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Cortical efficient coding dynamics shape behavioral performance

View ORCID ProfileChristopher F. Angeloni, Wiktor Młynarski, View ORCID ProfileEugenio Piasini, View ORCID ProfileAaron M. Williams, View ORCID ProfileKatherine C. Wood, Linda Garami, Ann Hermundstad, View ORCID ProfileMaria N. Geffen
doi: https://doi.org/10.1101/2021.08.11.455845
Christopher F. Angeloni
1Psychology Graduate Group, University of Pennsylvania, Philadelphia, PA, USA
2Department of Otorhinolaryngology, University of Pennsylvania, Philadelphia, PA, USA
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Wiktor Młynarski
3Institute of Science and Technology Austria, Klosterneuburg, Austria
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Eugenio Piasini
4Computational Neuroscience Initiative, University of Pennsylvania, Philadelphia, PA, USA
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Aaron M. Williams
2Department of Otorhinolaryngology, University of Pennsylvania, Philadelphia, PA, USA
4Computational Neuroscience Initiative, University of Pennsylvania, Philadelphia, PA, USA
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Katherine C. Wood
2Department of Otorhinolaryngology, University of Pennsylvania, Philadelphia, PA, USA
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Linda Garami
2Department of Otorhinolaryngology, University of Pennsylvania, Philadelphia, PA, USA
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Ann Hermundstad
5Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, USA
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Maria N. Geffen
2Department of Otorhinolaryngology, University of Pennsylvania, Philadelphia, PA, USA
4Computational Neuroscience Initiative, University of Pennsylvania, Philadelphia, PA, USA
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  • For correspondence: mgeffen@pennmedicine.upenn.edu
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Abstract

The efficient coding hypothesis postulates that neurons shape their response properties to match their dynamic range to the statistics of incoming signals. However, whether and how the dynamics of efficient neuronal adaptation inform behavior has not been directly shown. Here, we trained mice to detect a target presented in background noise shortly after a change in the background contrast. The observed changes in cortical gain and detection behavior followed the predictions of a normative model of efficient cortical sound processing; specifically, target detection and sensitivity to target volume improved in low contrast backgrounds relative to high contrast backgrounds. Additionally, the time course of target detectability adapted asymmetrically depending on contrast, decreasing rapidly after a transition to high contrast, and increasing more slowly after a transition to low contrast. Auditory cortex was required for detection of targets in background noise and cortical neuronal responses exhibited the patterns of target detectability observed during behavior and in the normative model. Furthermore, variability in cortical gain predicted behavioral performance beyond the effect of stimulus-driven gain control. Combined, our results demonstrate that efficient neural codes in auditory cortex directly influence perceptual behavior.

Competing Interest Statement

The authors have declared no competing interest.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted August 11, 2021.
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Cortical efficient coding dynamics shape behavioral performance
Christopher F. Angeloni, Wiktor Młynarski, Eugenio Piasini, Aaron M. Williams, Katherine C. Wood, Linda Garami, Ann Hermundstad, Maria N. Geffen
bioRxiv 2021.08.11.455845; doi: https://doi.org/10.1101/2021.08.11.455845
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Cortical efficient coding dynamics shape behavioral performance
Christopher F. Angeloni, Wiktor Młynarski, Eugenio Piasini, Aaron M. Williams, Katherine C. Wood, Linda Garami, Ann Hermundstad, Maria N. Geffen
bioRxiv 2021.08.11.455845; doi: https://doi.org/10.1101/2021.08.11.455845

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