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100
Multisensory oddity detection as bayesian inference
- PLoS ONE
, 2009
"... A key goal for the perceptual system is to optimally combine information from all the senses that may be available in order to develop the most accurate and unified picture possible of the outside world. The contemporary theoretical framework of ideal observer maximum likelihood integration (MLI) ha ..."
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Cited by 6 (1 self)
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) has been highly successful in modelling how the human brain combines information from a variety of different sensory modalities. However, in various recent experiments involving multisensory stimuli of uncertain correspondence, MLI breaks down as a successful model of sensory combination. Within
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"... Comparing Bayesian models for multisensory cuecombination without mandatory integration ..."
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Comparing Bayesian models for multisensory cuecombination without mandatory integration
Neuron Article Multisensory Integration in Macaque Visual Cortex Depends on Cue Reliability
"... Responses of multisensory neurons to combinations of sensory cues are generally enhanced or depressed relative to single cues presented alone, but the rules that govern these interactions have remained unclear. We examined integration of visual and vestibular self-motion cues in macaque area MSTd in ..."
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Responses of multisensory neurons to combinations of sensory cues are generally enhanced or depressed relative to single cues presented alone, but the rules that govern these interactions have remained unclear. We examined integration of visual and vestibular self-motion cues in macaque area MSTd
Multi-sensory integration of spatio-temporal segmentation cues: One plus one does not always equal two
"... How are multiple, multi-sensory stimuli combined for use in segmenting spatio-temporal events? For an answer, we measured the effect of various auditory or visual stimuli, in isolation or in combination, on a bistable percept of visual motion (“bouncing ” vs. ”streaming”). To minimize individual dif ..."
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Cited by 3 (1 self)
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presented alone, were greatly reduced in combination. Evaluation of alternative models of sensory integration showed that the state of the visual bistable percept could not be accounted for by probability summation among cues, as might occur at the level of decision processes. Instead, the state
Can reinforcement learning explain the development of causal inference in multisensory integration?
"... Abstract—Bayesian inference techniques have been used to understand the performance of human subjects on a large number of sensory tasks. Particularly, it has been shown that humans integrate sensory inputs from multiple cues in an optimal way in many conditions. Recently it has also been proposed t ..."
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Abstract—Bayesian inference techniques have been used to understand the performance of human subjects on a large number of sensory tasks. Particularly, it has been shown that humans integrate sensory inputs from multiple cues in an optimal way in many conditions. Recently it has also been proposed
Multisensory uncertainty reduction for hand localization in children and adults
- Journal of Experimental Psychology: Human Perception and Performance
, 2013
"... Adults can integrate multiple sensory estimates to reduce their uncertainty in perceptual and motor tasks. In recent studies, children did not show this ability until after 8 years. Here we investigated development of the ability to integrate vision with proprioception to localize the hand. We teste ..."
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Cited by 5 (3 self)
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their pointing variability. One explanation for poorer group-level cue weighting at 10–12 years is that this ages represents a period of relatively rapid physical growth. An existing Bayesian model of hand localization did not describe either adults ’ or children’s data well, but the results suggest future
RESEARCH ARTICLE Flexible Integration of Visual Cues in Adolescents With Autism Spectrum Disorder
"... Although children with autism spectrum disorder (ASD) show atypical sensory processing, evidence for impaired inte-gration of multisensory information has been mixed. In this study, we took a Bayesian model-based approach to assess within-modality integration of congruent and incongruent texture and ..."
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Although children with autism spectrum disorder (ASD) show atypical sensory processing, evidence for impaired inte-gration of multisensory information has been mixed. In this study, we took a Bayesian model-based approach to assess within-modality integration of congruent and incongruent texture
Multisensory Integration and Behavioral Plasticity in Sharks from Different Ecological Niches
"... The underwater sensory world and the sensory systems of aquatic animals have become better understood in recent decades, but typically have been studied one sense at a time. A comprehensive analysis of multisensory interactions during complex behavioral tasks has remained a subject of discussion wit ..."
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Cited by 1 (0 self)
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without experimental evidence. We set out to generate a general model of multisensory information extraction by aquatic animals. For our model we chose to analyze the hierarchical, integrative, and sometimes alternate use of various sensory systems during the feeding sequence in three species of sharks
Comparison of two weighted integration models for the cueing task: linear and likelihood
- J. Vision
, 2003
"... In a task in which the observer must detect a signal at two locations, presenting a precue that predicts the location of a signal leads to improved performance with a valid cue (signal location matches the cue), compared to an invalid cue (signal location does not match the cue). The cue validity ef ..."
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Cited by 5 (0 self)
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compare two weighted integration models, a linear model and a sum of weighted likelihoods model based on a Bayesian observer. While qualitatively these models are similar, quantitatively they predict different cue validity effects as the signal-to-noise ratios (SNR) increase. To test these models, 3
Results 1 - 10
of
100