DocumentCode :
328269
Title :
A self-organizing model of topographic mappings between two nerve fields with excitatory waves
Author :
Kurata, Koji ; Shirakura, Jun
Author_Institution :
Dept. of Biophys. Eng., Osaka Univ., Japan
Volume :
1
fYear :
1993
fDate :
25-29 Oct. 1993
Firstpage :
463
Abstract :
We propose a new model of topographic mapping organization based on nerve fields which allow traveling excitatory waves. The behavior of the model is understood from the viewpoint of phase-locking between excitation patterns in two nerve fields. Computer simulations have shown the model to be able to refine faintly topological mappings into almost complete ones. The model is different from any previous ones of this kind in that the organization depends on the spatio-temporal structure of the excitation patterns on the presynaptic nerve field.
Keywords :
neural nets; neurophysiology; physiological models; self-organising feature maps; excitation patterns; faintly topological mapping refinement; phase-locking; presynaptic nerve field; self-organizing model; topographic mapping organization; traveling excitatory waves; Brain; Computer simulation; Detectors; Humans; Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN :
0-7803-1421-2
Type :
conf
DOI :
10.1109/IJCNN.1993.713954
Filename :
713954
Link To Document :
بازگشت