Characterizing response behavior in multisensory perception with conflicting cues

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

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.

Advances in Neural Information Processing Systems 21, 2009.
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