Conference proceeding
Simulating individual differences in language ability and genetic differences in FOXP2 using a neural network model of the SRT task
Proceedings of the Annual Meeting of the Cognitive Science Society, pp.2230-2235
01/01/2010
Abstract
Recent work has shown that individual differences in language development are related to differences in procedural learning, as measured by the serial reaction time (SRT) task. Performance on this task has also been shown to be associated with common genetic variants in FOXP2. To investigate what these differences can tell us about the functional properties of language processing, we present a computational model of the SRT task. We varied parameters in the model to observe their effects on performance in the task. We found that the combined effect of several model parameters produced changes in the learning trajectory that were similar to those observed behaviorally.
Details
- Title: Subtitle
- Simulating individual differences in language ability and genetic differences in FOXP2 using a neural network model of the SRT task
- Creators
- Joseph C. Toscano - Univ Iowa, Dept Psychol, Iowa City, IA 52242 USAKathryn L. Mueller - Univ Iowa, Dept Commun Sci & Disorders, Iowa City, IA 52242 USABob McMurray - Univ Iowa, Dept Psychol, Iowa City, IA 52242 USAJ. Bruce Tomblin - University of Iowa
- Contributors
- S Ohlsson (Editor)R Catrambone (Editor)
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of the Annual Meeting of the Cognitive Science Society, pp.2230-2235
- Publisher
- Cognitive Science Society, Inc
- ISSN
- 1069-7977
- Number of pages
- 6
- Language
- English
- Date published
- 01/01/2010
- Academic Unit
- Communication Sciences and Disorders; Psychological and Brain Sciences; Linguistics; Iowa Neuroscience Institute; Otolaryngology
- Record Identifier
- 9984631938302771
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