Evidence map›Paper›PMID 25505332›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2014

The neural representation of interaural time differences in gerbils is transformed from midbrain to cortex.

Lucile A C Belliveau, Dmitry R Lyamzin, Nicholas A Lesica

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Review
  2. Article
  3. Distinct Inhibitory Neurons Differently Shape Neuronal Codes for Sound Intensity in the Auditory Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    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. Article
  8. Article
  9. Synthesis of Hemispheric ITD Tuning from the Readout of a Neural Map: Commonalities of Proposed Coding Schemes in Birds and Mammals.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
    Article
  10. Article
  11. Article
  12. Article
  13. Neural Processing of Acoustic and Electric Interaural Time Differences in Normal-Hearing Gerbils.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    Article
  14. Article
  15. The Encoding of Sound Source Elevation in the Human Auditory Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    Article
  16. Article
  17. Evidence for cue-independent spatial representation in the human auditory cortex during active listening.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  18. 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
  19. Neural Correlates of the Binaural Masking Level Difference in Human Frequency-Following Responses.Journal of the Association for Research in Otolaryngology : JARO · 2017
    Article
  20. 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

3 authors.

Lucile A C BelliveauEar Institute, University College London, London WC1E 6BT, United Kingdom and Graduate School of Systemic Neurosciences, Ludwig-Maximilians-University Munich, 80802 Munich, Germany.
Dmitry R LyamzinEar Institute, University College London, London WC1E 6BT, United Kingdom and Graduate School of Systemic Neurosciences, Ludwig-Maximilians-University Munich, 80802 Munich, Germany.
Nicholas A LesicaEar Institute, University College London, London WC1E 6BT, United Kingdom and n.lesica@ucl.ac.uk.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Interaural time differences (ITDs) are the dominant cue for the localization of low-frequency sounds. While much is known about the processing of ITDs in the auditory brainstem and midbrain, there have been relatively few studies of ITD processing in auditory cortex. In this study, we compared the neural representation of ITDs in the inferior colliculus (IC) and primary auditory cortex (A1) of gerbils. Our IC results were largely consistent with previous studies, with most cells responding maximally to ITDs that correspond to the contralateral edge of the physiological range. In A1, however, we found that preferred ITDs were distributed evenly throughout the physiological range without any contralateral bias. This difference in the distribution of preferred ITDs in IC and A1 had a major impact on the coding of ITDs at the population level: while a labeled-line decoder that considered the tuning of individual cells performed well on both IC and A1 responses, a two-channel decoder based on the overall activity in each hemisphere performed poorly on A1 responses relative to either labeled-line decoding of A1 responses or two-channel decoding of IC responses. These results suggest that the neural representation of ITDs in gerbils is transformed from IC to A1 and have important implications for how spatial location may be combined with other acoustic features for the analysis of complex auditory scenes.

Indexed as

Acoustic StimulationAnimalsAuditory CortexAuditory PathwaysGerbillinaeMaleMesencephalonNeuronsSound LocalizationTime Factorsauditory cortexinferior colliculusinteraural time differencespopulation codingspatial hearing

Identifiers

PMID25505332
PMCPMC4261102

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.