Predicting Rehabilitation Outcomes In Bilingual Aphasia Using Computational Modeling
Active from 2016 - 2021
This project focuses on developing a computational model of naming deficit in aphasia in bilinguals, validating it with patient data, and using it to draw predictions for effective treatments. These predictions will be tested in a clinical trial with actual patients---to our knowledge the first time when a computational cognitive model is serving in this role. More specifically, a self-organizing map model of the lexicon will be built based on the existing DISLEX model, and trained with semantic representations and a large phonetic vocabulary similar to those of patients. It will be lesioned and retrained, simulating stroke damage and rehabilitation in individual patients. Predictions will be drawn about what the most efficient treatment protocol would be for each patient. It will then be extended to include lateral inhibition, demonstrating a possible mechanism underlying the observed cross-language transfer and interference effects. The University of Texas team will collaborate closely with the Boston University team, in particular building the model based on their semantic and phonological data, patient performance data, and treatment protocols. The results of the model will also be interpreted in terms of protocols available in their lab, resulting in recommendations in the clinical trial, and for the future. This project is supported by NIH under grant 1U01DC014922.
Uli Grasemann Postdoctoral Alumni uli [at] cs utexas edu
Swathi Kiran Collaborator kirans [at] bu edu
A Computational Account of Bilingual Aphasia Rehabilitation Swathi Kiran, Uli Grasemann, Chaleece Sandberg, and Risto Miikkulainen Bilingualism: Language and Cognition, 16:325-342, 2013. 2013

Impairment and Rehabilitation in Bilingual Aphasia: A SOM-Based Model Uli Grasemann, Swathi Kiran, Chaleece Sandberg and Risto Miikkulainen In J Laaksonen and T. Honkela, editors, Proceedings of WSOM11, 8th Workshop on Self-Organizing Ma... 2011

Modeling the Bilingual Lexicon of an Individual Subject Risto Miikkulainen and Swathi Kiran In Proceedings of the Workshop on Self-Organizing Maps (WSOM'09), Berlin, 2009. Springer. 2009


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