Add to ORKGWe 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 in a larger framework using Bayesian decision theory (BDT)
When different perceptual signals of the same physical property are integrated–e.g., the size of an ...
To obtain a coherent percept of the environment, the brain should integrate sensory signals from com...
van Dam L, Rohde M. Maximum Likelihood Multisensory Integration Toolbox. Matlab Central; 2015.Humans...
Ernst MO. A Bayesian view on multimodal cue integration. Perception. 2006;131(Chapter 6):105-131.We ...
Multisensory integration is a fundamental component of perceptual decision making and an excellent e...
For perceiving the environment our brain uses multiple sources of sensory information derived from s...
The human brain uses multiple sources of sensory information to construct a representation of the en...
Bayesian models of multisensory perception traditionally address the problem of estimating an underl...
For perceiving the environment our brain uses multiple sources of sensory information derived from s...
Our nervous system typically processes signals from multiple sensory modalities at any given moment ...
Humans combine redundant multisensory estimates into a coherent multimodal percept. Experiments in c...
We perceive the world surrounding us via multiple sensory modalities, including touch, vision and au...
Abstract—We perceive the world surrounding us via multiple sensory modalities, including touch, visi...
The different senses, such as vision, touch, or audition, often provide redundant information for pe...
The different senses, such as vision, touch, or audition, often provide redundant information for pe...
When different perceptual signals of the same physical property are integrated–e.g., the size of an ...
To obtain a coherent percept of the environment, the brain should integrate sensory signals from com...
van Dam L, Rohde M. Maximum Likelihood Multisensory Integration Toolbox. Matlab Central; 2015.Humans...
Ernst MO. A Bayesian view on multimodal cue integration. Perception. 2006;131(Chapter 6):105-131.We ...
Multisensory integration is a fundamental component of perceptual decision making and an excellent e...
For perceiving the environment our brain uses multiple sources of sensory information derived from s...
The human brain uses multiple sources of sensory information to construct a representation of the en...
Bayesian models of multisensory perception traditionally address the problem of estimating an underl...
For perceiving the environment our brain uses multiple sources of sensory information derived from s...
Our nervous system typically processes signals from multiple sensory modalities at any given moment ...
Humans combine redundant multisensory estimates into a coherent multimodal percept. Experiments in c...
We perceive the world surrounding us via multiple sensory modalities, including touch, vision and au...
Abstract—We perceive the world surrounding us via multiple sensory modalities, including touch, visi...
The different senses, such as vision, touch, or audition, often provide redundant information for pe...
The different senses, such as vision, touch, or audition, often provide redundant information for pe...
When different perceptual signals of the same physical property are integrated–e.g., the size of an ...
To obtain a coherent percept of the environment, the brain should integrate sensory signals from com...
van Dam L, Rohde M. Maximum Likelihood Multisensory Integration Toolbox. Matlab Central; 2015.Humans...