Samuel S.-H. Wang

First name

Samuel S.-H.

Last name

Wang

Zhang, Yan, Márton Rózsa, Yajie Liang, Daniel Bushey, Ziqiang Wei, Jihong Zheng, Daniel Reep, et al. (2021) 2021. “Fast and Sensitive GCaMP Calcium Indicators for Imaging Neural Populations”. BioRxiv. doi:10.1101/2021.11.08.467793.

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Verpeut, Jessica L., Silke Bergeler, Mikhail Kislin, William Townes, Ugne Klibaite, Zahra M. Dhanerawala, Austin Hoag, et al. (2022) 2022. “Cerebellar Contributions to a Brainwide Network for Flexible Behavior”. BioRxiv. doi:10.1101/2021.12.07.471685.

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Oostland, Marlies, Mikhail Kislin, Yuhang Chen, Tiffany Chen, Sarah Jo Venditto, Ben Deverett, and Samuel S.-H. Wang. (2022) 2022. “Cerebellar Acceleration of Learning in an Evidence-Accumulation Task”. BioRxiv. doi:10.1101/2021.12.23.474034.

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Chen, Xiaoying, Yanhua Du, Gerard Broussard, Mikhail Kislin, Carla Yuede, Shuwei Zhang, Sabine Dietmann, et al. (2022) 2022. “Transcriptomic Mapping Uncovers Purkinje Neuron Plasticity Driving Learning.”. Nature 605 (7911): 722-27. doi:10.1038/s41586-022-04711-3.

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Pereira, Talmo, Nathaniel Tabris, Arie Matsliah, David Turner, Junyu Li, Shruthi Ravindranath, Eleni Papadoyannis, et al. (2022) 2022. “SLEAP: A Deep Learning System for Multi-Animal Pose Tracking.”. Nature Methods 19 (4): 486-95. doi:10.1038/s41592-022-01426-1.

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Pisano, Thomas, Austin Hoag, Zahra Dhanerawala, Sara Guariglia, Caroline Jung, Henk-Jan Boele, Kelly Seagraves, Jessica Verpeut, and Samuel S.-H. Wang. (2022) 2022. “Automated High-Throughput Mouse Transsynaptic Viral Tracing Using IDISCO+ Tissue Clearing, Light-Sheet Microscopy, and BrainPipe.”. STAR Protocols 3 (2): 101289. doi:10.1016/j.xpro.2022.101289.

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Klibaite, Ugne, Mikhail Kislin, Jessica Verpeut, Silke Bergeler, Xiaoting Sun, Joshua Shaevitz, and Samuel S.-H. Wang. (2022) 2022. “Deep Phenotyping Reveals Movement Phenotypes in Mouse Neurodevelopmental Models.”. Molecular Autism 13 (1): 12. doi:10.1186/s13229-022-00492-8.

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Broussard, Gerard, Mikhail Kislin, Caroline Jung, and Samuel S.-H. Wang. (2022) 2022. “A Flexible Platform for Monitoring Cerebellum-Dependent Sensory Associative Learning.”. Journal of Visualized Experiments : JoVE, no. 179. doi:10.3791/63205.

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Zanin, Juan, Jessica Verpeut, Ying Li, Michael Shiflett, Samuel S.-H. Wang, Viji Santhakumar, and Wilma Friedman. (2019) 2019. “The p75NTR Influences Cerebellar Circuit Development and Adult Behavior via Regulation of Cell Cycle Duration of Granule Cell Progenitors.”. The Journal of Neuroscience : The Official Journal of the Society for Neuroscience 39 (46): 9119-29. doi:10.1523/JNEUROSCI.0990-19.2019.

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Titley, Heather, Mikhail Kislin, Dana Simmons, Samuel S.-H. Wang, and Christian Hansel. (2019) 2019. “Complex Spike Clusters and False-Positive Rejection in a Cerebellar Supervised Learning Rule.”. The Journal of Physiology 597 (16): 4387-4406. doi:10.1113/JP278502.

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Pereira, Talmo, Diego Aldarondo, Lindsay Willmore, Mikhail Kislin, Samuel S.-H. Wang, Mala Murthy, and Joshua Shaevitz. (2019) 2019. “Fast Animal Pose Estimation Using Deep Neural Networks.”. Nature Methods 16 (1): 117-25. doi:10.1038/s41592-018-0234-5.

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Marvin, Jonathan, Benjamin Scholl, Daniel Wilson, Kaspar Podgorski, Abbas Kazemipour, Johannes Müller, Susanne Schoch, et al. (2018) 2018. “Stability, Affinity, and Chromatic Variants of the Glutamate Sensor IGluSnFR.”. Nature Methods 15 (11): 936-39. doi:10.1038/s41592-018-0171-3.

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Pisano, Thomas, Zahra Dhanerawala, Mikhail Kislin, Dariya Bakshinskaya, Esteban Engel, Ethan Hansen, Austin Hoag, et al. 2021. “Homologous Organization of Cerebellar Pathways to Sensory, Motor, and Associative Forebrain”. Cell Reports 36 (12): 109721.

Reference Link
Deverett, Ben, Mikhail Kislin, David W. Tank, and Samuel S.-H. Wang. 2019. “Cerebellar Disruption Impairs Working Memory During Evidence Accumulation”. Nature Communications. Referenced from www.nature.com: Cerebellar disruption impairs working memory during evidence accumulation.

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Wittenberg, Gayle, and Samuel S.-H. Wang. (2006) 2006. “Malleability of Spike-Timing-Dependent Plasticity at the CA3-CA1 Synapse”. J Neurosci 26 (24): 6610-7. doi:10.1523/JNEUROSCI.5388-05.2006.

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