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Comparing Bayesian models for multisensory cue combination

by Ulrik R. Beierholm, Ladan Shams, Konrad P. Körding, Wei Ji Ma
"... without mandatory integration ..."
Abstract - Cited by 7 (2 self) - Add to MetaCart
without mandatory integration

Multisensory oddity detection as bayesian inference

by Timothy Hospedales, Sethu Vijayakumar - 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 ..."
Abstract - Cited by 6 (1 self) - Add to MetaCart
) 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

unknown title

by unknown authors
"... 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

by Michael L. Morgan, Gregory C. Deangelis, Dora E. Angelaki
"... 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

by Feng Zhou, Victoria Wong, Robert Sekuler
"... 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 ..."
Abstract - Cited by 3 (1 self) - Add to MetaCart
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?

by Thomas H Weisswange, Constantin A Rothkopf, Tobias Rodemanny, Jochen Triesch
"... 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

by Marko Nardini, Katarina Begus, Denis Mareschal - 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 ..."
Abstract - Cited by 5 (3 self) - Add to MetaCart
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

by Rachael Bedford, Elizabeth Pellicano, Denis Mareschal, Marko Nardini
"... 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

by Jayne M. Gardiner, Jelle Atema, Robert E. Hueter, Philip J. Motta
"... 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 ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
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

by Steven S. Shimozaki, Miguel P. Eckstein, Craig K. Abbey - 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 ..."
Abstract - Cited by 5 (0 self) - Add to MetaCart
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
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