Neural decoding of reference frames during a tool sensing experiment
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2022-01-27
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en
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Abstract
The usage of a tool has been a phenomenon that has been occurring since
the existence of humanity. When holding a stick the brain sees this stick as
a bodily extension. Not only motor aspects but also sensory aspects play a
role in how the brain embodies a tool. Tool-based reference frames tell us
about the location in the brain where the information of this embodiment is
processed. Machine learning methods can be used to predict these reference
frames and are convenient when investigating the exact moment of when we
start seeing evidence for these tool-based reference frames. During an EEG
experiment the brain response of hitting an object with a tool and making
a decision where this object was in space was measured. The data of the
brain response was fed to a support vector machine that tried to classify the
different hit locations. Significant results were found providing evidence for
components such as N140 and P250. The research done in this tool sensing
field could help adding information on how to restore perception on touch in
proprioceptively deafferented patients. This design could then, in the long
run, be implemented in prosthetics.
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Faculteit der Sociale Wetenschappen