DocumentCode :
3481999
Title :
Building intelligent system: learning from the Cortico-Hippocampal network
Author :
Gee Wah Ng ; Chung Huat Tan ; Chaturvedi, Nalin
Author_Institution :
Inf. Exploitation Program, DSO Nat. Labs.
Volume :
2
fYear :
2004
fDate :
1-3 Dec. 2004
Firstpage :
1248
Lastpage :
1253
Abstract :
This paper describes the way human brain structures its memory. Human memory could be broadly classified into sensory buffer memory, short-term memory, and long term memory. The work involves an investigation on current human memory function and its association to information processing. Also investigated, is a model of the functioning of a part of the brain, called the cortico-hippocampal region that explains how the brain can learn to predict stimuli based on context cues. The work explores the cortico-hippocampal model and the possibility of an extension of this model. Its possible applications in the field of intelligent computer systems are also being considered in this paper
Keywords :
artificial intelligence; brain models; auto-associative memory; cortico-hippocampal network; human brain structures; human memory; intelligent computer system; sensory buffer memory; Brain modeling; Buildings; Context modeling; Humans; Information processing; Intelligent networks; Intelligent sensors; Intelligent structures; Intelligent systems; Predictive models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cybernetics and Intelligent Systems, 2004 IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
0-7803-8643-4
Type :
conf
DOI :
10.1109/ICCIS.2004.1460770
Filename :
1460770
Link To Document :
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