A Neurophysiologically Inspired Hippocampus Based Associative-ART Artificial Neural Network Architecture

被引:0
作者
Vineyard, Craig M. [1 ]
Verzi, Stephen J. [1 ]
Bernard, Michael L. [1 ]
Taylor, Shawn E. [1 ]
Shaneyfelt, Wendy L. [1 ]
Dubicka, Irene [1 ]
McClain, Jonathan T. [1 ]
Caudell, Thomas P. [2 ]
机构
[1] Sandia Natl Labs, POB 5800, Albuquerque, NM 87185 USA
[2] Univ New Mexico, Albuquerque, NM 87131 USA
来源
2011 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) | 2011年
关键词
MEMORY; CORTICES; MONKEY; SYSTEM; CODES;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:2100 / 2105
页数:6
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