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Plos Computational Biology|April 8, 2022
Blind demixing methods for recovering dense neuronal morphology from barcode imaging dataShuonan Chen, Jackson Loper, Pengcheng Zhou, et al.Plos Computational Biology|March 8, 2021
BARcode DEmixing through Non-negative Spatial Regression (BarDensr)Shuonan Chen, Jackson Loper, Xiaoyin Chen, et al.Plos Computational Biology|March 15, 2017
Fast online deconvolution of calcium imaging dataJohannes Friedrich, Pengcheng Zhou, Liam PaninskiProceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)|June 30, 2023
MULTIMODAL MICROSCOPY IMAGE ALIGNMENT USING SPATIAL AND SHAPE INFORMATION AND A BRANCH-AND-BOUND ALGORITHMShuonan Chen, Bovey Y Rao, Stephanie Herrlinger, et al.Neural Computation|May 20, 2005
Asymptotic theory of information-theoretic experimental designLiam PaninskiNeural Computation|September 27, 2006
The spike-triggered average of the integrate-and-fire cell driven by gaussian white noiseLiam PaninskiJournal of Computational Neuroscience|November 28, 2009
Fast Kalman filtering on quasilinear dendritic treesLiam PaninskiJournal of Computational Neuroscience|April 25, 2006
The most likely voltage path and large deviations approximations for integrate-and-fire neuronsLiam PaninskiNetwork (Bristol, England)|December 17, 2004
Maximum likelihood estimation of cascade point-process neural encoding modelsLiam PaninskiNetwork (Bristol, England)|August 27, 2003
Convergence properties of three spike-triggered analysis techniquesLiam PaninskiPageof 36