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Pengcheng Zhou

Affiliations: 
2006-2011 Physics University of Science and Technology of China, Hefei Shi, Anhui Sheng, China 
 2011-2016 CNBC and Machine Learning Carnegie Mellon University, Pittsburgh, PA 
 2017-2020 Statistics Columbia University, New York, NY 
 2020- Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences 
Area:
computational neuroscience, machine learning
Website:
zhoupc.github.io
Google:
"https://scholar.google.com/citations?user=hw0JvzAAAAAJ&hl=en"
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Parents

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Guo-Qiang Bi research assistant 2009-2011
Robert E. Kass grad student 2011-2016
Liam Paninski post-doc 2017-

Children

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Publications

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Pasarkar A, Kinsella I, Zhou P, et al. (2023) maskNMF: A denoise-sparsen-detect approach for extracting neural signals from dense imaging data. Biorxiv : the Preprint Server For Biology
Chen S, Loper J, Zhou P, et al. (2022) Blind demixing methods for recovering dense neuronal morphology from barcode imaging data. Plos Computational Biology. 18: e1009991
Turner NL, Macrina T, Bae JA, et al. (2022) Reconstruction of neocortex: Organelles, compartments, cells, circuits, and activity. Cell
Lu R, Liang Y, Meng G, et al. (2020) Rapid mesoscale volumetric imaging of neural activity with synaptic resolution. Nature Methods
Sun Y, Jin S, Lin X, et al. (2019) CA1-projecting subiculum neurons facilitate object-place learning. Nature Neuroscience
Giovannucci A, Friedrich J, Gunn P, et al. (2019) CaImAn an open source tool for scalable calcium imaging data analysis. Elife. 8
Zhou P, Resendez SL, Rodriguez-Romaguera J, et al. (2018) Efficient and accurate extraction ofcalcium signals from microendoscopic video data. Elife. 7
Jimenez JC, Su K, Goldberg AR, et al. (2018) Anxiety Cells in a Hippocampal-Hypothalamic Circuit. Neuron
Giovannucci A, Friedrich J, Gunn P, et al. (2018) Author response: CaImAn an open source tool for scalable calcium imaging data analysis Elife
Zhou P, Resendez SL, Rodriguez-Romaguera J, et al. (2018) Author response: Efficient and accurate extraction of in vivo calcium signals from microendoscopic video data Elife
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