Crowding: a neuroanalytic approach.
Crowding: a neuroanalytic approach.
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拥挤：一种神经分析方法。
DOI：
10.1167/7.2.16
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发表时间：
2007
影响因子：
1.8
通讯作者：
Likova,LoraT
中科院分区：
文献类型：
--
作者：
Tyler,ChristopherW;Likova,LoraT
拥挤的机制进行了分析，在中介的感知特性，如最初描述的W。Korte（1923）.要充分理解字母识别中的拥挤现象，需要对大量备选方案中的识别过程进行详细的概念化。所观察到的掩蔽特性表明操作递归抑制V3到V1的拥挤效应的一个组成部分。拥挤的神经基础（模板匹配，功能集成器，注意力功能连接，命题枚举，注意力跟踪和放松网络概念）的六个帐户的可扩展性，然后评估有关的任务编码的字母形式的空间结构。我们的结论是松弛网络的方法是最合理的假设，占全谱字母识别性能。
The mechanisms underlying crowding are analyzed in terms of explicit neural processes mediating its perceptual characteristics as originally described by W. Korte (1923). A full understanding of crowding in letter recognition requires a detailed conceptualization of the process of recognition among large numbers of alternatives. The observed masking properties suggest the operation of recursive inhibition from V3 to V1 as a component of the crowding effect. The plausibility of six accounts of the neural basis of crowding (the template matching, feature integrator, attentional feature conjunction, propositional enumeration, attentional tracking, and relaxation network concepts) is then assessed in relation to the task of encoding the spatial structure of the letter forms. We conclude that the relaxation network approach is the most plausible hypothesis to account for the full-spectrum letter recognition performance.