Characterizing Response Behavior in Multisensory Perception with Conflicting Cues
Abstract
We explore a recently proposed mixture model approach to understand- ing interactions between conflicting sensory cues. Alternative model for- mulations, differing in their sensory noise models and inference methods, are compared based on their fit to experimental data. Heavy-tailed sen- sory 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.
Cite
Text
Natarajan et al. "Characterizing Response Behavior in Multisensory Perception with Conflicting Cues." Neural Information Processing Systems, 2008.Markdown
[Natarajan et al. "Characterizing Response Behavior in Multisensory Perception with Conflicting Cues." Neural Information Processing Systems, 2008.](https://mlanthology.org/neurips/2008/natarajan2008neurips-characterizing/)BibTeX
@inproceedings{natarajan2008neurips-characterizing,
title = {{Characterizing Response Behavior in Multisensory Perception with Conflicting Cues}},
author = {Natarajan, Rama and Murray, Iain and Shams, Ladan and Zemel, Richard S.},
booktitle = {Neural Information Processing Systems},
year = {2008},
pages = {1153-1160},
url = {https://mlanthology.org/neurips/2008/natarajan2008neurips-characterizing/}
}