ArticleFrontiers in integrative neuroscience2017
State Estimation for Early Feedback Responses in Reaching: Intramodal or Multimodal?
Article in Frontiers in integrative neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Human Steering Control Under Unpredictable Disturbances.The European journal of neuroscience · 2026Article
- Visuoinertial and visual feedback in online steering control.PLoS computational biology · 2025Article
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- It is time to integrate models across disciplines: a commentary on Krüger et al. (2022).Psychological research · 2024Article
- Different sensory information is used for state estimation when stationary or moving.bioRxiv : the preprint server for biology · 2024Article
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- Modulations of stretch reflex by altering visuomotor contexts.Frontiers in human neuroscience · 2024Article
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- The nervous system tunes sensorimotor gains when reaching in variable mechanical environments.iScience · 2023Article
- Integration of proprioceptive and visual feedback during online control of reaching.Journal of neurophysiology · 2022Article
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- Divisively Normalized Integration of Multisensory Error Information Develops Motor Memories Specific to Vision and Proprioception.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
- Visual Feedback Processing of the Limb Involves Two Distinct Phases.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
- Task-dependent responses to muscle vibration during reaching.The European journal of neuroscience · 2019Article
- Rapid Visuomotor Responses Reflect Value-Based Decisions.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
- Individual optimal attentional strategy during implicit motor learning boosts frontoparietal neural processing efficiency: A functional near-infrared spectroscopy study.Brain and behavior · 2019Article
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2 authors.
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Abstract
Humans are highly skilled in controlling their reaching movements, making fast and task-dependent movement corrections to unforeseen perturbations. To guide these corrections, the neural control system requires a continuous, instantaneous estimate of the current state of the arm and body in the world. According to Optimal Feedback Control theory, this estimate is multimodal and constructed based on the integration of forward motor predictions and sensory feedback, such as proprioceptive, visual and vestibular information, modulated by context, and shaped by past experience. But how can a multimodal estimate drive fast movement corrections, given that the involved sensory modalities have different processing delays, different coordinate representations, and different noise levels? We develop the hypothesis that the earliest online movement corrections are based on multiple single modality state estimates rather than one combined multimodal estimate. We review studies that have investigated online multimodal integration for reach control and offer suggestions for experiments to test for the existence of intramodal state estimates. If proven true, the framework of Optimal Feedback Control needs to be extended with a stage of intramodal state estimation, serving to drive short-latency movement corrections.
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