Department of Psychology, University of Edinburgh, 7 George Square, Edinburgh EH9 9JZ, UK.
School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, EH8 9AD, UK.
Trends Cogn Sci. 2014 Sep;18(9):451-6. doi: 10.1016/j.tics.2014.05.006. Epub 2014 Jun 6.
The use of forward models (mechanisms that predict the future state of a system) is well established in cognitive and computational neuroscience. We compare and contrast two recent, but interestingly divergent, accounts of the place of forward models in the human cognitive architecture. On the Auxiliary Forward Model (AFM) account, forward models are special-purpose prediction mechanisms implemented by additional circuitry distinct from core mechanisms of perception and action. On the Integral Forward Model (IFM) account, forward models lie at the heart of all forms of perception and action. We compare these neighbouring but importantly different visions and consider their implications for the cognitive sciences. We end by asking what kinds of empirical research might offer evidence favouring one or the other of these approaches.
在认知和计算神经科学中，使用前向模型（预测系统未来状态的机制）已经得到了很好的建立。我们比较和对比了最近的两种但有趣的不同观点，即前向模型在人类认知架构中的作用。在辅助前向模型（AFM）的观点中，前向模型是由感知和行动的核心机制之外的额外电路实现的专用预测机制。在前向模型（IFM）的观点中，前向模型是所有形式的感知和行动的核心。我们比较了这些相邻但重要的不同观点，并考虑了它们对认知科学的影响。最后，我们询问了什么样的实证研究可能为这两种方法中的一种或另一种提供证据。
