Harvard University.
J Cogn Neurosci. 1989 Spring;1(2):171-86. doi: 10.1162/jocn.1989.1.2.171.
In the primate visual system, the identification of objects and the processing of spatial information are accomplished by different cortical pathways. The computational properties of this "two-systems" design were explored by constructing simplifying connectionist models. The models were designed to simultaneously classify and locate shapes that could appear in multiple positions in a matrix, and the ease of forming representations of the two kinds of information was measured. Some networks were designed so that all hidden nodes projected to all output nodes, whereas others had the hidden nodes split into two groups, with some projecting to the output nodes that registered shape identity and the remainder projecting to the output nodes that registered location. The simulations revealed that splitting processing into separate streams for identifying and locating a shape led to better performance only under some circumstances. Provided that enough computational resources were available in both streams, split networks were able to develop more efficient internal representations, as revealed by detailed analyses of the patterns of weights between connections.
在灵长类动物的视觉系统中，物体的识别和空间信息的处理是由不同的皮质通路完成的。通过构建简化的连接主义模型，探索了这种“双系统”设计的计算特性。这些模型旨在同时对可以出现在矩阵中多个位置的形状进行分类和定位，并测量形成两种信息表示的难易程度。一些网络的设计使得所有隐藏节点都投射到所有输出节点，而另一些网络则将隐藏节点分为两组，一些投射到注册形状身份的输出节点，其余投射到注册位置的输出节点。模拟结果表明，仅在某些情况下，将处理过程分为识别和定位形状的单独流才能提高性能。只要两个流中都有足够的计算资源，分割网络就能够通过对连接之间权重模式的详细分析，开发出更有效的内部表示。
