DEVELOPMENT OF ELEMENTARY NUMERICAL ABILITIES - A NEURONAL MODEL
DEVELOPMENT OF ELEMENTARY NUMERICAL ABILITIES - A NEURONAL MODEL
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DOI：
10.1162/jocn.1993.5.4.390
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发表时间：
1993-09-01
影响因子：
3.2
通讯作者：
CHANGEUX, JP
中科院分区：
文献类型：
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作者：
DEHAENE, S;CHANGEUX, JP
尽管人类婴儿和一些动物物种缺乏语言，但它们具有一些基本的数字处理能力。这些能力包括识别一个给定的数字是视觉上或视觉上呈现的能力，以及在发展的后期阶段，比较两个数字并决定哪个更大的能力。我们提出了一个模型，这些能力在一个正式的神经网络的发展。最初，该模型只配备了无序的数量检测器。因此，它可以检测输入集的数量，并且可以被调节以相应地作出反应。在稍后的阶段中，短期记忆网络的加入被证明足以发展数字比较能力。我们的计算机模拟占了几个现象，在数值域，包括距离效应和费希纳定律的号码。他们还表明，婴儿的数字检测能力可以解释，而无需假设婴儿可以计数。该模型的关键组成部分的神经生物学基础进行了讨论。
Despite their lack of language, human infants and several animal species possess some elementary abilities for numerical processing. These include the ability to recognize that a given numerosity is being presented visually or auditorily, and, at a later stage of development, the ability to compare two numerosities and to decide which is larger. We propose a model for the development of these abilities in a formal neuronal network. Initially, the model is equipped only with unordered numerosity detectors. it can therefore detect the numerosity of an input set and can be conditioned to react accordingly. In a later stage, the addition of a short-term memory network is shown to be sufficient for number comparison abilities to develop. Our computer simulations account for several phenomena in the numerical domain, including the distance effect and Fechner's law for numbers. They also demonstrate that infants' numerosity detection abilities may be explained without assuming that infants can count. The neurobiological bases of the critical components of the model are discussed.