Author

Emmanuel Ponsot

Centre National de la Recherche ScientifiqueORCID 0000-0002-8748-505XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Organism:human· 1

Frequent Co-Authors

Christian LorenziiD· 1 shared Elza DaoudiD· 1 shared Ingeborg J. M. DhoogeiD· 1 shared Jean‐Julien AucouturieriD· 1 shared Juan José BurrediD· 1 shared Léo VarnetiD· 1 shared Louise GoupiliD· 1 shared Marco LiuniiD· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 13 mutual co-author links

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1 shared paperNeuroscience

Christian LorenziORCID

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3 papers

Recent·Most cited

NeuroscienceJournal of the Association for Research in OtolaryngologyPeer-reviewedApr 21, 2025

Age-related decline in neural phase-locking to envelope and temporal fine structure revealed by frequency following responses: A potential signature of cochlear synaptopathy impairing speech intelligibility

Emmanuel Ponsot, Pauline Devolder, Ingeborg J. M. Dhooge, Sarah Verhulst

This study shows that age-related declines in neural phase-locking to both envelope and temporal fine structure, measured via FFRs, are linked to cochlear synaptopathy but not speech intelligibility.

13 citationstop 2%

humanelectronic health records

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NeuroscienceTrends in HearingPeer-reviewedJan 1, 2021

Mechanisms of spectrotemporal modulation detection for normal- and hearing-impaired listeners

Emmanuel Ponsot, Léo Varnet, Nicolas Wallaert…·Peter Neri

This study investigates how normal-hearing and hearing-impaired listeners detect spectrotemporal modulations using a psychophysical reverse-correlation framework and finds comparable non-linear processing strategies with differences in temporal modulation tuning.

13 citations

statistical model

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NeurosciencePLoS ONEPeer-reviewedApr 4, 2019

CLEESE: An open-source audio-transformation toolbox for data-driven experiments in speech and music cognition

Juan José Burred, Emmanuel Ponsot, Louise Goupil…·Jean‐Julien Aucouturier

CLEESE is an open-source audio-transformation toolbox that randomizes prosody/melody in speech and music recordings to study cognitive processing.

32 citations

experimental assay

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