Projects per year
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Dive into the research topics where Samuel Sheng-Hung Wang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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A web-based framework for multi-modal visualization and annotation of neuroanatomical data
9/16/21 → 9/14/24
Project: Research project
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ADAPTIVE CEREBELLAR PROCESSING AT CELLULAR RESOLUTION IN FLEXIBLE BEHAVIOR
7/15/20 → 4/30/25
Project: Research project
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Mapping cerebellar granule cell function with novel genetic and optical tools
9/17/19 → 9/16/22
Project: Research project
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Cerebellar Determinants of Flexible and Social Behavior on Rapid Time Scales in Autism Model Mice.
9/15/17 → 6/30/23
Project: Research project
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Cerebellar Contributions to Reward Prediction and Decision-Making
9/15/17 → 6/30/19
Project: Research project
Research output
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A Flexible Platform for Monitoring Cerebellum-Dependent Sensory Associative Learning
Broussard, G. J., Kislin, M., Jung, C. & Wang, S. S. H., Jan 19 2022, In: Journal of visualized experiments : JoVE. 179Research output: Contribution to journal › Article › peer-review
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Automated high-throughput mouse transsynaptic viral tracing using iDISCO+ tissue clearing, light-sheet microscopy, and BrainPipe
Pisano, T. J., Hoag, A. T., Dhanerawala, Z. M., Guariglia, S. R., Jung, C., Boele, H. J., Seagraves, K. M., Verpeut, J. L. & Wang, S. S. H., Jun 17 2022, In: STAR Protocols. 3, 2, 101289.Research output: Contribution to journal › Article › peer-review
Open Access -
Deep phenotyping reveals movement phenotypes in mouse neurodevelopmental models
Klibaite, U., Kislin, M., Verpeut, J. L., Bergeler, S., Sun, X., Shaevitz, J. W. & Wang, S. S. H., Dec 2022, In: Molecular Autism. 13, 1, 12.Research output: Contribution to journal › Article › peer-review
Open Access -
Imaging Neuronal Activity in Cerebellar Cortex of Behaving Mice
Kislin, M., Broussard, G. J., Deverett, B. & Wang, S. S. H., 2022, Neuromethods. Humana Press Inc., p. 245-269 25 p. (Neuromethods; vol. 177).Research output: Chapter in Book/Report/Conference proceeding › Chapter
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SLEAP: A deep learning system for multi-animal pose tracking
Pereira, T. D., Tabris, N., Matsliah, A., Turner, D. M., Li, J., Ravindranath, S., Papadoyannis, E. S., Normand, E., Deutsch, D. S., Wang, Z. Y., McKenzie-Smith, G. C., Mitelut, C. C., Castro, M. D., D’Uva, J., Kislin, M., Sanes, D. H., Kocher, S. D., Wang, S. S. H., Falkner, A. L., Shaevitz, J. W. & 1 others, , Apr 2022, In: Nature Methods. 19, 4, p. 486-495 10 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations