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