Self-organization of mosaics in artificial neural networks for the visual cortex of the brain

A. Garliauskas
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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.
大脑视觉皮层人工神经网络中马赛克的自组织
大脑皮层和小脑皮层的表达层状结构归因于大多数动物,而人类和一些灵长类动物的新纹状体神经元是群集的高细胞密度和低细胞密度的马赛克。这些有序结构可能是由自组织机制形成的。本文对此进行了广泛的讨论。结合理论原理和神经网络,将n形电流-电压关系纳入模型,讨论了n形电流-电压关系对自组织稳定性和条件的影响。在平衡点附近建立了有序结构的形成。并进行了相应的计算实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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