Author

Shahrzad Latifi

West Virginia UniversityORCID 0000-0002-1035-0974Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell-cell communication· 2 Assay:imaging· 2 Organism:mouse· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Genchang PengiD· 1 shared Jonathan Chang· 1 shared Mehdi Pedram· 1 shared Nurullah Sati· 1 shared Roshanak Latifikhereshki· 1 shared Stanley Thomas CarmichaeliD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 7 mutual co-author links

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1 shared paperNeuroscience

Genchang PengORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintMar 31, 2026

Deriving functional network topology from in vivo two-photon calcium imaging: state-dependent graph features in mouse mesoscale motor cortical network

Genchang Peng, Nurullah Sati, Shahrzad Latifi

The paper analyzes functional network topology in mouse motor cortex using two-photon calcium imaging across behavioral states, revealing state-dependent changes in network structure.

DOI 10.64898/2026.03.27.714836

mouseimaging

𝕏 PostBluesky

NeurosciencebioRxivPreprintJan 30, 2024

Supervised deep machine learning models predict forelimb movement from excitatory neuronal ensembles and suggest distinct pattern of activity in CFA and RFA networks

Shahrzad Latifi, Jonathan Chang, Mehdi Pedram…·Stanley Thomas Carmichael

The paper uses supervised deep learning models to decode forelimb movement from neuronal ensembles in CFA and RFA, finding distinct activity patterns between the two areas.

DOI 10.1101/2024.01.30.577967

mouseimaging

𝕏 PostBluesky