Evidence map›Paper›PMID 28381487›Full record

ArticleJournal of neurophysiology2017

Neural coding of time-varying interaural time differences and time-varying amplitude in the inferior colliculus.

Nathaniel Zuk, Bertrand Delgutte

Abstract read
In one paragraph

Article in Journal of neurophysiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Pitch of Harmonic Complex Tones: Rate Coding of Envelope Repetition Rate in the Auditory Midbrain.Acta acustica united with acustica : the journal of the European Acoustics Association (EEIG)
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Nathaniel ZukEaton-Peabody Laboratories, Massachusetts Eye and Ear, Boston, Massachusetts.ORCID 0000-0002-2466-6718
Bertrand DelgutteEaton-Peabody Laboratories, Massachusetts Eye and Ear, Boston, Massachusetts; bertrand_delgutte@meei.harvard.edu.

Funding

TRAINING FOR SPEECH AND HEARING SCIENCEST32DC000038 · NIDCD · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Gwenaelle S Geleoc · 1992 to 2026
$21.8M
Imaging Core PlanP30DC005209 · NIDCD · MASSACHUSETTS EYE AND EAR INFIRMARY · PI LIBERMAN, M. CHARLES · 2002 to 2016
$12.0M
NEURAL CODING OF SPEECHR01DC002258 · NIDCD · MASSACHUSETTS EYE AND EAR INFIRMARY · PI DELGUTTE, BERTRAND · 1995 to 2022
$8.0M
NIDCD NIH HHS P30 DC005209NIDCD NIH HHS R01 DC002258NIDCD NIH HHS T32 DC000038
6 · The paper itself

Abstract

Binaural cues occurring in natural environments are frequently time varying, either from the motion of a sound source or through interactions between the cues produced by multiple sources. Yet, a broad understanding of how the auditory system processes dynamic binaural cues is still lacking. In the current study, we directly compared neural responses in the inferior colliculus (IC) of unanesthetized rabbits to broadband noise with time-varying interaural time differences (ITD) with responses to noise with sinusoidal amplitude modulation (SAM) over a wide range of modulation frequencies. On the basis of prior research, we hypothesized that the IC, one of the first stages to exhibit tuning of firing rate to modulation frequency, might use a common mechanism to encode time-varying information in general. Instead, we found weaker temporal coding for dynamic ITD compared with amplitude modulation and stronger effects of adaptation for amplitude modulation. The differences in temporal coding of dynamic ITD compared with SAM at the single-neuron level could be a neural correlate of "binaural sluggishness," the inability to perceive fluctuations in time-varying binaural cues at high modulation frequencies, for which a physiological explanation has so far remained elusive. At ITD-variation frequencies of 64 Hz and above, where a temporal code was less effective, noise with a dynamic ITD could still be distinguished from noise with a constant ITD through differences in average firing rate in many neurons, suggesting a frequency-dependent tradeoff between rate and temporal coding of time-varying binaural information.

Indexed as

Acoustic StimulationAction PotentialsAnimalsAuditory PerceptionInferior ColliculiMicroelectrodesModels, NeurologicalNeuronsRabbitsROC CurveTime Factorsamplitude modulationauditory motionbinaural sluggishnessinferior colliculusreverberation

Identifiers

PMID28381487
PMCPMC5511866

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.