveals 5-HT2A-dependent circuit dynamics

Davide Momi, Yasmeen Nahas, David G Wyrick…·Irene Rembado

In awake mice, psilocybin changed burst firing rather than mean firing rate across thalamus and hippocampus. Ketanserin pretreatment abolished most burst effects, but EEG power and firing-rate changes persisted.

1 citation

mouseelectronic health records

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NeuroscienceJournal of Neuroscience MethodsPeer-reviewedJul 4, 2026

Pupil-DLC: an open-source deep learning pipeline for scalable, marker-less tracking of pupil dynamics across conscious and unconscious states

Parsa Seyfourian, Lydia C. Marks, Leslie D. Claar…·Irene Rembado

Pupil-DLC is a deep learning pipeline for tracking pupil dynamics in mice and humans, showing high accuracy across various conditions and states.

DOI 10.1016/j.jneumeth.2026.110848

mousehuman

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