Bayesian Inference Explains Perception of Unity and Ventriloquism Aftereffect: Identification of Common Sources of Audiovisual Stimuli

By Yoshiyuki Sato, Taro Toyoizumi, Kazuyuki Aihara. 2007

189 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology, Sensory Systems

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

In Experimental and Cognitive Psychology

In Sensory Systems

Citations in the corpus

Assessing the Role of the ‘Unity Assumption’ on Multisensory Integration: A Review (2017, background): “In recent years, researchers have suggested that assumptions concerning the multisensory inputs that likely belong together could be represented as ‘coupling priors’ or ‘prior of common cause’ according to Bayesian models (e.g., Ernst, 2007; Sato et al., 2007; Shams and Beierholm, 2010).”
Interactions of auditory and visual stimuli in space and time. (2009, background): “A second notion is that the stimulus integration follows Bayesian probabilities (Alais and Burr, 2004; Burr and Alais, 2006; Sato et al., 2007).”
Sensory reliability shapes perceptual inference via two mechanisms. (2015, methodology): “As previously shown by Shams and Beierholm (2010), there is a range of models that can account for this nonlinear relationship between localization bias and spatial disparity or cue conflict by assuming mixture distributions as a prior (e.g., two Gaussians with different variances or a Gaussian plus”
Intersensory binding across space and time: A tutorial review (2013, background): “The likelihood represents the sensory noise in the environment or in the brain, whereas the prior captures the statistics of the events in the environment (Alais & Burr, 2004b; Battaglia, Jacobs & Aslin, 2003; Burr & Alais, 2006; Ernst & Banks, 2002; Sato et al., 2007; Shams & Beierholm, 2010; Shi e”
A Neural Network Model of Ventriloquism Effect and Aftereffect (2012, unknown): “In the last decades, several studies have proposed Bayesian probabilistic models to account for the ventriloquism effect [10,17,18] and also aftereffect [19,20] .”
Error correction, sensory prediction, and adaptation in motor control. (2010, background): “…(Kording et al., 2004), feedback responses to perturbations to the properties of the target (Izawa and Shadmehr, 2008), and perceptual estimates of position and velocity in the presence of noise (Ernst and Banks, 2002; Weiss et al., 2002; Stocker and Simoncelli, 2006; Sato et al., 2007).”