Dynamic Reweighting of Auditory Modulation Filters.

ABSTRACT: Sound waveforms convey information largely via amplitude modulations (AM). A large body of experimental evidence has provided support for a modulation (bandpass) filterbank. Details of this model have varied over time partly reflecting different experimental conditions and diverse datasets from distinct task strategies, contributing uncertainty to the bandwidth measurements and leaving important issues unresolved. We adopt here a solely data-driven measurement approach in which we first demonstrate how different models can be subsumed within a common 'cascade' framework, and then proceed to characterize the cascade via system identification analysis using a single stimulus/task specification and hence stable task rules largely unconstrained by any model or parameters. Observers were requir

SUBMITTER: Joosten ER 

PROVIDER: S-EPMC4939963 | biostudies-literature | 2016 Jul

REPOSITORIES: biostudies-literature