Anon Photo

Michael Lewicki

Professor, Computer and Data Sciences Department
Develops theoretical models of computation and representation in sensory coding and perception
Office: 508 Olin
Phone Number: (216) 368-3168

Education

Ph.D., Computation and Neural Systems, California Institute of Technology, 1996
B.S., Math and Cognitive Science (double major), Carnegie Mellon University, 1989

Publications

Doi, E., & Lewicki, M. S. (2014). A simple model of optimal population coding for sensory systems. PLoS Computational Biology, 10 (8), 14.
DiMattina, C., Fox, S., & Lewicki, M. S. (2012). Detecting natural occlusion boundaries using local cues. J Vision, 12 (13), 15–15.
Doi, E., & Lewicki, M. S. (2011). Characterization of minimum error linear coding with sensory and neural noise.. Neural Computation, 23 (10), 2498–2510.
Karklin, Y., & Lewicki, M. S. (2009). Emergence of complex cell properties by learning to generalize in natural scenes. Nature, 457 (7225), 83–86.
Doi, E., Balcan, D., & Lewicki, M. S. (2007). Robust Coding over Noisy Overcomplete Channels. IEEE Transactions on Image Processing, 16 (2), 442-452.
Cavaco, S., & Lewicki, M. S. (2007). Statistical modeling of intrinsic structures in impact sounds. Journal of the Acoustical Society of America, 121 (6), 3558-3568.
Smith, E., & Lewicki, M. S. (2006). Efficient Auditory Coding. Nature, 439 (), 978 - 982.
Smith, E., & Lewicki, M. S. (2005). Efficient coding of time-relative structure using spikes. Neural Computation, 17 (1), 19-45.
Karklin, Y., & Lewicki, M. S. (2005). Modeling non-stationary distributions with a hierarchical density component model. Neural Computation, 17 (2), 397 - 423.
Karklin, Y., & Lewicki, M. S. (2003). Learning higher-order structures in natural images.. Network: Computation in Neural Systems, 14 (), 483-499.
Lee, T., & Lewicki, M. S. (2002). Unsupervised classification, segmentation and enhancement of images using ICA mixture models. IEEE Trans. Image Proc., 11 (3), 270-279.
Lewicki, M. S. (2002). Efficient coding of natural sounds. Nature Neuroscience, 5 (4), 356-363.
Lee, T., Lewicki, M. S., & Sejnowski, T. (2000). ICA Mixture Models for Unsupervised Classification of Non-Gaussian Sources and Automatic Context Switching in Blind Signal Separation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22 (10), 1078-1089.
Lewicki, M. S., & Sejnowski, T. (2000). Learning overcomplete representations. Neural Computation, 12 (2), 337-365.
Lewicki, M. S., & Olshausen, B. (1999). A Probabilistic Framework for the Adaptation and Comparison of Image Codes. Journal of the Optical Society of America A, 16 (7), 1587-1601.
Lewicki, M. S. (1998). A review of methods for spike sorting: the detection and classification of neural action potentials.. Network: Computation in Neural Systems, 9 (4), R53-R78.
Lewicki, M. S., & Arthur, B. (1996). Hierarchical organization of auditory context sensitivity.. J. Neurosci., 16 (21), 6987–6998.
Lewicki, M. S. (1996). Intracellular Characterization of Song-Specific Neurons in the Zebra Finch Auditory Forebrain. J. Neurosci., 16 (18), 5854–5863.
Lewicki, M. S., & Konishi, M. (1995). Mechanisms underlying the sensitivity of songbird forebrain neurons to temporal order. Proc. Natl. Acad. Sci. USA, 92 (), 5582–5586.
Lewicki, M. S. (1994). Bayesian modeling and classification of neural signals. Neural Computation, 6 (), 1005–1030.