title: Power-law dynamics in an auditory-nerve model can account for neural adaptation to sound-level statistics.
abstract: Neurons in the auditory system respond to recent stimulus-level history by adapting their response functions according to the statistics of the stimulus, partially alleviating the so-called "dynamic-range problem." However, the mechanism and source of this adaptation along the auditory pathway remain unknown. Inclusion of power-law dynamics in a phenomenological model of the inner hair cell (IHC)-auditory nerve (AN) synapse successfully explained neural adaptation to sound-level statistics, including the time course of adaptation of the mean firing rate and changes in the dynamic range observed in AN responses. A direct comparison between model responses to a dynamic stimulus and to an "inversely gated" static background suggested that AN dynamic-range adaptation largely results from the adaptation produced by the response history. These results support the hypothesis that the potential mechanism underlying the dynamic-range adaptation observed at the level of the auditory nerve is located peripheral to the spike generation mechanism and central to the IHC receptor potential.
authors.affiliation: Department of Biomedical Engineering, University of Rochester, Rochester, New York 14642, USA. msazilany@gmail.com
authors.forename: Muhammad S A
authors.initials: MS
authors.lastname: Zilany
authors.forename: Laurel H
authors.initials: LH
authors.lastname: Carney
mesh_terms: D001306:Auditory Pathways / Q000502:physiology*; D001307:Auditory Perception / Q000502:physiology*; D001309:Auditory Threshold / Q000502:physiology; D003056:Cochlear Nerve / Q000502:physiology*; D003198:Computer Simulation; D008959:Models, Neurological; D013016:Sound