The optimal human ventral stream from estimates of the complexity of visual objects.
The optimal human ventral stream from estimates of the complexity of visual objects.
复制标题
根据视觉对象复杂性的估计得出最佳的人类腹侧流。
DOI：
10.1007/s00422-006-0056-x
复制
发表时间：
2006
影响因子：
1.9
通讯作者：
Changizi,MarkA
中科院分区：
文献类型：
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作者：
Changizi,MarkA
灵长类动物视觉皮质负责识别物体的部分被分成十几个区域，这些区域在某种程度上是有层次地组织的(该区域被称为腹侧流)。为什么会有大约这么多的层级？在这里，我提出了一个通用的信息处理层次模型，并展示了所需神经元的总数如何取决于层次层次的数量和必须识别的视觉对象的复杂性。由于对文字的识别似乎发生在与其他视觉对象类似的颞下皮质部位，因此文字的复杂性可能与人类其他视觉对象的复杂性相似；因此，我测量了文字的复杂性，并将其用作更一般视觉对象的复杂性的近似估计。然后，我证明了，当层级的数量大约为15时，容纳这种复杂性的视觉对象的信息处理层级拥有最少数量的神经元。
The part of the primate visual cortex responsible for the recognition of objects is parcelled into about a dozen areas organized somewhat hierarchically (the region is called theventral stream). Why are there approximately this many hierarchical levels? Here I put forth a generic information-processing hierarchical model, and show how the total number of neurons required depends on the number of hierarchical levels and on the complexity of visual objects that must be recognized. Because the recognition of written words appears to occur in a similar part of inferotemporal cortex as other visual objects, the complexity of written words may be similar to that of other visual objects for humans; for this reason, I measure the complexity of written words, and use it as an approximate estimate of the complexity more generally of visual objects. I then show that the information-processing hierarchy that accommodates visual objects of that complexity possesses the minimum number of neurons when the number of hierarchical levels is approximately 15.