Author

Guanhua Sun

University of MichiganORCID 0000-0002-3710-2807Unclaimed 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· 3 Assay:spatial transcriptomics· 2 Approach:statistical model· 2 Research Focus:trajectory inference· 2 Research Focus:cell type annotation· 1 Assay:electronic health records· 1 Approach:experimental assay· 1

Frequent Co-Authors

Daniel B. ForgeriD· 3 shared James HazeldeniD· 2 shared Ruby KimiD· 2 shared Alex Rosi‐AnderseniD· 1 shared Alvin Li· 1 shared Hiroki R. UedaiD· 1 shared Koji L. OdeiD· 1 shared Konstantinos KompotisiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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3 shared papersNeuroscience

Daniel B. ForgerORCID

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3 papers

Recent·Most cited

Realistic coupling enables flexible macroscopic traveling waves in the mouse cortex

Guanhua Sun, James Hazelden, Ruby Kim, Daniel B. Forger

The paper shows that realistic cortical connectivity generates more macroscopic traveling waves than artificial connectivity in the mouse cortex, particularly in theta, alpha, and beta frequency bands.

eLife · Sep 4, 2026Peer-reviewedNeuroscience

Whole-cortex simulation reveals spatiotemporal patterns emerging from the interplay of network connectivity and intracellular dynamics

Guanhua Sun, James Hazelden, Ruby Kim, Daniel B. Forger

The paper simulates a whole-cortex mouse brain model to show how network connectivity and intracellular dynamics generate spatiotemporal patterns observed in experiments.

bioRxiv · Jan 10, 2024 · PreprintNeuroscience

A Framework to Determine Active Connectivity within the Mouse Brain

Guanhua Sun, Tomoyuki Mano, Shoi Shi, Alvin Li, Koji L. Ode, Alex Rosi‐Andersen, Steven A. Brown, Hiroki R. Ueda, Konstantinos Kompotis, Daniel B. Forger

The paper develops a framework to determine active connectivity in the mouse brain by combining experimental and computational methods to identify the most active neural networks during different times of the day.

bioRxiv · Dec 27, 2023 · PreprintNeuroscience