Uli Grasemann
Postdoc (Alumni)
Uli's research focuses on computational modeling of schizophrenic story processing. He has also developed methods for evolving wavelets for image compression.
A Computational Account of Bilingual Aphasia Rehabilitation 2013
Swathi Kiran, Uli Grasemann, Chaleece Sandberg, and Risto Miikkulainen
Impairment and Rehabilitation in Bilingual Aphasia: A SOM-Based Model 2011
Uli Grasemann, Swathi Kiran, Chaleece Sandberg and Risto Miikkulainen
Modeling Acute and Compensated Language Disturbance in Schizophrenia 2011
Uli Grasemann, Ralph Hoffman and Risto Miikkulainen
Using Computational Patients to Evaluate Illness Mechanisms in Schizophrenia 2011
Ralph E. Hoffman, Uli Grasemann, Ralitza Gueorguieva, Donald Quinlan, Douglas Lane, and Risto Miikkulainen
A Computational Model of Language Pathology in Schizophrenia 2010
Uli Grasemann
Hyperlearning: A Connectionist Model of Psychosis in Schizophrenia 2009
Uli Grasemann, Risto Miikkulainen and Ralph Hoffman
A Neural Network-Based Approach to Robot Motion Control 2008
Uli Grasemann and Daniel Stronger and Peter Stone
A Subsymbolic Model of Language Pathology in Schizophrenia 2007
Uli Grasemann, Risto Miikkulainen, Ralph Hoffman
Effective Image Compression Using Evolved Wavelets 2005
Uli Grasemann and Risto Miikkulainen
Evolving Wavelets using a Coevolutionary Genetic Algorithm and Lifting 2004
Uli Grasemann and Risto Miikkulainen