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基于生物学的高级认知计算模型。

Biologically based computational models of high-level cognition.

作者信息

O'Reilly Randall C

机构信息

Department of Psychology, University of Colorado Boulder, Boulder, CO 80309, USA.

出版信息

Science. 2006 Oct 6;314(5796):91-4. doi: 10.1126/science.1127242.

Abstract

Computer models based on the detailed biology of the brain can help us understand the myriad complexities of human cognition and intelligence. Here, we review models of the higher level aspects of human intelligence, which depend critically on the prefrontal cortex and associated subcortical areas. The picture emerging from a convergence of detailed mechanistic models and more abstract functional models represents a synthesis between analog and digital forms of computation. Specifically, the need for robust active maintenance and rapid updating of information in the prefrontal cortex appears to be satisfied by bistable activation states and dynamic gating mechanisms. These mechanisms are fundamental to digital computers and may be critical for the distinctive aspects of human intelligence.

摘要

基于大脑详细生物学特性的计算机模型有助于我们理解人类认知和智力的诸多复杂性。在此,我们回顾人类智力高级层面的模型,这些模型严重依赖前额叶皮层及相关的皮层下区域。从详细的机制模型和更抽象的功能模型融合中浮现出的图景代表了模拟计算和数字计算形式之间的一种综合。具体而言,前额叶皮层中对信息进行稳健的主动维持和快速更新的需求似乎通过双稳态激活状态和动态门控机制得以满足。这些机制是数字计算机的基础,可能对人类智力的独特方面至关重要。

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