ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2016
Dynamic Multisensory Integration: Somatosensory Speed Trumps Visual Accuracy during Feedback Control.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 1 of them a synthesis that pooled it.
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Who cites it
64 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Tactile Detection in Fibromyalgia: A Systematic Review and a Meta-Analysis.Frontiers in pain research (Lausanne, Switzerland) · 2021Pooled it
- EEG Evidence for Dynamic Cross-Modal Adaptation Under Progressive Visual-Tactile Impairment.Brain sciences · 2026Article
- Mechanisms of Visuomotor Interception.Brain sciences · 2026Review
- Flexible integration of corollary discharge and sensory feedback signals in somatosensory cortex.bioRxiv : the preprint server for biology · 2026Article
- Bees flexibly adjust decision strategies to information content in a foraging task.Science advances · 2026Article
- The relationship between lower limb proprioception and balance performance in children with cerebral palsy: a multisystem and multi-joint approach.European journal of physical and rehabilitation medicine · 2026Article
- Brain-computer interfaces as a causal probe for scientific inquiry.Trends in cognitive sciences · 2026Review
- Visuoinertial and visual feedback in online steering control.PLoS computational biology · 2025Article
- Continuous tracking of audiovisual motion.Journal of vision · 2025Article
- Human impedance modulation to improve visuo-haptic perception.PLoS computational biology · 2025Article
- Visual target and task-critical feedback uncertainty impair different stages of reach planning in motor cortex.Nature communications · 2025Article
- Article
- Sensory reweighting for postural stability in individuals with low vision and blindness: balance adaptation and muscle co-contraction.Frontiers in physiology · 2025Article
- Article
- Increased muscle coactivation is linked with fast feedback control when reaching in unpredictable visual environments.iScience · 2024Article
- Bayesian inference of state feedback control parameters for fo perturbation responses in cerebellar ataxia.PLoS computational biology · 2024Article
- Role of proprioception in corrective visually-guided movements: larger movement errors in both arms of a deafferented individual compared to control participants.Experimental brain research · 2024Article
- Article
- 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
4 more citing papers are in PubMed but not listed here.
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3 authors.
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Abstract
unlabelledRecent advances in movement neuroscience have consistently highlighted that the nervous system performs sophisticated feedback control over very short time scales (<100 ms for upper limb). These observations raise the important question of how the nervous system processes multiple sources of sensory feedback in such short time intervals, given that temporal delays across sensory systems such as vision and proprioception differ by tens of milliseconds. Here we show that during feedback control, healthy humans use dynamic estimates of hand motion that rely almost exclusively on limb afferent feedback even when visual information about limb motion is available. We demonstrate that such reliance on the fastest sensory signal during movement is compatible with dynamic Bayesian estimation. These results suggest that the nervous system considers not only sensory variances but also temporal delays to perform optimal multisensory integration and feedback control in real-time. SIGNIFICANCE STATEMENT: Numerous studies have demonstrated that the nervous system combines redundant sensory signals according to their reliability. Although very powerful, this model does not consider how temporal delays may impact sensory reliability, which is an important issue for feedback control because different sensory systems are affected by different temporal delays. Here we show that the brain considers not only sensory variability but also temporal delays when integrating vision and proprioception following mechanical perturbations applied to the upper limb. Compatible with dynamic Bayesian estimation, our results unravel the importance of proprioception for feedback control as a consequence of the shorter temporal delays associated with this sensory modality.
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