Liam Paninski
Affiliations: | Columbia University, New York, NY |
Area:
Computation & TheoryWebsite:
http://www.stat.columbia.edu/~liam/Google:
"Liam Paninski"Mean distance: 13.26 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentorJohn P. Donoghue | research assistant | Brown | ||
Eero P. Simoncelli | grad student | 2002-2003 | Columbia | |
(Some rigorous results on the neural coding problem.) | ||||
Eero P. Simoncelli | post-doc | 2003-2003 | NYU |
Children
Sign in to add traineeShenghao Wu | research assistant | 2016-2018 | |
Aneesh Kashalikar | research assistant | 2020-2021 | Columbia |
Tim Machado | grad student | Columbia | |
Estefany Kelly Buchanan | grad student | 2018- | Columbia |
Sean Escola | grad student | 2008 | Columbia |
Gary S. Escola | grad student | 2009 | Columbia |
Kamiar RahnamaRad | grad student | 2006-2011 | Columbia |
Alexandro D. Ramirez | grad student | 2012 | Columbia |
Carl Smith | grad student | 2013 | Columbia |
Maxim Nikitchenko | grad student | 2007-2013 | Columbia |
David B. Pfau | grad student | 2008-2015 | Columbia |
Gonzalo E. Mena | grad student | 2012-2017 | Columbia |
Yashar Ahmadian | post-doc | Columbia | |
Quentin Huys | post-doc | UCL, Columbia University | |
Scott W Linderman | post-doc | Columbia | |
Pengcheng Zhou | post-doc | 2017- | |
Anqi Wu | post-doc | 2019- | Columbia |
Eizaburo Doi | post-doc | 2007-2011 | NYU |
Uygar Sumbul | post-doc | 2014-2017 | Columbia |
Logan Grosenick | post-doc | 2015-2020 | Columbia |
Ari Pakman | research scientist |
Collaborators
Sign in to add collaboratorE. J. Chichilnisky | collaborator | NYU | |
Kianoush Nazarpour | collaborator | 2009- | Columbia |
Dawen Cai | collaborator | 2015-2016 |
BETA: Related publications
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Publications
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Biderman D, Whiteway MR, Hurwitz C, et al. (2023) Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling, and cloud-native open-source tools. Biorxiv : the Preprint Server For Biology |
Abe T, Kinsella I, Saxena S, et al. (2022) Neuroscience Cloud Analysis As a Service: An open-source platform for scalable, reproducible data analysis. Neuron |
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 |
Whiteway MR, Biderman D, Friedman Y, et al. (2021) Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders. Plos Computational Biology. 17: e1009439 |
Kim YJ, Brackbill N, Batty E, et al. (2021) Nonlinear Decoding of Natural Images From Large-Scale Primate Retinal Ganglion Recordings. Neural Computation. 33: 1719-1750 |
Couto J, Musall S, Sun XR, et al. (2021) Chronic, cortex-wide imaging of specific cell populations during behavior. Nature Protocols |
Yemini E, Lin A, Nejatbakhsh A, et al. (2020) NeuroPAL: A Multicolor Atlas for Whole-Brain Neuronal Identification in C. elegans. Cell |
Saxena S, Kinsella I, Musall S, et al. (2020) Localized semi-nonnegative matrix factorization (LocaNMF) of widefield calcium imaging data. Plos Computational Biology. 16: e1007791 |
Lu R, Liang Y, Meng G, et al. (2020) Rapid mesoscale volumetric imaging of neural activity with synaptic resolution. Nature Methods |