DocumentCode
1635129
Title
The main field approximation to the cellular automata of nerve growth
Author
Luan, Chang Fu
Author_Institution
Dept. of Math., South China Univ. of Technol., Guangzhou, China
fYear
1992
Firstpage
51
Abstract
The main field approximation in statistical physics is used to study the phase transition of the cellular automata (CA) dynamic with the noise factor. The CA are simulated in a majority vote model. Under specific conditions, it is shown that there may or may not be CA phase transitions
Keywords
cellular automata; eye; neurophysiology; physiological models; cellular automata; main field approximation; majority vote model; nerve growth; noise factor; phase transition; statistical physics; Automata; Biomedical optical imaging; Computational modeling; Laboratories; Lattices; Mathematics; Optical noise; Phase noise; Physiology; Sorting;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON '92. ''Technology Enabling Tomorrow : Computers, Communications and Automation towards the 21st Century.' 1992 IEEE Region 10 International Conference.
Conference_Location
Melbourne, Vic.
Print_ISBN
0-7803-0849-2
Type
conf
DOI
10.1109/TENCON.1992.271985
Filename
271985
Link To Document