Dynamic re-weighting of multisensory cues

Summary

The Bayesian Maximum Likelihood model provides a good description of how sensory information is combined. This project will use a new continuous-measurement technique to measure sensory integration in a dynamic context to study the dynamics of sensory integration.

Supervisor(s)

Professor David Alais

Research Location

School of Psychology

Program Type

Masters/PHD

Synopsis

The Bayesian Maximum Likelihood model provides a good description of how sensory information is combined. This project will use a new continuous-measurement technique to measure sensory integration in a dynamic context to study the dynamics of sensory integration.

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Keywords

Cross-modal, multisensory, sensory integration Bayesian integration, cue combination, weighted combination

Opportunity ID

The opportunity ID for this research opportunity is: 2852

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