Multi-Sensory Weights Depend on Contextual Noise in Reference Frame Transformations
Identifieur interne : 001E02 ( Pmc/Corpus ); précédent : 001E01; suivant : 001E03Multi-Sensory Weights Depend on Contextual Noise in Reference Frame Transformations
Auteurs : Jessica Katherine Burns ; Gunnar BlohmSource :
- Frontiers in Human Neuroscience [ 1662-5161 ] ; 2010.
Abstract
During reach planning, we integrate multiple senses to estimate the location of the hand and the target, which is used to generate a movement. Visual and proprioceptive information are combined to determine the location of the hand. The goal of this study was to investigate whether multi-sensory integration is affected by extraretinal signals, such as head roll. It is believed that a coordinate matching transformation is required before vision and proprioception can be combined because proprioceptive and visual sensory reference frames do not generally align. This transformation utilizes extraretinal signals about current head roll position, i.e., to rotate proprioceptive signals into visual coordinates. Since head roll is an estimated sensory signal with noise, this head roll dependency of the reference frame transformation should introduce additional noise to the transformed signal, reducing its reliability and thus its weight in the multi-sensory integration. To investigate the role of noisy reference frame transformations on multi-sensory weighting, we developed a novel probabilistic (Bayesian) multi-sensory integration model (based on Sober and Sabes,
Url:
DOI: 10.3389/fnhum.2010.00221
PubMed: 21165177
PubMed Central: 3002464
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