God, the devil, and the details: Fleshing out the predictive processing framework

被引：6

作者：

Rasmussen, Daniel ^{[1
]}

Eliasmith, Chris ^{[1
]}

机构：

[1] Univ Waterloo, Ctr Theoret Neurosci, Waterloo, ON N2L 3G1, Canada

来源：

BEHAVIORAL AND BRAIN SCIENCES | 2013年 / 36卷 / 03期

关键词：

MODEL;

D O I：

10.1017/S0140525X12002154

中图分类号：

B84 [心理学];

学科分类号：

04 ; 0402 ;

摘要：

The predictive processing framework lacks many of the architectural and implementational details needed to fully investigate or evaluate the ideas it presents. One way to begin to fill in these details is by turning to standard control-theoretic descriptions of these types of systems (e.g., Kalman filters), and by building complex, unified computational models in biologically realistic neural simulations.

引用

页码：223 / 224

页数：2

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