Title :
Neurodynamical model of collective brain
Author_Institution :
California Inst. of Technol., Pasadena, CA, USA
Abstract :
A dynamical system which mimics collective purposeful activities of a set of units of intelligence is introduced and discussed. A global control of the unit activities is replaced by the probabilistic correlations between them. These correlations are learned during a long term period of performing collective tasks, and are stored in the synaptic interconnections. The model is represented by a system of ordinary differential equations with terminal attractors and repellers, and does not contain any man-made digital devices
Keywords :
brain models; neural nets; collective brain; dynamical system; neurodynamical model; probabilistic correlations; repellers; synaptic interconnections; terminal attractors; Biological system modeling; Brain modeling; Chaos; Delay; Density functional theory; Differential equations; Insects; Mathematical model; Neurons; Stochastic processes;
Conference_Titel :
Neural Networks, 1992. IJCNN., International Joint Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-0559-0
DOI :
10.1109/IJCNN.1992.227280
