Models optimized for real-world tasks reveal the task-dependent necessity of precise temporal coding in hearing
Abstract Neurons encode information in the timing of their spikes in addition to their firing rates. Spike timing is particularly precise in the auditory nerve, where action potentials phase lock to sound with sub-millisecond precision, but its behavioral relevance remains uncertain. We optimized ma...
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| Format: | Article |
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Nature Portfolio
2024-12-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-024-54700-5 |
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| author | Mark R. Saddler Josh H. McDermott |
| author_facet | Mark R. Saddler Josh H. McDermott |
| author_sort | Mark R. Saddler |
| collection | DOAJ |
| description | Abstract Neurons encode information in the timing of their spikes in addition to their firing rates. Spike timing is particularly precise in the auditory nerve, where action potentials phase lock to sound with sub-millisecond precision, but its behavioral relevance remains uncertain. We optimized machine learning models to perform real-world hearing tasks with simulated cochlear input, assessing the precision of auditory nerve spike timing needed to reproduce human behavior. Models with high-fidelity phase locking exhibited more human-like sound localization and speech perception than models without, consistent with an essential role in human hearing. However, the temporal precision needed to reproduce human-like behavior varied across tasks, as did the precision that benefited real-world task performance. These effects suggest that perceptual domains incorporate phase locking to different extents depending on the demands of real-world hearing. The results illustrate how optimizing models for realistic tasks can clarify the role of candidate neural codes in perception. |
| format | Article |
| id | doaj-art-72229ba804d64a7bbf6cd757ce606ddf |
| institution | Kabale University |
| issn | 2041-1723 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj-art-72229ba804d64a7bbf6cd757ce606ddf2024-12-08T12:36:36ZengNature PortfolioNature Communications2041-17232024-12-0115112910.1038/s41467-024-54700-5Models optimized for real-world tasks reveal the task-dependent necessity of precise temporal coding in hearingMark R. Saddler0Josh H. McDermott1Department of Brain and Cognitive Sciences, MITDepartment of Brain and Cognitive Sciences, MITAbstract Neurons encode information in the timing of their spikes in addition to their firing rates. Spike timing is particularly precise in the auditory nerve, where action potentials phase lock to sound with sub-millisecond precision, but its behavioral relevance remains uncertain. We optimized machine learning models to perform real-world hearing tasks with simulated cochlear input, assessing the precision of auditory nerve spike timing needed to reproduce human behavior. Models with high-fidelity phase locking exhibited more human-like sound localization and speech perception than models without, consistent with an essential role in human hearing. However, the temporal precision needed to reproduce human-like behavior varied across tasks, as did the precision that benefited real-world task performance. These effects suggest that perceptual domains incorporate phase locking to different extents depending on the demands of real-world hearing. The results illustrate how optimizing models for realistic tasks can clarify the role of candidate neural codes in perception.https://doi.org/10.1038/s41467-024-54700-5 |
| spellingShingle | Mark R. Saddler Josh H. McDermott Models optimized for real-world tasks reveal the task-dependent necessity of precise temporal coding in hearing Nature Communications |
| title | Models optimized for real-world tasks reveal the task-dependent necessity of precise temporal coding in hearing |
| title_full | Models optimized for real-world tasks reveal the task-dependent necessity of precise temporal coding in hearing |
| title_fullStr | Models optimized for real-world tasks reveal the task-dependent necessity of precise temporal coding in hearing |
| title_full_unstemmed | Models optimized for real-world tasks reveal the task-dependent necessity of precise temporal coding in hearing |
| title_short | Models optimized for real-world tasks reveal the task-dependent necessity of precise temporal coding in hearing |
| title_sort | models optimized for real world tasks reveal the task dependent necessity of precise temporal coding in hearing |
| url | https://doi.org/10.1038/s41467-024-54700-5 |
| work_keys_str_mv | AT markrsaddler modelsoptimizedforrealworldtasksrevealthetaskdependentnecessityofprecisetemporalcodinginhearing AT joshhmcdermott modelsoptimizedforrealworldtasksrevealthetaskdependentnecessityofprecisetemporalcodinginhearing |