Michael S. Lewicki

According to our database, Michael S. Lewicki authored at least 23 papers between 1994 and 2014.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2014

A Simple Model of Optimal Population Coding for Sensory Systems.

Eizaburo Doi, Michael S. Lewicki

PLoS Comput. Biol., 2014

2011

Characterization of Minimum Error Linear Coding with Sensory and Neural Noise.

Eizaburo Doi, Michael S. Lewicki

Neural Comput., 2011

2009

Adaptive coding of images via multiresolution ICA.

Doru-Cristian Balcan, Michael S. Lewicki

Proceedings of the IEEE International Conference on Acoustics, 2009

2007

Robust Coding Over Noisy Overcomplete Channels.

Eizaburo Doi, Doru-Cristian Balcan, Michael S. Lewicki

IEEE Trans. Image Process., 2007

2006

A Theory of Retinal Population Coding.

Eizaburo Doi, Michael S. Lewicki

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

2005

Efficient Coding of Time-Relative Structure Using Spikes.

Evan Smith, Michael S. Lewicki

Neural Comput., 2005

A Hierarchical Bayesian Model for Learning Nonlinear Statistical Regularities in Nonstationary Natural Signals.

Yan Karklin, Michael S. Lewicki

Neural Comput., 2005

Is Early Vision Optimized for Extracting Higher-order Dependencies?

Yan Karklin, Michael S. Lewicki

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

A Theoretical Analysis of Robust Coding over Noisy Overcomplete Channels.

Eizaburo Doi, Doru-Cristian Balcan, Michael S. Lewicki

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004

Learning Efficient Auditory Codes Using Spikes Predicts Cochlear Filters.

Evan C. Smith, Michael S. Lewicki

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Sparse Coding of Natural Images Using an Overcomplete Set of Limited Capacity Units.

Eizaburo Doi, Michael S. Lewicki

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2002

Unsupervised image classification, segmentation, and enhancement using ICA mixture models.

Te-Won Lee, Michael S. Lewicki

IEEE Trans. Image Process., 2002

A Model for Learning Variance Components of Natural Images.

Yan Karklin, Michael S. Lewicki

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

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

Learning Overcomplete Representations.

Michael S. Lewicki, Terrence J. Sejnowski

Neural Comput., 2000

Learning Sparse Image Codes using a Wavelet Pyramid Architecture.

Bruno A. Olshausen, Phil Sallee, Michael S. Lewicki

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999

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

1998

Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations.

Michael S. Lewicki, Terrence J. Sejnowski

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Unsupervised Classification with Non-Gaussian Mixture Models Using ICA.

Te-Won Lee, Michael S. Lewicki, Terrence J. Sejnowski

Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1997

Learning Nonlinear Overcomplete Representations for Efficient Coding.

Michael S. Lewicki, Terrence J. Sejnowski

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Inferring Sparse, Overcomplete Image Codes Using an Efficient Coding Framework.

Michael S. Lewicki, Bruno A. Olshausen

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

1996

Bayesian Unsupervised Learning of Higher Order Structure.

Michael S. Lewicki, Terrence J. Sejnowski

Proceedings of the Advances in Neural Information Processing Systems 9, 1996

1994

Bayesian Modeling and Classification of Neural Signals.

Michael S. Lewicki

Neural Comput., 1994