A two-stage approach to estimating voxel-specific encoding models
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2014-10-10
Language
en
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Abstract
The process of reconstructing the activity of a brain in response to
a certain stimulus is no trivial task. Building on the work by G u cl u &
van Gerven, 2014 [1] this thesis aims to improve the presented model
by using (i) high-resolution stimuli in order not to lose information
by downsizing the stimuli, (ii) using only the receptive elds of the
single voxel (volumetric pixel) responses since the redundant areas
could cause over- tting, (iii) using convolution to minimize artefacts
and (iv) relate the sizes of the features to actual neuron receptive eld
sizes. We show that an approach that learns the receptive elds from
the data itself improves the prediction accuracy signi cantly.
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Faculteit der Sociale Wetenschappen