DocumentCode :
2067037
Title :
Self-organization of mosaics in artificial neural networks for the visual cortex of the brain
Author :
Garliauskas, Algis
Author_Institution :
Lab. of Neuroinformatics, Inst. of Math. & Informatics, Vilnius, Lithuania
fYear :
2001
fDate :
18-21 Nov. 2001
Firstpage :
259
Lastpage :
264
Abstract :
The expressed layered structures in the cereberal and cerebellar cortices of the brain are attributed to most animals while the human and some primate neostriatum neurons are laid out as clustered higher and lower cell density mosaics. These ordered structures are probably formed by a self-organizing mechanism. which is widely discussed in the present paper. Considering theoretical principles and neuronal networks, the N-shaped current-voltage relation was included in the model and its influence on the stability and conditions of self-organization discussed. The formation of ordered structures was founded in vicinity of the equilibrium point. The concomitant computational experiment is made.
Keywords :
brain models; neurophysiology; physiological models; self-organising feature maps; stability; vision; N-shaped current-voltage relation; artificial neural networks; brain; cell density; cerebellar cortices; cereberal cortices; clustered mosaics; expressed layered structures; mosaic self-organization; primate neostriatum neurons; stability; visual cortex; Animal structures; Artificial neural networks; Biological neural networks; Brain modeling; Humans; Intelligent networks; Laboratories; Mathematics; Neurons; Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Systems Conference, The Seventh Australian and New Zealand 2001
Print_ISBN :
1-74052-061-0
Type :
conf
DOI :
10.1109/ANZIIS.2001.974087
Filename :
974087
Link To Document :
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