A semantic dementia-based testbed for assessing how well lesioned neural networks replicate patient behavioural data
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2021-01-29
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en
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Abstract
We introduce a way to compare neural networks on their mechanistic
similarity to the brain by investigating how they perform when impaired.
These networks are lesioned such that they simulate semantic dementia
(SD). Two models are used for comparison: one is trained with a category
objective and another with a semantics objective. Both models are used to
perform the word-picture matching task, a well known task in the research
and clinical assessment of SD (Rogers et al., 2004) (Rogers, Ralph, Patter-
son, & Jefferies, 2015). The results show that both models produce sensible
results and that we have created a proof of concept for a semantic dementia
based testbed. However, there is no clear answer on which of the two models
performs more like SD patients: both models produce behavioural features
similar to those of SD patients.
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Faculteit der Sociale Wetenschappen