title: 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 required to detect a brief change in level superimposed onto random level changes that served as AM noise; the relationship between trial-by-trial noisy fluctuations and corresponding human responses enables targeted identification of distinct cascade elements. The resulting measurements exhibit a dynamic complex picture in which human perception of auditory modulations appears adaptive in nature, evolving from an initial lowpass to bandpass modes (with broad tuning, Q∼1) following repeated stimulus exposure.
authors.affiliation: Laboratoire Psychologie de la Perception (CNRS UMR 8242) and Université Paris Descartes, Sorbonne Paris Cité, Paris, France.
authors.forename: Eva R M
authors.initials: ER
authors.lastname: Joosten
authors.affiliation: Laboratoire des Systèmes Perceptifs (CNRS UMR 8248) and Département d'études cognitives, Ecole Normale Supérieure, PSL Research University, Paris, France.|Department of Electrical and Computer Engineering, Institute for Systems Research, University of Maryland, College Park, Maryland, United States of America.
authors.forename: Shihab A
authors.initials: SA
authors.lastname: Shamma
authors.affiliation: Laboratoire des Systèmes Perceptifs (CNRS UMR 8248) and Département d'études cognitives, Ecole Normale Supérieure, PSL Research University, Paris, France.
authors.forename: Christian
authors.initials: C
authors.lastname: Lorenzi
authors.affiliation: Laboratoire des Systèmes Perceptifs (CNRS UMR 8248) and Département d'études cognitives, Ecole Normale Supérieure, PSL Research University, Paris, France.
authors.forename: Peter
authors.initials: P
authors.lastname: Neri
mesh_terms: D000328:Adult; D001306:Auditory Pathways / Q000502:physiology*; D001307:Auditory Perception / Q000502:physiology*; D019295:Computational Biology; D006801:Humans; D009622:Noise; D013647:Task Performance and Analysis; D055815:Young Adult