Dyslexic and category-specific aphasic impairments in a self-organizing feature map model of the lexicon.
By Risto Miikkulainen. 1997
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Fiona M. Richardson
- Ping Li
- Brian MacWhinney
- Michael S. C. Thomas
- Nick C. Ellis
- J. Paradis
- Xiaofei Lu
- Andrea Révész
Citations in the corpus
- Bibliography of Self-Organizing Map SOM) Papers: 1998-2001 Addendum (2003, unknown): “k-nearest neighbour classifier [113, 604, 760, 1534, 1684] Kalman filtering [575, 611] kanji recognition [2008] Karhunen-Loeve transform [150, 1744] kernel [365, 990, 1078, 1103, 1745, 1849, 1850, 1844, 1842, 1847, 1961, 1962, 1960] Klein bottle [1724] Kullback-Leibler [634, 633, 681, 2040, 2039] La”
- Early lexical development in a self-organizing neural network (2004, methodology): “And finally, the topographically organized maps as used in SOM and our DevLex model may have significant neural underpinnings for the representation and development of the lexicon in the brain (Miikkulainen, 1993, 1997; Spitzer, 1999).”
- Critical periods and catastrophic interference effects in the development of self-organizing feature maps. (2008, background): “The models will necessarily exhibit a sensitive period because this is the mechanism by which they achieve good topographic organisation (Kohonen, 1995; Li, et al., 2004; Miikkulainen, 1997; Thomas & Richardson, 2006).”