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Lewicki, M. S. (2002). Efficient coding of natural sounds. Nature Neuroscience, 5(4), 356–363. 
Added by: Mark Grimshaw-Aagaard (7/24/14, 11:32 AM)   
Resource type: Journal Article
Peer reviewed
DOI: 10.1038/nn831
ID no. (ISBN etc.): 1097-6256
BibTeX citation key: Lewicki2002
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Categories: General
Keywords: Neuroscience
Creators: Lewicki
Publisher: EBSCO
Collection: Nature Neuroscience
Views: 2/297
"The auditory system encodes sound by decomposing the amplitude signal arriving at the ear into multiple frequency bands whose center frequencies and bandwidths are approximately exponential functions of the distance from the stapes. This organization is thought to result from the adaptation of cochlear mechanisms to the animal's auditory environment. Here we report that several basic auditory nerve fiber tuning properties can be accounted for by adapting a population of filter shapes to encode natural sounds efficiently. The form of the code depends on sound class, resembling a Fourier transformation when optimized for animal vocalizations and a wavelet transformation when optimized for non-biological environmental sounds. Only for the combined set does the optimal code follow scaling characteristics of physiological data. These results suggest that auditory nerve fibers encode a broad set of natural sounds in a manner consistent with information theoretic principles."
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