Bayesian integration of visual and auditory signals for spatial localization.

By Peter W. Battaglia, Robert A. Jacobs, Richard N. Aslin. Journal of The Optical Society of America A-optics Image Science and Vision, 2003

466 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/012330eaf450d6cd91a9093c6b6a8706bfce453f

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Citations in the corpus

Multisensory integration in macaque visual cortex depends on cue reliability (2008, methodology): “In psychophysical studies, humans often combine cues in a manner consistent with weighted linear summation of unimodal estimates where the weights vary with the relative reliabilities of the cues (e.g., Alais and Burr, 2004; Battaglia et al., 2003; Ernst and Banks, 2002).”
When vision ‘extinguishes’ touch in neurologically-normal people: extending the Colavita visual dominance effect (2008, background): “The MLE approach has the advantage over the account of Posner et al. (1976) of also being able to provide an explanation for those situations in which vision does not dominate over other sensory modalities (e.g., Guest and Spence 2003; Shams et al. 2000; however, see Battaglia et al. 2003, for the”
Decision theory, reinforcement learning, and the brain (2008, background): “…(Trommershäuser et al., 2003b,a, 2006), and can cope with even more sophisticated cases in which cues are two dimensional (visual: cvα and auditory: c a α) and are conditionally independent given the state (Ernst and Banks, 2002; Battaglia et al., 2003; Jacobs, 1999; Yuille and Bülthoff, 1996).”
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] .”
Bayesian Inference Explains Perception of Unity and Ventriloquism Aftereffect: Identification of Common Sources of Audiovisual Stimuli (2007, methodology): “While former models on audiovisual interactions with Bayesian inference (Battaglia et al., 2003; Witten & Knudsen, 2005) assumed that audiovisual stimuli are bound from the beginning, our model not only considers positions and the timing of audiovisual stimuli but also considers whether audiovisual ”
Sound-induced flash illusion as an optimal percept (2005, background): “[7,18]) by showing that the optimality of the human performance is not restricted to situations in which the discrepancy between the two modalities is minute and the two modalities are completely integrated.”