Evidence map›Paper›PMID 26888922›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2016

Cue Reliability Represented in the Shape of Tuning Curves in the Owl's Sound Localization System.

Fanny Cazettes, Brian J Fischer, Jose L Peña

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

20 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Article
  3. Neural Responses Underlying Interaural Time Difference Discrimination as a Function of Sensory Reliability in the Barn Owl.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
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  4. Review
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  6. Review
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  8. Review
  9. Article
  10. Barn Owl's Auditory Space Map Activity Matching Conditions for a Population Vector Readout to Drive Adaptive Sound-Localizing Behavior.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  11. Article
  12. Article
  13. Sound localization in barn owls studied with manipulated head-related transfer functions: beyond broadband interaural time and level differences.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2020
    Article
  14. 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
  15. Article
  16. Emergence of an Adaptive Command for Orienting Behavior in Premotor Brainstem Neurons of Barn Owls.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    Article
  17. Optimal nonlinear cue integration for sound localization.Journal of computational neuroscience · 2017
    Article
  18. Article
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  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 at 2 institutions in 1 country.

Fanny CazettesDepartment of Neuroscience, Albert Einstein College of Medicine, Bronx, New York 10461, and fanny.cazettes@phd.einstein.yu.edu.
Brian J FischerDepartment of Mathematics, Seattle University, Seattle, Washington 98122.
Jose L PeñaDepartment of Neuroscience, Albert Einstein College of Medicine, Bronx, New York 10461, and.
Albert Einstein College of Medicine · USSeattle University · US

Funding

CRCNS: Coding for optimal performances in natural environmentsR01DC012949 · NIDCD · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI FISCHER, BRIAN J, PENA, JOSE L · 2012 to 2016
$1.8M
NIDCD NIH HHS DC012949NIDCD NIH HHS R01 DC012949
6 · The paper itself

Abstract

Optimal use of sensory information requires that the brain estimates the reliability of sensory cues, but the neural correlate of cue reliability relevant for behavior is not well defined. Here, we addressed this issue by examining how the reliability of spatial cue influences neuronal responses and behavior in the owl's auditory system. We show that the firing rate and spatial selectivity changed with cue reliability due to the mechanisms generating the tuning to the sound localization cue. We found that the correlated variability among neurons strongly depended on the shape of the tuning curves. Finally, we demonstrated that the change in the neurons' selectivity was necessary and sufficient for a network of stochastic neurons to predict behavior when sensory cues were corrupted with noise. This study demonstrates that the shape of tuning curves can stand alone as a coding dimension of environmental statistics. SIGNIFICANCE STATEMENT: In natural environments, sensory cues are often corrupted by noise and are therefore unreliable. To make the best decisions, the brain must estimate the degree to which a cue can be trusted. The behaviorally relevant neural correlates of cue reliability are debated. In this study, we used the barn owl's sound localization system to address this question. We demonstrated that the mechanisms that account for spatial selectivity also explained how neural responses changed with degraded signals. This allowed for the neurons' selectivity to capture cue reliability, influencing the population readout commanding the owl's sound-orienting behavior.

Indexed as

CuesAcoustic StimulationAlgorithmsAnimalsBayes TheoremBehavior, AnimalFemaleInferior ColliculiNeuronsSound LocalizationStochastic ProcessesStrigiformesbarn owlBayesianneural codingpopulation vectorreliabilitysound localization

Identifiers

PMID26888922
PMCPMC4756150
OpenAlexW2337672077

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.