Stavropoulos, AkisLakshminarasimhan, Kaushik JLaurens, JeanPitkow, XaqAngelaki, Dora2022-03-242022-03-242022Stavropoulos, Akis, Lakshminarasimhan, Kaushik J, Laurens, Jean, et al.. "Influence of sensory modality and control dynamics on human path integration." <i>eLife,</i> 11, (2022) eLife Sciences Publications Ltd.: https://doi.org/10.7554/eLife.63405.https://hdl.handle.net/1911/112038Path integration is a sensorimotor computation that can be used to infer latent dynamical states by integrating self-motion cues. We studied the influence of sensory observation (visual/vestibular) and latent control dynamics (velocity/acceleration) on human path integration using a novel motion-cueing algorithm. Sensory modality and control dynamics were both varied randomly across trials, as participants controlled a joystick to steer to a memorized target location in virtual reality. Visual and vestibular steering cues allowed comparable accuracies only when participants controlled their acceleration, suggesting that vestibular signals, on their own, fail to support accurate path integration in the absence of sustained acceleration. Nevertheless, performance in all conditions reflected a failure to fully adapt to changes in the underlying control dynamics, a result that was well explained by a bias in the dynamics estimation. This work demonstrates how an incorrect internal model of control dynamics affects navigation in volatile environments in spite of continuous sensory feedback.engThis article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are creditedInfluence of sensory modality and control dynamics on human path integrationJournal articleelife-63405-v1https://doi.org/10.7554/eLife.63405