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scientific_program [2010/11/21 21:41]
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scientific_program [2010/11/21 21:42] (current)
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   * The task T1 aims at developing a model of the visual field integration based on a hierarchical stack of neural networks. The first neural networks that will be considered are self-organizing maps. See [[http://topographica.org/Home/index.html|Topographica]] for a software implementation    * The task T1 aims at developing a model of the visual field integration based on a hierarchical stack of neural networks. The first neural networks that will be considered are self-organizing maps. See [[http://topographica.org/Home/index.html|Topographica]] for a software implementation 
  
-{{empilement_SOM_V6_en.001.png?300}}+{{ empilement_SOM_V6_en.001.png?350 }}
  
   * The task T2 aims at using the open-bigram model proposed by  [[http://www.cs.umd.edu/~shankar/cwhitney/Papers/TICS.pdf|Grainger & Whitney, 2004]] for encoding the lexical information in a recognizer.   * The task T2 aims at using the open-bigram model proposed by  [[http://www.cs.umd.edu/~shankar/cwhitney/Papers/TICS.pdf|Grainger & Whitney, 2004]] for encoding the lexical information in a recognizer.
   * The task T3 aims at encoding  the semantical proximity information of words with self-organizing maps in order to access to the semantical information in the recognizer.   * The task T3 aims at encoding  the semantical proximity information of words with self-organizing maps in order to access to the semantical information in the recognizer.