Uniform Degradation of Auditory Acuity in Subjects with Normal Hearing Leads to Unequal Precedence Effects
Notice bibliographique
Résumé
In Brief Objective: The aim of this study was to investigate whether a controlled unilateral reduction in auditory acuity at the higher audiometric frequencies would have an effect on the variability in responses obtained on a task designed to measure the precedence effect. Design: The experiment was conducted with participants located in a large sound proof, anechoic room, and psychophysical tests were conducted with long-duration noise burst stimuli. Reduction in auditory acuity was created by inserting a specially designed earplug in the ear of participants with normal hearing. The earplugs produced a highly reliable increase in the thresholds for detecting high-frequency sounds in the blocked ear with the largest effect at the highest frequencies (4 and 8 kHz). Across-participant variability in tone-detection threshold was less than ±5 dB. The measurement of lag-burst thresholds with and without the insertion of earplugs was used to characterize the precedence effect. The lag-burst threshold was defined as the shortest lag-burst delay that yielded a perception of two different noise bursts. Results: Although performance was stable across participants in the condition without the earplug, a substantial increase in variability in the lag-burst thresholds was found in the earplug condition. Conclusions: These results indicate that a uniform unilateral degradation in auditory acuity leads to increased variability in performance on tasks measuring fusion in the precedence effect. The outcome suggests that variable perception of the precedence effect by individuals with clinically diagnosed hearing loss might be due to factors other than a reduction in auditory acuity per se. We investigated whether a controlled reduction in auditory acuity, created by the insertion of specially designed earplugs in participants with normal hearing, would lead to unequal responses on a precedence effect task. The measurement of lag-burst thresholds was used to characterize the precedence effect. Participants with normal hearing were tested with and without the insertion of earplugs. Whereas performance was stable across participants in the condition without the earplug, it was highly variable under the earplug condition. These results suggest that uniformly degraded auditory acuity leads to increased variability in performance on tasks measuring fusion in the precedence effect.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».