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Self-generated Off-line Memory Reprocessing Strongly Improves Generalization in a Hierarchical Recurrent Neural Network 
 Jitsev, J.  (Corresponding Author) FZJ *  Springer International Publishing 
Cham 
  
  2014 24th International Conference on Artificial Neural Networks , ICANN 2014 , Hamburg Hamburg , Germany 2014-09-15 2014-09-19 Cham : Springer International Publishing, Lecture Notes in Computer Science 8681 659 - 666 (2014 )  [10.1007/978-3-319-11179-7_83 ] 2014  
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Please use a persistent id in citations: doi:10.1007/978-3-319-11179-7_83 
  
Contributing Institute(s): 
Computational and Systems Neuroscience (INM-6) Theoretical Neuroscience (IAS-6) 
Research Program(s): 
574 - Theory, modelling and simulation (POF3-574) (POF3-574) 89574 - Theory, modelling and simulation (POF2-89574) (POF2-89574) 331 - Signalling Pathways and Mechanisms in the Nervous System (POF2-331) (POF2-331) SMHB - Supercomputing and Modelling for the Human Brain (HGF-SMHB-2013-2017) (HGF-SMHB-2013-2017) Appears in the scientific report 
2014 
Database coverage: JCR ; Nationallizenz
 ; SCOPUS ; Thomson Reuters Master Journal List ; Web of Science Core Collection