Contribution to a conference proceedings FZJ-2015-00361

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Self-generated Off-line Memory Reprocessing Strongly Improves Generalization in a Hierarchical Recurrent Neural Network



2014
Springer International Publishing Cham
ISBN: 978-3-319-11179-7, 978-3-319-11179-7 (electronic)

24th International Conference on Artificial Neural Networks, ICANN 2014, HamburgHamburg, Germany, 15 Sep 2014 - 19 Sep 20142014-09-152014-09-19 Cham : Springer International Publishing, Lecture Notes in Computer Science 8681, 659 - 666 () [10.1007/978-3-319-11179-7_83]

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Contributing Institute(s):
  1. Computational and Systems Neuroscience (INM-6)
  2. Theoretical Neuroscience (IAS-6)
Research Program(s):
  1. 574 - Theory, modelling and simulation (POF3-574) (POF3-574)
  2. 89574 - Theory, modelling and simulation (POF2-89574) (POF2-89574)
  3. 331 - Signalling Pathways and Mechanisms in the Nervous System (POF2-331) (POF2-331)
  4. 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 ; NationallizenzNationallizenz ; SCOPUS ; Thomson Reuters Master Journal List ; Web of Science Core Collection
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 Record created 2015-01-12, last modified 2024-03-13


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