See Google Scholar for a complete list of publications.

Journals

  1. Lu, R., Liang, Y., Meng, G., Zhou, P., Svoboda, K., Paninski, L. and Ji, N., 2020. Rapid mesoscale volumetric imaging of neural activity with synaptic resolution. Nature Methods, pp.1-4.

  2. Sun, Y., Jin, S., Lin, X., Chen, L., Qiao, X., Jiang, L., Zhou, P., Johnston, K.G., Golshani, P., Nie, Q. and Holmes, T.C., 2019. CA1-projecting subiculum neurons facilitate object–place learning. Nature neuroscience, pp.1-19.

  3. Giovannucci, A., Friedrich, J., Gunn, P., Kalfon, J., Brown, B.L., Koay, S.A., Taxidis, J., Najafi, F., Gauthier, J.L., Zhou, P., Khakh, B.S., Tank, D.W., Chklovskii D.B., and Pnevmatikakis, E.A., 2019. CaImAn an open source tool for scalable calcium imaging data analysis. eLife, 8, p.e38173.

  4. Zhou, P., Resendez, S.L., Rodriguez-Romaguera, J., Jimenez, J.C., Neufeld, S.Q., Giovannucci, A., Friedrich, J., Pnevmatikakis, E.A., Stuber, G.D., Hen, R., Kheirbek, M.A., Sabatini, B.L., Kass, R.E. and Paninski L., 2018. Efficient and accurate extraction of in vivo calcium signals from microendoscopic video data. eLife, 7, p.e28728.

    (highlighted by Nature Methods , Apr 27, 2018)

  5. Jimenez, J.C., Su, K., Goldberg, A.R., Luna, V.M., Biane, J.S., Ordek, G., Zhou, P., Ong, S.K., Wright, M.A., Zweifel, L. and Paninski, L., 2018. Anxiety Cells in a Hippocampal-Hypothalamic Circuit. Neuron.

  6. Yu, K., Ahrens, S., Zhang, X., Schiff, H., Ramakrishnan, C., Fenno, L., Deisseroth, K., Zhao, F., Luo, M.H., Gong, L., He, M., Zhou P., Paninski L. and Li B., 2017. The central amygdala controls learning in the lateral amygdala. Nature neuroscience, 20(12), p.1680.

  7. Klaus, A., Martins, G.J., Paixao, V.B., Zhou, P., Paninski, L. and Costa, R.M., 2017. The spatiotemporal organization of the striatum encodes action space. Neuron, 95(5), pp.1171-1180.

  8. Friedrich, J., Zhou, P. and Paninski, L., 2017. Fast online deconvolution of calcium imaging data. PLoS computational biology, 13(3), p.e1005423.

  9. Zhou, P., Burton, S.D., Snyder, A.C., Smith, M.A., Urban, N.N. and Kass, R.E., 2015. Establishing a statistical link between network oscillations and neural synchrony. PLoS computational biology, 11(10), p.e1004549.

  10. Scott, J.G., Kelly, R.C., Smith, M.A., Zhou, P. and Kass, R.E., 2015. False discovery rate regression: an application to neural synchrony detection in primary visual cortex. Journal of the American Statistical Association, 110(510), pp.459-471.

  11. Zhou, P., Burton, S., Urban, N. and Ermentrout, G.B., 2013. Impact of neuronal heterogeneity on correlated colored noise-induced synchronization. Frontiers in computational neuroscience, 7, p.113.

Conferences

  1. Zhou, P., Reimer, J., Zhou, D., Pasarkar A., Kinsella I., Froudarakis E., Yatsenko, D.V., Fahey, P.G., Costa, N., Reid R.C., Tolias A.S., Paninski, L. EASE: EM-Assisted Source Extraction from calcium imaging data (Cosyne2020, poster II-22).
  2. Lau, Y., Qu, Q., Kuo, H.W., Zhou, P., Zhang, Y. and Wright, J., 2019. Short-and-Sparse Deconvolution–A Geometric Approach. arXiv preprint arXiv:1908.10959. (accepted by ICLR2020)
  3. Buchanan E.K., Friedrich J, Kinsella I., Stinson P., Zhou P., Gerhard F., Ferrante J., Dempsey G., Paninski L., Constrained matrix factorization methods for denoising and demixing voltage imaging data, Columbia University (Cosyne2018, III-62).
  4. Friedrich J., Zhou P., Paninski L., Fast active set methods for online deconvolution of calcium imaging data. (Cosyne2017, poster I-100)

Preprints

  1. Zhou, P., Reimer, J., Zhou, D., Pasarkar, A., Kinsella, I.A., Froudarakis, E., Yatsenko, D., Fahey, P., Bodor, A., Buchanan, J. and Bumbarger, D.J., 2020. EASE: EM-Assisted Source Extraction from calcium imaging data. bioRxiv.

  2. Wei, X.X., Zhou, D., Grosmark, A., Ajabi, Z., Sparks, F., Zhou, P., Brandon, M., Losonczy, A. and Paninski, L., 2019. A zero-inflated gamma model for post-deconvolved calcium imaging traces. bioRxiv, p.637652.

  3. Giovannucci, A., Friedrich, J., Gunn, P., Kalfon, J., Koay, S.A., Taxidis, J., Najafi, F., Gauthier, J.L., Zhou, P., Tank, D.W. and Chklovskii, D.B., 2018. CaImAn: An open source tool for scalable Calcium Imaging data Analysis. bioRxiv, p.339564. (accepted by eLife 2019)
  4. Buchanan, E.K., Kinsella, I., Zhou, D., Zhu, R., Zhou, P., Gerhard, F., Ferrante, J., Ma, Y., Kim, S., Shaik, M. and Liang, Y., 2018. Penalized matrix decomposition for denoising, compression, and improved demixing of functional imaging data. bioRxiv, p.334706.
  5. Zhou, P., Resendez, S.L., Stuber, G.D., Kass, R.E. and Paninski, L., 2016. Efficient and accurate extraction of in vivo calcium signals from microendoscopic video data. arXiv preprint arXiv:1605.07266*. (accepted by eLife, 2018, )