DocumentCode :
538640
Title :
A Category Theory Model for Learning and Memory of the Human Brain
Author :
Pan Hong-jun ; Yao Xiao-qiu ; Qi Chang-song ; Chen Hong-tao
Author_Institution :
Sch. of Math., Phys. & Inf. Sci., Zhejiang Ocean Univ., Zhoushan, China
Volume :
1
fYear :
2010
fDate :
18-20 Dec. 2010
Firstpage :
11
Lastpage :
14
Abstract :
Learning and memory, which are important functions of the human brain, are the foundations of thinking. Revealing the learning and memory mechanism of human brain is the core objective and main development way of the intelligent science. Improved human brain functional structure model, a memory prediction structural framework on the brain structure and function are proposed. And then we work out a human brain learning and memory algebraic method based on the proposed framework, and offer a reasonable interpretation of the learning and memory mechanism of human brain. This framework provides a formalization method for the study of human brain functional structure and the establishment of image thinking reasoning system.
Keywords :
brain models; cognition; medical computing; category theory model; human brain functional structure model; human brain learning; image thinking reasoning system; learning mechanism; memory algebraic method; memory mechanism; memory prediction structural framework; J-diagram; category; colimit; functor; limit;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Manufacturing and Automation (ICDMA), 2010 International Conference on
Conference_Location :
ChangSha
Print_ISBN :
978-0-7695-4286-7
Type :
conf
DOI :
10.1109/ICDMA.2010.11
Filename :
5700916
Link To Document :
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