English(EN) Framing Spatial Hearing within the Free Energy Principle: A Hierarchical Model of Perceptual Learning

新模型在自由能原理下构建空间听觉

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-19 04:00

研究人员开发了一个分层生成模型，在自由能原理（FEP）的框架下构建空间听觉。该模型描述了听者关于声音方向的信念如何基于视觉反馈而演变，更新他们对侧向和极向定位精度以及半视野消歧的估计。研究表明，FEP可应用于空间听觉，揭示了不同感知成分的学习动力学，并为未来的闭环实验提供了建议。 AI

影响为听觉感知和学习建模建立了新框架，可能影响未来音频处理和人机交互领域的人工智能研究。

排序理由详细介绍空间听觉新计算模型的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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arXiv cs.AI TIER_1 English(EN) · Roberto Barumerli, Nils Meyer-Kahlen, Lorenzo Picinali · 2026-10-19 04:00

在自由能原理框架下理解空间听觉：一个感知学习的层级模型

arXiv:2610.23196v1 Announce Type: cross Abstract: Spatial hearing relies on dynamic internal representations to decode spatial information from ever-changing acoustic conditions. A fundamental example is sound localisation, where listeners infer the direction of an invisible soun…