% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@INPROCEEDINGS{Jitsev:186277,
      author       = {Jitsev, Jenia},
      title        = {{S}elf-generated {O}ff-line {M}emory {R}eprocessing
                      {S}trongly {I}mproves {G}eneralization in a {H}ierarchical
                      {R}ecurrent {N}eural {N}etwork},
      volume       = {8681},
      address      = {Cham},
      publisher    = {Springer International Publishing},
      reportid     = {FZJ-2015-00361},
      isbn         = {978-3-319-11179-7},
      series       = {Lecture Notes in Computer Science},
      pages        = {659 - 666},
      year         = {2014},
      month         = {Sep},
      date          = {2014-09-15},
      organization  = {24th International Conference on
                       Artificial Neural Networks, Hamburg
                       (Germany), 15 Sep 2014 - 19 Sep 2014},
      cin          = {INM-6 / IAS-6},
      ddc          = {004},
      cid          = {I:(DE-Juel1)INM-6-20090406 / I:(DE-Juel1)IAS-6-20130828},
      pnm          = {574 - Theory, modelling and simulation (POF3-574) / 89574 -
                      Theory, modelling and simulation (POF2-89574) / 331 -
                      Signalling Pathways and Mechanisms in the Nervous System
                      (POF2-331) / SMHB - Supercomputing and Modelling for the
                      Human Brain (HGF-SMHB-2013-2017)},
      pid          = {G:(DE-HGF)POF3-574 / G:(DE-HGF)POF2-89574 /
                      G:(DE-HGF)POF2-331 / G:(DE-Juel1)HGF-SMHB-2013-2017},
      typ          = {PUB:(DE-HGF)8},
      doi          = {10.1007/978-3-319-11179-7_83},
      url          = {https://juser.fz-juelich.de/record/186277},
}