Skip to main content
Article thumbnail
Location of Repository

Characterizing response behavior in multisensory perception with conflicting cues

By Rama Natarajan, Iain Murray, Ladan Shams and Richard Zemel

Abstract

We explore a recently proposed mixture model approach to understanding interactions between conflicting sensory cues. Alternative model formulations, differing in their sensory noise models and inference methods, are compared based on their fit to experimental data. Heavy-tailed sensory likelihoods yield a better description of the subjects' response behavior than standard Gaussian noise models. We study the underlying cause for this result, and then present several testable predictions of these models

Year: 2008
OAI identifier: oai:www.era.lib.ed.ac.uk:1842/4589

Suggested articles

Citations

  1. (2008). A Bayesian model of conditioned perception.
  2. (2007). Bayesian inference explains perception of unity and ventriloquism aftereffect. doi
  3. (2007). Causal inference in multisensory perception. doi
  4. (2006). Causal inference in sensorimotor integration.
  5. (1966). Human spatial orientation. doi
  6. (2006). Noise characteristics and prior expectations in human visual speed perception. doi
  7. (2007). Robust cue integration: A Bayesian model and evidence from cue-conflict studies with stereoscopic and figure cues to slant. doi
  8. (2004). Unifying multisensory signals across time and space. doi

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.