A Bayesian View on Multimodal Cue Integration

Marc O. Ernst

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Multisensory perception and integration Visual perception and processing mechanisms Tactile and Sensory Interactions

Abstract

Abstract We perceive our own body and the world surrounding us via multiple sources of sensory information derived from several modalities, including vision, touch, and audition. To enable interactions with the environment, this information has to converge into a coherent and unambiguous multimodal percept of the body and the world. But how does the brain come up with such a unique percept? In this chapter, I review a model that in the statistical sense describes an optimal integration mechanism. The benefit of integrating sensory information comes from a reduction in variance of the final perceptual estimate. Furthermore, I point out how this integration scheme can be incorporated into a larger framework using Bayesian decision theory (BDT).

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References

2002Humans integrate visual and haptic information in a statistically optimal fashion 2004The Ventriloquist Effect Results from Near-Optimal Bimodal Integration 2004Merging the senses into a robust percept 1999Integration of Proprioceptive and Visual Position-Information: An Experimentally Supported Model 2002Combining Sensory Information: Mandatory Fusion Within, but Not Between, Senses 2000The ventriloquist effect does not depend on the direction of deliberate visual attention

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2006Resolving multisensory conflict: a strategy for balancing the costs and benefits of audio-visual integration 2017Effects of Aging in Multisensory Integration: A Systematic Review 2006Vision and touch are automatically integrated for the perception of sequences of events 2008Human trimodal perception follows optimal statistical inference 2010Fusion of visual cues is not mandatory in children 2013Audiovisual Cross-Modal Correspondences in the General Population 2015Sensory reliability shapes perceptual inference via two mechanisms

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