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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

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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Opportunity ID

The opportunity ID for this research opportunity is 2852

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