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微秒级精度的声音定位源于缓慢的平衡动力学

Microsecond-precision sound localization emerges from slow equilibrium dynamics

Toshio Irino

arXiv 2607.03890首次发表:更新:

AI 中文总结

研究声音定位中微秒敏感性与双耳感知动态线索追踪迟缓如何共存的问题,通过将耳间时间差表示为神经群体动力学稳定平衡来建模,解释了精确耳间时间差敏感性如何从缓慢神经动力学中产生。

AI 中文摘要

精确的声音定位依赖于对耳间时间差(ITD)的微秒级敏感度,但双耳感知对动态声学线索的追踪较为迟缓。本文将ITD表示为神经群体动力学的稳定平衡,而非1948年Jeffress提出的经典位置编码框架。该模型虽依赖相对缓慢的时间动态,但实现了微秒级精度并再现关键生理观察结果。

英文摘要

Precise sound localization relies on microsecond sensitivity to interaural time differences (ITDs), yet binaural perception exhibits sluggish tracking of dynamic acoustic cues. How such extraordinary temporal precision arises despite comparatively slow neural responses remains unresolved. This study proposes that ITD is represented as a stable equilibrium of neural population dynamics rather than by the classical place-coding mechanism based on delay-line coincidence detection. In this framework, excitatory and inhibitory interactions across frequency channels drive the system toward an equilibrium corresponding to the estimated ITD. The resulting dynamics achieve microsecond-level precision and reproduce key physiological observations, including frequency-dependent best-delay distributions, without requiring explicit delay lines or precisely timed inhibition. These results challenge the classical place-coding framework and suggest a fundamentally different principle for binaural computation. More generally, the findings suggest that microsecond-level sensitivity and sluggish binaural perception may be complementary consequences of the same equilibrium dynamics, providing a potential framework for reconciling these seemingly disparate phenomena.

CommentsThis manuscript was submitted to the Journal of the Acoustical Society of America (JASA) on August 12, 2026

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