Title :
Plastic flow of synapse conductivity distribution and learning mechanism in hierarchical neural network
Author :
Takase, M. I tsuo
Author_Institution :
1-7-10-101 Kouenji-minami Suginami-ku Tokyo 166, Japan
Abstract :
Both the Hebb rule and the role of inhibitory cells cause the plastic flow of synapse conductivity distribution. In this flow there is a character to minimize the memory size for the memorization of a given number of patterns. This is very important for obtaining a high intelligence level and to make a knowledge structure.
Keywords :
Hebbian learning; neural nets; plastic flow; Hebb rule; hierarchical neural network; high intelligence level; inhibitory cells; learning mechanism; memory size; plastic flow; synapse conductivity distribution; Conductivity; Equations; Intelligent networks; Intelligent structures; Learning systems; Neural networks; Plastics; State feedback;
Conference_Titel :
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN :
0-7803-1421-2
DOI :
10.1109/IJCNN.1993.714243
