ArticleJournal of the Association for Research in Otolaryngology : JARO2022
Firing Rate Adaptation of the Human Auditory Nerve Optimizes Neural Signal-to-Noise Ratios.
Article in Journal of the Association for Research in Otolaryngology : JARO, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Auditory brainstem mechanisms likely compensate for self-imposed peripheral inhibition.Scientific reports · 2023Article
- Minimum Detectable Differences in Electrocochleography Measurements: Bayesian-Based Predictions.Journal of the Association for Research in Otolaryngology : JARO · 2023Article
- Computational modeling of the human compound action potential.The Journal of the Acoustical Society of America · 2023Article
- Middle ear muscle and medial olivocochlear activity inferred from individual human ears via cochlear potentials.The Journal of the Acoustical Society of America · 2023Article
- Temporal Envelope Coding of the Human Auditory Nerve Inferred from Electrocochleography: Comparison with Envelope Following Responses.Journal of the Association for Research in Otolaryngology : JARO · 2022Article
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Authors and funding
2 authors at 1 institution in 1 country.
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Abstract
Several physiological mechanisms act on the response of the auditory nerve (AN) during acoustic stimulation, resulting in an adjustment in auditory gain. These mechanisms include-but are not limited to-firing rate adaptation, dynamic range adaptation, the middle ear muscle reflex, and the medial olivocochlear reflex. A potential role of these mechanisms is to improve the neural signal-to-noise ratio (SNR) at the output of the AN in real time. This study tested the hypothesis that neural SNRs, inferred from non-invasive assessment of the human AN, improve over the duration of acoustic stimulation. Cochlear potentials were measured in response to a series of six high-level clicks embedded in a series of six lower-level broadband noise bursts. This paradigm elicited a compound action potential (CAP) in response to each click and to the onset of each noise burst. The ratio of CAP amplitudes elicited by each click and noise burst pair (i.e., neural SNR) was tracked over the six click/noise bursts. The main finding was a rapid (< 24 ms) increase in neural SNR from the first to the second click/noise burst, consistent with a real-time adjustment in the response of the auditory periphery toward improving the SNR of the signal transmitted to the brainstem. Analysis of cochlear microphonic and ear canal sound pressure recordings, as well as the time course for this improvement in neural SNR, supports the conclusion that firing rate adaptation is likely the primary mechanism responsible for improving neural SNR, while dynamic range adaptation, the middle ear muscle reflex, and the medial olivocochlear reflex played a secondary role on the effects observed in this study. Real-time improvements in neural SNR are significant because they may be essential for robust encoding of speech and other relevant stimuli in the presence of background noise.
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