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 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 perf

SUBMITTER: Saddler MR 

PROVIDER: S-EPMC11618365 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature