Evidence map›Paper›PMID 26490292›Full record

ArticleJournal of neurophysiology2016

Neural population encoding and decoding of sound source location across sound level in the rabbit inferior colliculus.

Mitchell L Day, Bertrand Delgutte

Abstract read
In one paragraph

Article in Journal of neurophysiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.7field-weighted citation impact, top 30% of its field
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

13 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Contributions of Sound Localization Cues to Azimuth Tuning in the Auditory Midbrain.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  3. Article
  4. Article
  5. Distinct Neuron Types Contribute to Hybrid Auditory Spatial Coding.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  6. Article
  7. Midbrain-Level Neural Correlates of Behavioral Tone-in-Noise Detection: Dependence on Energy and Envelope Cues.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Representation of Multidimensional Stimuli: Quantifying the Most Informative Stimulus Dimension from Neural Responses.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017
    Article
  13. 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 at 2 institutions in 1 country.

Mitchell L DayEaton-Peabody Laboratories, Massachusetts Eye and Ear, Boston, Massachusetts; and Department of Otology and Laryngology, Harvard Medical School, Boston, Massachusetts daym1@ohio.edu.
Bertrand DelgutteEaton-Peabody Laboratories, Massachusetts Eye and Ear, Boston, Massachusetts; and Department of Otology and Laryngology, Harvard Medical School, Boston, Massachusetts.
Harvard University · USMassachusetts Eye and Ear Infirmary · US

Funding

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
Neural coding of sound location under normal and impaired hearing conditionsR03DC013388 · NIDCD · OHIO UNIVERSITY ATHENS · PI DAY, MITCHELL LEE · 2014 to 2016
$468k
NIDCD NIH HHS P30 DC-005209NIDCD NIH HHS P30 DC005209NIDCD NIH HHS R01 DC-002258NIDCD NIH HHS R01 DC002258NIDCD NIH HHS R03 DC-013388NIDCD NIH HHS R03 DC013388
6 · The paper itself

Abstract

At lower levels of sensory processing, the representation of a stimulus feature in the response of a neural population can vary in complex ways across different stimulus intensities, potentially changing the amount of feature-relevant information in the response. How higher-level neural circuits could implement feature decoding computations that compensate for these intensity-dependent variations remains unclear. Here we focused on neurons in the inferior colliculus (IC) of unanesthetized rabbits, whose firing rates are sensitive to both the azimuthal position of a sound source and its sound level. We found that the azimuth tuning curves of an IC neuron at different sound levels tend to be linear transformations of each other. These transformations could either increase or decrease the mutual information between source azimuth and spike count with increasing level for individual neurons, yet population azimuthal information remained constant across the absolute sound levels tested (35, 50, and 65 dB SPL), as inferred from the performance of a maximum-likelihood neural population decoder. We harnessed evidence of level-dependent linear transformations to reduce the number of free parameters in the creation of an accurate cross-level population decoder of azimuth. Interestingly, this decoder predicts monotonic azimuth tuning curves, broadly sensitive to contralateral azimuths, in neurons at higher levels in the auditory pathway.

Indexed as

Sound LocalizationAnimalsFemaleInferior ColliculiNeuronsRabbitsazimuthinferior colliculuspopulation coderabbitsound localization

Identifiers

PMID26490292
PMCPMC4760482
OpenAlexW2265560924

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.