Sound Research WIKINDX
Sound Research WIKINDX |
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Lewicki, M. S. (2002). Efficient coding of natural sounds. Nature Neuroscience, 5(4), 356–363. Added by: Mark Grimshaw-Aagaard (24/07/2014, 11:32) |
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| Resource type: Journal Article Peer reviewed DOI: 10.1038/nn831 ID no. (ISBN etc.): 1097-6256 BibTeX citation key: Lewicki2002 Email resource to friend View all bibliographic details  |
Categories: General Keywords: Neuroscience Creators: Lewicki Publisher: EBSCO Collection: Nature Neuroscience |
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| Abstract |
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"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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