A Subsymbolic Model of Schizophrenic Language
In this project, we are exploring possible causes of schizophrenia using DISCERN,
a neural network-based model of human story processing.
The system is first trained to paraphrase stories consisting of multiple scripts; then
various "lesions" (simulated pathologies) are applied to the networks to model
possible underlying causes of schizophrenia.
This demo makes it possible to observe the impaired storytelling graphically and in individual stories.
Please note, however, that this site is primarily intended as a research tool, so not all options are
always documented in detail. Please send any questions to uli (at) cs (dot) utexas (dot) edu.
In order to start exploring the ways in which different lesions impair story processing in DISCERN, do the following:
- Select the lesions you would like to compare, using the check boxes on the left.
- Select the plots you are interested in, using the check boxes on the right.
- Push the "Refresh plots" button below.
The "[details]" links in the plot headings each lead to a separate page that shows a specific lesion in more detail,
including the actual language output produced by DISCERN at various lesion intensities.