Bubic Andreja, von Cramon D Yves, Schubotz Ricarda I
Department of Cognitive Neurology, Max Planck Institute for Human Cognitive and Brain Sciences Leipzig, Germany.
Front Hum Neurosci. 2010 Mar 22;4:25. doi: 10.3389/fnhum.2010.00025. eCollection 2010.
The term "predictive brain" depicts one of the most relevant concepts in cognitive neuroscience which emphasizes the importance of "looking into the future", namely prediction, preparation, anticipation, prospection or expectations in various cognitive domains. Analogously, it has been suggested that predictive processing represents one of the fundamental principles of neural computations and that errors of prediction may be crucial for driving neural and cognitive processes as well as behavior. This review discusses research areas which have recognized the importance of prediction and introduces the relevant terminology and leading theories in the field in an attempt to abstract some generative mechanisms of predictive processing. Furthermore, we discuss the process of testing the validity of postulated expectations by matching these to the realized events and compare the subsequent processing of events which confirm to those which violate the initial predictions. We conclude by suggesting that, although a lot is known about this type of processing, there are still many open issues which need to be resolved before a unified theory of predictive processing can be postulated with regard to both cognitive and neural functioning.
“预测性大脑”这一术语描绘了认知神经科学中最相关的概念之一,它强调了“展望未来”的重要性,即在各种认知领域中的预测、准备、预期、前瞻性思考或期望。类似地,有人提出预测性处理是神经计算的基本原理之一,并且预测误差对于驱动神经和认知过程以及行为可能至关重要。本综述讨论了已经认识到预测重要性的研究领域,并介绍了该领域的相关术语和主要理论,试图提炼出预测性处理的一些生成机制。此外,我们讨论了通过将假设的期望与实际发生的事件进行匹配来检验其有效性的过程,并比较了对证实与违背初始预测的事件的后续处理。我们的结论是,尽管对于这种类型的处理已经了解很多,但在能够提出关于认知和神经功能的预测性处理统一理论之前,仍有许多未解决的问题需要解决。