• DocumentCode
    3497796
  • Title

    A neurophysiologically inspired hippocampus based associative-ART Artificial neural network architecture

  • Author

    Vineyard, Craig M. ; Verzi, Stephen J. ; Bernard, Michael L. ; Taylor, Shawn E. ; Shaneyfelt, Wendy L. ; Dubicka, Irene ; McClain, Jonathan T. ; Caudell, Thomas P.

  • Author_Institution
    Sandia Nat. Labs., Albuquerque, NM, USA
  • fYear
    2011
  • fDate
    July 31 2011-Aug. 5 2011
  • Firstpage
    2100
  • Lastpage
    2105
  • Abstract
    Hippocampus within medial temporal lobe of the brain is essentially involved in episodic memory formation. Rather than simply being a mechanism of storing information, episodic memory associates information such as the spatial and temporal context of an event. Using hippocampus neurophysiology and functionality as an inspiration, we have developed an artificial neural network architecture called Associative-ART to associate k-tuples of inputs. In this paper we present an overview of hippocampus neurophysiology, explain the design of our neural network architecture, and present experimental results from an implementation of our architecture.
  • Keywords
    neural nets; neurophysiology; associative-ART artificial neural network architecture; episodic memory formation; hippocampus functionality; hippocampus neurophysiology; neurophysiologically inspired hippocampus; Artificial neural networks; Computer architecture; Encoding; Hippocampus; Laboratories; Neurophysiology; Subspace constraints;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), The 2011 International Joint Conference on
  • Conference_Location
    San Jose, CA
  • ISSN
    2161-4393
  • Print_ISBN
    978-1-4244-9635-8
  • Type

    conf

  • DOI
    10.1109/IJCNN.2011.6033487
  • Filename
    6033487