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
Link To Document