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    Título
    Adaptation to Noise in Human Speech Recognition Unrelated to the Medial Olivocochlear Reflex
    Autor(es)
    Marrufo Pérez, Miriam IsabelUSAL authority ORCID
    Eustaquio Martín, María AlmudenaUSAL authority ORCID
    López Poveda, Enrique A.USAL authority ORCID
    Palabras clave
    adaptation
    cochlear implant
    envelope
    medial olivocochlear reflex
    olivocochlear efferents
    temporal fine structure
    Clasificación UNESCO
    3213.05 Cirugía de Garganta, Nariz y Oídos
    2490 Neurociencias
    Fecha de publicación
    2018-03-28
    Resumen
    Sensory systems constantly adapt their responses to the current environment. In hearing, adaptation may facilitate communication in noisy settings, a benefit frequently (but controversially) attributed to the medial olivocochlear reflex (MOCR) enhancing the neural representation of speech. Here, we show that human listeners (N 14; five male) recognize more words presented monaurally in ipsilateral, contralateral, and bilateral noise when they are given some time to adapt to the noise. This finding challenges models and theories that claim that speech intelligibility in noise is invariant over time. In addition, we show that this adaptation to the noise occurs also for words processed to maintain the slow-amplitude modulations in speech (the envelope) disregarding the faster fluctuations (the temporal fine structure). This demonstrates that noise adaptation reflects an enhancement of amplitude modulation speech cues and is unaffected by temporal fine structure cues. Last, we show that cochlear implant users (N 7; four male) show normal monaural adaptation to ipsilateral noise. Because the electrical stimulation delivered by cochlear implants is independent from the MOCR, this demonstrates that noise adaptation does not require the MOCR. We argue that noise adaptation probably reflects adaptation of the dynamic range of auditory neurons to the noise level statistics.
    URI
    https://hdl.handle.net/10366/154983
    ISSN
    0270-6474
    DOI
    10.1523/JNEUROSCI.0024-18.2018
    Versión del editor
    https://doi.org/10.1523/JNEUROSCI.0024-18.2018
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    • INCyL. Unidad de Excelencia iBRAINS-IN-CyL [141]
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