A Subsymbolic Model of Schizophrenic Language (2010)
Author: Uli Grasemann
The DISCERN system is trained to paraphrase stories consisting of multiple scripts and including emotional content and self-reference; it is then lesioned in various ways to model possible underlying causes of schizophrenia. This demo allows the user to specify the lesions and their intensity, and observe the resulting impaired storytelling graphically and in individual stories.

Demo website
Uli Grasemann Postdoctoral Alumni uli [at] cs utexas edu
Risto Miikkulainen Faculty risto [at] cs utexas edu
Ralph E. Hoffman Collaborator ralph hoffman [at] yale edu
Modeling Acute and Compensated Language Disturbance in Schizophrenia 2011
Uli Grasemann, Ralph Hoffman and Risto Miikkulainen, In Proceedings of the 33rd Annual Meeting of the Cognitive Science Society 2011.
Using Computational Patients to Evaluate Illness Mechanisms in Schizophrenia 2011
Ralph E. Hoffman, Uli Grasemann, Ralitza Gueorguieva, Donald Quinlan, Douglas Lane, and Risto Miikkulainen, Biological Psychiatry, Vol. 69 (2011), pp. 997--1005.
A Subsymbolic Model of Language Pathology in Schizophrenia 2007
Uli Grasemann, Risto Miikkulainen, Ralph Hoffman, In Proceedings of the 29th Annual Conference of the Cognitive Science Society, pp. 311-316, Hillsdale, NJ 2007. Erlbaum.
A Subsymbolic Model of Complex Story Understanding 2005
Peggy Fidelman, Risto Miikkulainen and Ralph Hoffman, In Proceedings of the 27th Annual Meeting of the Cognitive Science Society 2005.
Subsymbolic Natural Language Processing: An Integrated Model Of Scripts, Lexicon, And Memory 1993
Risto Miikkulainen, , MIT Press, Cambridge, MA 1993. MIT Press.
DISCERN DISCERN is a large, modular neural network system for reading, paraphrasing and answering questions about stereotypical ... 1993

DISLEX

This package contains the C-code and data for training and testing the DISLEX model of the lexicon, which is also par...

1994

PROC The PROC package contains the C-code and data for training and testing the story processing modules of the DISCERN syste... 1994