title: Decoding stimulus duration from neural responses in the auditory midbrain.
abstract: Neurons with responses selective for the duration of an auditory stimulus are called duration-tuned neurons (DTNs). Temporal specificity in their spiking suggests that one function of DTNs is to encode stimulus duration; however, the efficacy of duration encoding by DTNs has yet to be investigated. Herein, we characterize the information content of individual cells and a population of DTNs from the mammalian inferior colliculus (IC) by measuring the stimulus-specific information (SSI) and estimated Fisher information (FI) of spike count responses. We found that SSI was typically greatest for those stimulus durations that evoked maximum spike counts, defined as best duration (BD) stimuli, and that FI was maximal for stimulus durations off BD where sensitivity to a change in duration was greatest. Using population data, we demonstrate that a maximum likelihood estimator (MLE) can accurately decode stimulus duration from evoked spike counts. We also simulated a two-alternative forced choice task by having MLE models decide whether two durations were the same or different. With this task we measured the just-noticeable difference threshold for stimulus duration and calculated the corresponding Weber fractions across the stimulus domain. Altogether, these results demonstrate that the spiking responses of DTNs from the mammalian IC contain sufficient information for the CNS to encode, decode, and discriminate behaviorally relevant auditory signal durations.
authors.affiliation: Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, Ontario, Canada;
authors.forename: Brandon
authors.initials: B
authors.lastname: Aubie
authors.affiliation: Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, Ontario, Canada;
authors.forename: Riziq
authors.initials: R
authors.lastname: Sayegh
authors.affiliation: Department of Psychology, University of Maine, Orono, Maine; and.
authors.forename: Thane
authors.initials: T
authors.lastname: Fremouw
authors.affiliation: Department of Psychology, University of Washington, Seattle, Washington.
authors.forename: Ellen
authors.initials: E
authors.lastname: Covey
authors.affiliation: Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, Ontario, Canada; paul4@mcmaster.ca.
authors.forename: Paul A
authors.initials: PA
authors.lastname: Faure
mesh_terms: D000161:Acoustic Stimulation; D000200:Action Potentials; D000818:Animals; D001307:Auditory Perception / Q000502:physiology*; D002685:Chiroptera; D007245:Inferior Colliculi / Q000502:physiology*; D007257:Information Theory; D016013:Likelihood Functions; D009474:Neurons / Q000502:physiology*; D012815:Signal Processing, Computer-Assisted
keywords: Eptesicus fuscus; Fisher information, inferior colliculus; Weber fraction; big brown bat; just-noticeable difference; stimulus-specific information, temporal processing