Parameter Recovery of a Visual-Vestibular Interactions Model using Adaptive Stimulus Selection
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2019-06-28
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en
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Abstract
The signal quality of the vestibular organ diminishes with age. This
can have negative e ects on balance, coordination and vision. The aim of
the project was to develop techniques that radically decrease the number
of trials needed in the Rod-and-Frame task for testing vestibular functionality
based on a Bayesian model. The model is a reduced version of
the model by Alberts et al. (2016) where the head orientation is xed at
upright. The mean inferred parameter values in that paper were used to
make a generative model that generates responses given stimuli. Adaptive
stimulus selection was used to select the next stimulus, such that
the corresponding response was maximally informative for the model parameter
recovery. This was done in silico, by adaptively manipulating
the rod and frame orientations. The proposed model's parameters could
not be successfully recovered. However, the advantage of adaptive stimulus
selection over random stimulus selection was e ectively shown when
recovering single parameter and parameter pair values. This advantage
was not observed for the model with all free parameters, suggesting that
the proposed model's parameters are fundamentally unrecoverable. The
discussion provides a number of suggestions on how this unrecoverability
might be overcome.
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Faculteit der Sociale Wetenschappen