Abstract
While SOMs are commonly used as a tool for data visualization and data analysis, they can also serve as a model for cognitive functions in humans. Such functions include semantic and episodic memory, vision, and language. In this talk I will review how elements of sentence meaning can be laid out on a map, resulting in human-like graded semantic understanding instead of a single parse tree. I will also describe a model of the lexicon that can be fit to the individual patient with aphasia, and used to predict optical rehabilitation treatments.
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© 2016 Springer International Publishing Switzerland
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Miikkulainen, R. (2016). Using SOMs to Gain Insight into Human Language Processing. In: Merényi, E., Mendenhall, M., O'Driscoll, P. (eds) Advances in Self-Organizing Maps and Learning Vector Quantization. Advances in Intelligent Systems and Computing, vol 428. Springer, Cham. https://doi.org/10.1007/978-3-319-28518-4_16
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DOI: https://doi.org/10.1007/978-3-319-28518-4_16
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