Spratling M W
Department of Informatics, King's College London, Strand, London, WC2R 2LS, UK.
Cogn Process. 2016 Aug;17(3):279-305. doi: 10.1007/s10339-016-0765-6. Epub 2016 Apr 27.
Previous work has shown that predictive coding can provide a detailed explanation of a very wide range of low-level perceptual processes. It is also widely believed that predictive coding can account for high-level, cognitive, abilities. This article provides support for this view by showing that predictive coding can simulate phenomena such as categorisation, the influence of abstract knowledge on perception, recall and reasoning about conceptual knowledge, context-dependent behavioural control, and naive physics. The particular implementation of predictive coding used here (PC/BC-DIM) has previously been used to simulate low-level perceptual behaviour and the neural mechanisms that underlie them. This algorithm thus provides a single framework for modelling both perceptual and cognitive brain function.
先前的研究表明,预测编码能够对非常广泛的低级感知过程作出详细解释。人们还普遍认为,预测编码能够解释高级认知能力。本文通过表明预测编码能够模拟诸如分类、抽象知识对感知的影响、对概念知识的回忆与推理、上下文依赖的行为控制以及朴素物理学等现象,为这一观点提供了支持。此处使用的预测编码的具体实现方式(PC/BC-DIM)此前已被用于模拟低级感知行为及其背后的神经机制。因此,该算法为模拟感知和认知脑功能提供了一个单一框架。