Framing Spatial Hearing within the Free Energy Principle: A Hierarchical Model of Perceptual Learning
Spatial hearing relies on dynamic internal representations to decode spatial information from ever-changing acoustic conditions.
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Key points
- A fundamental example is sound localisation, where listeners infer the direction of an invisible sound.
- We characterise how listeners' beliefs evolve across trials, in which they estimated sound direction and received subsequent visual feedback on each trial.
- Listeners are described by a hierarchical generative model where visual feedback drives gradient descent on VFE, updating beliefs over three independent quantities: lateral and polar localisation precisions and hemifield disambiguation.
- This work establishes spatial hearing as a tractable domain for FEP and motivates future closed-loop experiments with full action-perception cycles.
Sources (1)
- [1]Framing Spatial Hearing within the Free Energy Principle: A Hierarchical Model of Perceptual LearningarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 16, 09:32 AM
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 sound.
Extractive summary: sentences quoted from the sources.