Publications

Grace E. Paquelet, Kassandra Carrion, Clay O. Lacefield, Pengcheng Zhou, René Hen, Bradley R. Miller (2022). Single-Cell Activity and Network Properties of Dorsal Raphe Nucleus Serotonin Neurons during Emotionally Salient Behaviors. Neuron.

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Nicholas L. Turner, Thomas Macrina, J. Alexander Bae, Runzhe Yang, Alyssa M. Wilson, Casey Schneider-Mizell, Kisuk Lee, Ran Lu, Jingpeng Wu, Agnes L. Bodor, Adam A. Bleckert, Derrick Brittain, Emmanouil Froudarakis, Sven Dorkenwald, Forrest Collman, Nico Kemnitz, Dodam Ih, William M. Silversmith, Jonathan Zung, Aleksandar Zlateski, Ignacio Tartavull, Szi-chieh Yu, Sergiy Popovych, Shang Mu, William Wong, Chris S. Jordan, Manuel Castro, JoAnn Buchanan, Daniel J. Bumbarger, Marc Takeno, Russel Torres, Gayathri Mahalingam, Leila Elabbady, Yang Li, Erick Cobos, Pengcheng Zhou, Shelby Suckow, Lynne Becker, Liam Paninski, Franck Polleux, Jacob Reimer, Andreas S. Tolias, R. Clay Reid, Nuno Maçarico da Costa, H. Sebastian Seung (2022). Reconstruction of neocortex: Organelles, compartments, cells, circuits, and activity. Cell.

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Shuonan Chen, Jackson Loper, Pengcheng Zhou, Liam Paninski (2022). Blind demixing methods for recovering dense neuronal morphology from barcode imaging data. PLoS Computational Biology.

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R. Lu, Y. Liang, G. Meng, P. Zhou, N. Ji (2020). Rapid mesoscale volumetric imaging of neural activity with synaptic resolution. Nature Methods.

Yanjun Sun, Suoqin Jin, Xiaoxiao Lin, Lujia Chen, Xin Qiao, Li Jiang, Pengcheng Zhou, Kevin G. Johnston, Peyman Golshani, Qing Nie, Todd C. Holmes, Douglas A. Nitz, Xiangmin Xu (2019). CA1-projecting subiculum neurons facilitate object-place learning. Nature Neuroscience.

Yenson Lau, Qing Qu, Han-Wen Kuo, Pengcheng Zhou, Yuqian Zhang, John Wright (2019). Short-and-Sparse Deconvolution – A Geometric Approach. arXiv.

Andrea Giovannucci, Johannes Friedrich, Pat Gunn, Jérémie Kalfon, Brandon L. Brown, Sue Ann Koay, Jiannis Taxidis, Farzaneh Najafi, Jeffrey L. Gauthier, Pengcheng Zhou, Baljit S. Khakh, David W. Tank, Dmitri B. Chklovskii, Eftychios A. Pnevmatikakis (2019). CaImAn an open source tool for scalable calcium imaging data analysis.

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Xue-Xin Wei, Ding Zhou, Andres Grosmark, Zaki Ajabi, Fraser Sparks, Pengcheng Zhou, Mark Brandon, Attila Losonczy, Liam Paninski (2019). A zero-inflated gamma model for deconvolved calcium imaging traces. Neurons, Behavior, Data analysis, and Theory.

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Pengcheng Zhou, Shanna L. Resendez, Jose Rodriguez-Romaguera, Jessica C. Jimenez, Shay Q. Neufeld, Andrea Giovannucci, Johannes Friedrich, Eftychios A Pnevmatikakis, Garret D. Stuber, René Hen, Mazen A. Kheirbek, Bernardo L. Sabatini, Robert E. Kass, Liam Paninski (2018). Efficient and Accurate Extraction of in Vivo Calcium Signals from Microendoscopic Video Data. eLife.

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E. K. Buchanan, I. Kinsella, D. Zhou, R. Zhu, P. Zhou, F. Gerhard, J. Ferrante, Y. Ma, S. Kim, M. Shaik (2018). Penalized matrix decomposition for denoising, compression, and improved demixing of functional imaging data.

Jessica C. Jimenez, Katy Su, Alexander R. Goldberg, Victor M. Luna, Jeremy S. Biane, Gokhan Ordek, Pengcheng Zhou, Samantha K. Ong, Matthew A. Wright, Larry Zweifel, Liam Paninski, René Hen, Mazen A. Kheirbek (2018). Anxiety Cells in a Hippocampal-Hypothalamic Circuit. Neuron.

Andreas Klaus, Gabriela J. Martins, Vitor B. Paixao, Pengcheng Zhou, Liam Paninski, Rui M. Costa (2017). The Spatiotemporal Organization of the Striatum Encodes Action Space. Neuron.

Kai Yu, Sandra Ahrens, Xian Zhang, Hillary Schiff, Charu Ramakrishnan, Lief Fenno, Karl Deisseroth, Fei Zhao, Min-Hua Luo, Ling Gong, Miao He, Pengcheng Zhou, Liam Paninski, Bo Li (2017). The central amygdala controls learning in the lateral amygdala. Nature Neuroscience.

Johannes Friedrich, Pengcheng Zhou, Liam Paninski (2017). Fast online deconvolution of calcium imaging data. PLOS Computational Biology.

Pengcheng Zhou (2016). Computational Tools for Identification and Analysis of Neuronal Population Activity.

Pengcheng, Zhou, D Shawn, Burton, C Adam, Snyder, A Matthew, Smith, N Nathaniel, Urban (2015). Establishing a Statistical Link between Network Oscillations and Neural Synchrony.. PLoS computational biology.

Pengcheng Zhou, Shawn D Burton, Nathaniel N Urban, G Bard Ermentrout (2013). Impact of neuronal heterogeneity on correlated colored noise-induced synchronization. Frontiers in Computational Neuroscience.

James G. Scott, Ryan C. Kelly, Matthew A. Smith, Robert E. Kass (2013). False Discovery Rate Regression: An Application to Neural Synchrony Detection in Primary Visual Cortex. Journal of the American Statistical Association.