Impairment and rehabilitation in Bilingual Aphasia: A SOM-based model

Uli Grasemann, Chaleece Sandberg, Swathi Kiran, Risto Miikkulainen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Bilingual aphasia is of increasing interest because a large and growing proportion of the world's population is bilingual. Current clinical research on this topic cannot provide specific recommendations on which language treatment should focus in a bilingual aphasic individual and to what extent cross-language transfer occurs during or after rehabilitation. This paper describes a SOM-based model of the bilingual lexicon, and reports on simulations of impairment and rehabilitation in bilingual aphasia. The goal is to create computational methods that can complement clinical research in developing a better understanding of mechanisms underlying recovery, and that could be used in the future to predict the most beneficial treatment for individual patients.

Original languageEnglish (US)
Title of host publicationAdvances in Self-Organizing Maps - 8th International Workshop, WSOM 2011, Proceedings
Pages207-217
Number of pages11
DOIs
StatePublished - Jun 23 2011
Event8th Workshop on Self-Organizing Maps, WSOM 2011 - Espoo, Finland
Duration: Jun 13 2011Jun 15 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6731 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other8th Workshop on Self-Organizing Maps, WSOM 2011
CountryFinland
CityEspoo
Period6/13/116/15/11

Fingerprint

Rehabilitation
Patient rehabilitation
Computational methods
Computational Methods
Recommendations
Proportion
Recovery
Complement
Predict
Model
Simulation
Language

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Grasemann, U., Sandberg, C., Kiran, S., & Miikkulainen, R. (2011). Impairment and rehabilitation in Bilingual Aphasia: A SOM-based model. In Advances in Self-Organizing Maps - 8th International Workshop, WSOM 2011, Proceedings (pp. 207-217). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6731 LNCS). https://doi.org/10.1007/978-3-642-21566-7_21
Grasemann, Uli ; Sandberg, Chaleece ; Kiran, Swathi ; Miikkulainen, Risto. / Impairment and rehabilitation in Bilingual Aphasia : A SOM-based model. Advances in Self-Organizing Maps - 8th International Workshop, WSOM 2011, Proceedings. 2011. pp. 207-217 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Grasemann, U, Sandberg, C, Kiran, S & Miikkulainen, R 2011, Impairment and rehabilitation in Bilingual Aphasia: A SOM-based model. in Advances in Self-Organizing Maps - 8th International Workshop, WSOM 2011, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6731 LNCS, pp. 207-217, 8th Workshop on Self-Organizing Maps, WSOM 2011, Espoo, Finland, 6/13/11. https://doi.org/10.1007/978-3-642-21566-7_21

Impairment and rehabilitation in Bilingual Aphasia : A SOM-based model. / Grasemann, Uli; Sandberg, Chaleece; Kiran, Swathi; Miikkulainen, Risto.

Advances in Self-Organizing Maps - 8th International Workshop, WSOM 2011, Proceedings. 2011. p. 207-217 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6731 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Grasemann U, Sandberg C, Kiran S, Miikkulainen R. Impairment and rehabilitation in Bilingual Aphasia: A SOM-based model. In Advances in Self-Organizing Maps - 8th International Workshop, WSOM 2011, Proceedings. 2011. p. 207-217. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-21566-7_21