Characterizing response behavior in multisensory perception with conflicting cues

Rama Natarajan; Iain Murray; Ladan Shams; Richard Zemel

Characterizing response behavior in multisensory perception with conflicting cues

Rama Natarajan, Iain Murray, Ladan Shams, Richard Zemel

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	Advances in Neural Information Processing Systems 21
Editors	D. Koller, D. Schuurmans, Y. Bengio, L. Bottou
Pages	1153-1160
Number of pages	8
Publication status	Published - 2009

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NIPS2008_0865Final published version, 513 KB

http://books.nips.cc/papers/files/nips21/NIPS2008_0865.pdf

Cite this

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title = "Characterizing response behavior in multisensory perception with conflicting cues",

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.",

author = "Rama Natarajan and Iain Murray and Ladan Shams and Richard Zemel",

year = "2009",

language = "English",

pages = "1153--1160",

editor = "D. Koller and D. Schuurmans and Y. Bengio and L. Bottou",

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AU - Murray, Iain

AU - Shams, Ladan

AU - Zemel, Richard

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N2 - 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.

AB - 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.

M3 - Conference contribution

SP - 1153

EP - 1160

BT - Advances in Neural Information Processing Systems 21

A2 - Koller, D.

A2 - Schuurmans, D.

A2 - Bengio, Y.

A2 - Bottou, L.

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