Nature, nurture, and the development of functional specializations: A computational approach
Nature, nurture, and the development of functional specializations: A computational approach
复制标题
自然、后天和功能专业化的发展：一种计算方法
DOI：
--
复制
发表时间：
1997
期刊：
影响因子：
--
通讯作者：
R. Jacobs
中科院分区：
文献类型：
--
作者：
R. Jacobs
近年来，由于越来越多的证据表明，经验依赖性过程在决定大脑区域的功能特性方面比以前想象的更有影响力，因此在获得功能专业化方面赋予先天和后天的角色已经被修改。因此，我们可以研究在功能特化的获得中发挥作用的发展原则。这篇文章研究了一个假设，即结构-功能对应的组合加上模块之间的竞争导致功能专业化。这一原则已经在一系列被称为“专家混合”架构的神经网络架构中得到了实例化。这些架构对结构-功能关系很敏感，因为它们经常学习为每个任务分配一个结构与该任务匹配的网络。这里所提倡的观点代表了模块化的本土主义和建构主义观点之间的中间立场。
The roles assigned to nature and nurture in the acquisition of functional specializations have been modified in recent years due to increasing evidence that experience-dependent processes are more influential in determining a brain region’s functional properties than was previously supposed. Consequently, one may study the developmental principles that play a role in the acquisition of functional specializations. This article studies the hypothesis that a combination of structure-function correspondences plus the use of competition between modules leads to functional specializations. This principle has been instantiated in a family of neural network architectures referred to as “mixtures-ofexperts” architectures. These architectures are sensitive to structure-function relationships in the sense that they often learn to allocate to each task a network whose structure is well matched to that task. The viewpoint advocated here represents a middle ground between nativist and constructivist views of modularity.
影响因子：
4.1
作者：
OJEMANN, G;OJEMANN, J;BERGER, M
通讯作者：
BERGER, M