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地形与眼优势:一个探索正相关关系的模型

Topography and ocular dominance: a model exploring positive correlations.

作者信息

Goodhill G J

机构信息

University of Edinburgh, Centre for Cognitive Sciences, UK.

出版信息

Biol Cybern. 1993;69(2):109-18. doi: 10.1007/BF00226194.

Abstract

The map from eye to brain in vertebrates is topographic, i.e., neighbouring points in the eye map to neighbouring points in the brain. In addition, when two eyes innervate the same target structure, the two sets of fibres segregate to form ocular dominance stripes. Experimental evidence from the frog and goldfish suggests that these two phenomena may be subserved by the same mechanisms. We present a computational model that addresses the formation of both topography and ocular dominance. The model is based on a form of competitive learning with subtractive enforcement of a weight normalization rule. Inputs to the model are distributed patterns of activity presented simultaneously in both eyes. An important aspect of this model is that ocular dominance segregation can occur when the two eyes are positively correlated, whereas previous models have tended to assume zero or negative correlations between the eyes. This allows investigation of the dependence of the pattern of stripes on the degree of correlation between the eyes: we find that increasing correlation leads to narrower stripes. Experiments are suggested to test this prediction.

摘要

脊椎动物中从眼睛到大脑的映射是拓扑性的,即眼睛中的相邻点映射到大脑中的相邻点。此外,当两只眼睛支配同一目标结构时,两组纤维会分离形成眼优势条纹。来自青蛙和金鱼的实验证据表明,这两种现象可能由相同的机制支持。我们提出了一个计算模型,该模型解决了拓扑结构和眼优势的形成问题。该模型基于一种竞争学习形式,通过减法执行权重归一化规则。模型的输入是同时在两只眼睛中呈现的分布式活动模式。该模型的一个重要方面是,当两只眼睛呈正相关时,眼优势分离就会发生,而以前的模型往往假设眼睛之间的相关性为零或负相关。这使得我们能够研究条纹模式对眼睛之间相关程度的依赖性:我们发现相关性增加会导致条纹变窄。建议进行实验来检验这一预测。

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