Efficient coding of natural sounds
| Autor: | Michael S. Lewicki |
|---|---|
| Rok vydání: | 2002 |
| Předmět: |
Auditory Pathways
Time Factors Computer science Speech recognition Models Neurological Population Wavelet otorhinolaryngologic diseases medicine Animals Auditory system Efficient coding hypothesis Natural sounds education Cochlear Nerve Communication education.field_of_study Fourier Analysis business.industry General Neuroscience Filter (signal processing) Cochlea Sound medicine.anatomical_structure Transformation (function) Computational auditory scene analysis Auditory Perception Regression Analysis Vocalization Animal business Neuroscience Mathematics |
| Zdroj: | Nature Neuroscience. 5:356-363 |
| ISSN: | 1546-1726 1097-6256 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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