Bayesian Modeling and Classification of Neural Signals. - Michael S. Lewicki (Neural Comput., 1994)

Bayesian Unsupervised Learning of Higher Order Structure. - Michael S. Lewicki; Terrence J. Sejnowski (NIPS, 1996)

Inferring Sparse, Overcomplete Image Codes Using an Efficient Coding Framework. - Michael S. Lewicki; Bruno A. Olshausen (NIPS, 1997)

Learning Nonlinear Overcomplete Representations for Efficient Coding. - Michael S. Lewicki; Terrence J. Sejnowski (NIPS, 1997)

Unsupervised Classification with Non-Gaussian Mixture Models Using ICA. - Te-Won Lee; Michael S. Lewicki; Terrence J. Sejnowski (NIPS, 1998)

Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations. - Michael S. Lewicki; Terrence J. Sejnowski (NIPS, 1998)

Blind source separation of more sources than mixtures using overcomplete representations. - Te-Won Lee; Michael S. Lewicki; Mark A. Girolami; Terrence J. Sejnowski (IEEE Signal Process. Lett., 1999)

Learning Sparse Image Codes using a Wavelet Pyramid Architecture. - Bruno A. Olshausen; Phil Sallee; Michael S. Lewicki (NIPS, 2000)

Learning Overcomplete Representations. - Michael S. Lewicki; Terrence J. Sejnowski (Neural Comput., 2000)

ICA Mixture Models for Unsupervised Classification of Non-Gaussian Classes and Automatic Context Switching in Blind Signal Separation. - Te-Won Lee; Michael S. Lewicki; Terrence J. Sejnowski (IEEE Trans. Pattern Anal. Mach. Intell., 2000)

A Model for Learning Variance Components of Natural Images. - Yan Karklin; Michael S. Lewicki (NIPS, 2002)

Unsupervised image classification, segmentation, and enhancement using ICA mixture models. - Te-Won Lee; Michael S. Lewicki (IEEE Trans. Image Process., 2002)

Sparse Coding of Natural Images Using an Overcomplete Set of Limited Capacity Units. - Eizaburo Doi; Michael S. Lewicki (NIPS, 2004)

Learning Efficient Auditory Codes Using Spikes Predicts Cochlear Filters. - Evan C. Smith; Michael S. Lewicki (NIPS, 2004)

A Theoretical Analysis of Robust Coding over Noisy Overcomplete Channels. - Eizaburo Doi; Doru-Cristian Balcan; Michael S. Lewicki (NIPS, 2005)

Is Early Vision Optimized for Extracting Higher-order Dependencies? - Yan Karklin; Michael S. Lewicki (NIPS, 2005)

A Hierarchical Bayesian Model for Learning Nonlinear Statistical Regularities in Nonstationary Natural Signals. - Yan Karklin; Michael S. Lewicki (Neural Comput., 2005)

Efficient Coding of Time-Relative Structure Using Spikes. - Evan Smith; Michael S. Lewicki (Neural Comput., 2005)

A Theory of Retinal Population Coding. - Eizaburo Doi; Michael S. Lewicki (NIPS, 2006)

Robust Coding Over Noisy Overcomplete Channels. - Eizaburo Doi; Doru-Cristian Balcan; Michael S. Lewicki (IEEE Trans. Image Process., 2007)

Adaptive coding of images via multiresolution ICA. - Doru-Cristian Balcan; Michael S. Lewicki (ICASSP, 2009)

Characterization of Minimum Error Linear Coding with Sensory and Neural Noise. - Eizaburo Doi; Michael S. Lewicki (Neural Comput., 2011)

A Simple Model of Optimal Population Coding for Sensory Systems. - Eizaburo Doi; Michael S. Lewicki (PLoS Comput. Biol., 2014)