Title :
The main field approximation to the cellular automata of nerve growth
Author_Institution :
Dept. of Math., South China Univ. of Technol., Guangzhou, China
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;
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
DOI :
10.1109/TENCON.1992.271985
