Contour integration and segmentation with self-organized lateral connections
Contour integration and segmentation with self-organized lateral connections
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DOI：
10.1007/s00422-003-0435-5
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发表时间：
2004-02-01
影响因子：
1.9
通讯作者：
Miikkulainen, R
中科院分区：
文献类型：
--
作者：
Choe, Y;Miikkulainen, R
低水平视觉中的轮廓整合被认为是基于具有相似方向调谐的神经元之间的横向相互作用而发生的。这种相互作用如何在大脑中产生一直是一个悬而未决的问题。我们的模型表明，互动可以通过输入驱动的自组织来学习，即，通过同样的机制，在视觉皮层的许多其他发展和功能现象的基础。该模型还显示了如何同步发射介导的这些横向连接可以代表轮廓的感知，从而导致类似于人类轮廓整合的性能。该模型进一步表明，轮廓整合性能在视野的不同部分可能会有所不同，这取决于它们在发育过程中接收到的输入分布。因此，该模型将重要的感知现象建立在详细的神经机制上，以便可以测量各种结构和功能特性，并进行预测以指导未来的实验。
Contour integration in low-level vision is believed to occur based on lateral interaction between neurons with similar orientation tuning. How such interactions could arise in the brain has been an open question. Our model suggests that the interactions can be learned through input-driven self-organization, i.e., through the same mechanism that underlies many other developmental and functional phenomena in the visual cortex. The model also shows how synchronized firing mediated by these lateral connections can represent the percept of a contour, resulting in performance similar to that of human contour integration. The model further demonstrates that contour integration performance can differ in different parts of the visual field, depending on what kinds of input distributions they receive during development. The model thus grounds an important perceptual phenomenon onto detailed neural mechanisms so that various structural and functional properties can be measured and predictions can be made to guide future experiments.