Contribution to a conference proceedings FZJ-2015-00361

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png
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]

This record in other databases:

Please use a persistent id in citations: doi:

Classification:

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
Click to display QR Code for this record

The record appears in these collections:
Dokumenttypen > Ereignisse > Beiträge zu Proceedings
Institutssammlungen > IAS > IAS-6
Institutssammlungen > INM > INM-6
Workflowsammlungen > Öffentliche Einträge
Publikationsdatenbank

 Datensatz erzeugt am 2015-01-12, letzte Änderung am 2024-03-13


Restricted:
Volltext herunterladen PDF
Externer link:
Volltext herunterladenVolltext
Dieses Dokument bewerten:

Rate this document:
1
2
3
 
(Bisher nicht rezensiert)