Uli Grasemann
Research Scientist
Uli's research focuses on computational modeling of cognitive disorders, including schizophrenic story processing and damage and rehabilitation in the bilingual lexicon. He has also developed methods for evolving wavelets for image compression. Ralph Hoffman of Yale was a co-advisor of his dissertation.
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Modeling Bilingualism as a Dynamic Phenomenon in Healthy and Neurologically Affected Speakers Across the Lifespan (Commentary) 2023
Claudia Penaloza, Uli Grasemann, Risto Miikkulainen, Swathi Kiran, Language Learning, Vol. . (2023). https://doi.org/10.1111/lang.12566.
Constructing Individualized Computational Models for Dementia Patients 2022
Peggy Fidelman, Uli Grasemann, Claudia Penaloza, Michael Scimeca, Yakeel T. Quiroz, Swathi Kiran, Risto Miikkulainen, In Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022.
Predicting language treatment response in bilingual aphasia using neural network-based patient models 2021
Uli Grasemann, Claudia Peñaloza, Maria Dekhtyar, Risto Miikkulainen, and Swathi Kiran , Scientific Reports, Vol. 11, 10497 (2021), pp. 1-11.
BiLex: A computational approach to the effects of age of acquisition and language exposure on bilingual lexical access 2019
Claudia Peñaloza, Uli Grasemann, Maria Dekhtyar, Risto Miikkulainen, and Swathi Kiran, Brain and Language, Vol. 195, 104643 (2019).
Evolutionary Optimization of Neural-Network Models of Human Behavior 2019
Uli Grasemann, Risto Miikkulainen, Claudia Peñaloza, Maria Dekhtyar, and Swathi Kiran, Proceedings of the International Conference on Cognitive Modeling (2019).
A Computational Account of Bilingual Aphasia Rehabilitation 2013
Swathi Kiran, Uli Grasemann, Chaleece Sandberg, and Risto Miikkulainen, Bilingualism: Language and Cognition, Vol. 16 (2013), pp. 325-342.
Impairment and Rehabilitation in Bilingual Aphasia: A SOM-Based Model 2011
Uli Grasemann, Swathi Kiran, Chaleece Sandberg and Risto Miikkulainen, In Proceedings of WSOM11, 8th Workshop on Self-Organizing Maps, LNCS 6731, J Laaksonen and T. Honkela (Eds.), pp. 207--217, Espoo, Finland 2011. Springer Verlag.
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 Computational Model of Language Pathology in Schizophrenia 2010
Uli Grasemann, PhD Thesis, Department of Computer Science, The University of Texas at Austin. 147 pages. Technical report TR-11-11.
Hyperlearning: A Connectionist Model of Psychosis in Schizophrenia 2009
Uli Grasemann, Risto Miikkulainen and Ralph Hoffman, In Proceedings of the 31st Annual Meeting of the Cognitive Science Society, N. A. Taatgen and H. van Rijn (Eds.), Amsterdam, The Netherlands 2009.
A Neural Network-Based Approach to Robot Motion Control 2008
Uli Grasemann, Daniel Stronger, and Peter Stone, In RoboCup-2007: Robot Soccer World Cup XI, Ubbo Visser and Fernando Ribeiro and Takeshi Ohashi and Frank Dellaert (Eds.), Vol. 5001, pp. 480-87, Berlin 2008. Springer Verlag.
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.
Effective Image Compression Using Evolved Wavelets 2005
Uli Grasemann and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference 2005.
Evolving Wavelets using a Coevolutionary Genetic Algorithm and Lifting 2004
Uli Grasemann and Risto Miikkulainen, In Proceedings of the Genetic and Evolutionary Computation Conference, pp. 969-980, San Francisco 2004. Kaufmann.
BiLex Download at GitHub.

A self-organizing map model of bilingual aphasia. ...

2021

Currently affiliated with Neural Networks Formerly affiliated with Neural Networks