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Poster Session C: Friday, August 15, 2:00 – 5:00 pm, de Brug & E‑Hall

Proprioceptive Position Inference as Velocity Integration

Erik Skjoldan Mortensen¹, Mark Schram Christensen¹; ¹Copenhagen University

Presenter: Erik Skjoldan Mortensen

We investigate proprioceptively guided inference of hand position and velocity during movement using a virtual reality (VR) experiment. Participants performed a paced continuous movement task, with visual feedback limited to a brief interval after movement onset. We demonstrate that brief visual offsets induce semi-persistent deviations in movement paths, suggesting that inferred hand position is heavily influenced by the integration of proprioceptively sensed velocity over time. To further explore this, we present a generative model based on Bayesian sensory integration and compare the movement characteristics of three distinct model versions to human data. Our findings show that combining velocity integration with position sampling produces movement patterns that closely resemble human behaviour, highlighting the importance of velocity-based integration in proprioceptive inference.

Topic Area: Predictive Processing & Cognitive Control

Extended Abstract: Full Text PDF