title: Efficient coding of natural sounds.
abstract: 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.
authors.affiliation: Computer Science Department and Center for the Neural Basis of Cognition, Carnegie Mellon University, 4400 Fifth Avenue, Pittsburgh, Pennsylvania 15213, USA. lewicki@cnbc.cmu.edu
authors.forename: Michael S
authors.initials: MS
authors.lastname: Lewicki
mesh_terms: D000818:Animals; D001306:Auditory Pathways / Q000502:physiology*; D001307:Auditory Perception / Q000502:physiology*; D003051:Cochlea / Q000502:physiology; D003056:Cochlear Nerve / Q000502:physiology*; D005583:Fourier Analysis; D008433:Mathematics; D008959:Models, Neurological; D012044:Regression Analysis; D013016:Sound; D013997:Time Factors; D014828:Vocalization, Animal