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