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Journal of Computational Neuroscience|March 23, 2012
A Bayesian compressed-sensing approach for reconstructing neural connectivity from subsampled anatomical dataYuriy Mishchenko, Liam PaninskiNeural 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 PaninskiJournal of Neuroscience Methods|February 1, 2011
Reconstruction of complete connectivity matrix for connectomics by sampling neural connectivity with fluorescent synaptic markersYuriy MishchenkoJournal of Computational Neuroscience|August 13, 2016
Consistent estimation of complete neuronal connectivity in large neuronal populations using sparse "shotgun" neuronal activity samplingYuriy MishchenkoPageof 15