Cue reliability represented in the shape of tuning curves in the owl’s sound localization system

Fanny Cazettes, Brian J. Fischer, Jose L. Pena

Research output: Contribution to journalArticle

11 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)2101-2110
Number of pages10
JournalJournal of Neuroscience
Volume36
Issue number7
DOIs
StatePublished - Feb 17 2016

Fingerprint

Strigiformes
Sound Localization
Cues
Neurons
Noise
Brain

Keywords

  • Barn owl
  • Bayesian
  • Neural coding
  • Population vector
  • Reliability
  • Sound localization

ASJC Scopus subject areas

  • Neuroscience(all)

Cite this

Cue reliability represented in the shape of tuning curves in the owl’s sound localization system. / Cazettes, Fanny; Fischer, Brian J.; Pena, Jose L.

In: Journal of Neuroscience, Vol. 36, No. 7, 17.02.2016, p. 2101-2110.

Research output: Contribution to journalArticle

@article{8d71c675421e441d98b5e4c356293db2,
title = "Cue reliability represented in the shape of tuning curves in the owl’s sound localization system",
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.",
keywords = "Barn owl, Bayesian, Neural coding, Population vector, Reliability, Sound localization",
author = "Fanny Cazettes and Fischer, {Brian J.} and Pena, {Jose L.}",
year = "2016",
month = "2",
day = "17",
doi = "10.1523/JNEUROSCI.3753-15.2016",
language = "English (US)",
volume = "36",
pages = "2101--2110",
journal = "Journal of Neuroscience",
issn = "0270-6474",
publisher = "Society for Neuroscience",
number = "7",

}

TY - JOUR

T1 - Cue reliability represented in the shape of tuning curves in the owl’s sound localization system

AU - Cazettes, Fanny

AU - Fischer, Brian J.

AU - Pena, Jose L.

PY - 2016/2/17

Y1 - 2016/2/17

N2 - 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.

AB - 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.

KW - Barn owl

KW - Bayesian

KW - Neural coding

KW - Population vector

KW - Reliability

KW - Sound localization

UR - http://www.scopus.com/inward/record.url?scp=84958818838&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84958818838&partnerID=8YFLogxK

U2 - 10.1523/JNEUROSCI.3753-15.2016

DO - 10.1523/JNEUROSCI.3753-15.2016

M3 - Article

C2 - 26888922

AN - SCOPUS:84958818838

VL - 36

SP - 2101

EP - 2110

JO - Journal of Neuroscience

JF - Journal of Neuroscience

SN - 0270-6474

IS - 7

ER -