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提示认知灵活性:特定项目的转换准备学习。

Cueing cognitive flexibility: Item-specific learning of switch readiness.

作者信息

Chiu Yu-Chin, Egner Tobias

机构信息

Center for Cognitive Neuroscience, Duke University.

出版信息

J Exp Psychol Hum Percept Perform. 2017 Dec;43(12):1950-1960. doi: 10.1037/xhp0000420. Epub 2017 Apr 13.

Abstract

The rich behavioral repertoire of the human species derives from our ability to flexibly reconfigure processing strategies (task sets) in response to changing requirements. This updating of task sets is effortful, as reflected by longer response times when switching a task than repeating it (switch costs). However, some recent data suggest that switch costs can be reduced by cueing switch readiness bottom-up, by associating particular stimuli with frequent switch requirements. This type of "stimulus-control (S-C) learning" would be highly adaptive, as it combines the speed of automatic (bottom-up) processing with the flexibility and generalizability of controlled (top-down) processing. However, it is unclear whether S-C learning of switch readiness is truly possible, and what the underlying mechanisms are. Here we address these questions by pairing specific stimuli with a need to update task-sets either frequently or rarely. In all 3 experiments, we observe robust item-specific switch probability (ISSP) effects as revealed by smaller switch costs for frequent switch items than for rare switch items. By including a neutral condition, we also show that the ISSP effect is primarily driven by S-C learning reducing switch costs in frequent switch items. Furthermore, by employing 3 tasks in Experiment 3, we establish that the ISSP effect reflects an enhancement of general switch readiness, rather than of the readiness to switch to a specific alternate task. These results firmly establish that switch readiness is malleable by item-specific S-C learning processes, documenting that a generalizable state of cognitive flexibility can be primed by a bottom-up stimulus. (PsycINFO Database Record

摘要

人类丰富的行为指令源于我们能够根据不断变化的需求灵活地重新配置处理策略(任务集)。任务集的这种更新是费力的,切换任务时的反应时间比重复任务时更长就反映了这一点(切换成本)。然而,最近的一些数据表明,通过自下而上地提示切换准备状态,即将特定刺激与频繁的切换需求相关联,可以降低切换成本。这种“刺激控制(S-C)学习”将具有高度适应性,因为它将自动(自下而上)处理的速度与受控(自上而下)处理的灵活性和通用性结合了起来。然而,尚不清楚对切换准备状态的S-C学习是否真的可行,以及其潜在机制是什么。在这里,我们通过将特定刺激与频繁或很少更新任务集的需求配对来解决这些问题。在所有3个实验中,我们观察到了强大的项目特定切换概率(ISSP)效应,频繁切换项目的切换成本比罕见切换项目的切换成本小就揭示了这一点。通过纳入一个中性条件,我们还表明,ISSP效应主要是由S-C学习降低频繁切换项目的切换成本所驱动的。此外,在实验3中通过采用3个任务,我们确定ISSP效应反映的是一般切换准备状态的增强,而不是切换到特定替代任务的准备状态的增强。这些结果有力地证明了切换准备状态可通过项目特定的S-C学习过程得到改变,证明了一种可推广的认知灵活性状态可以由自下而上的刺激引发。(PsycINFO数据库记录)

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8d9/5640457/5b6fc287001b/nihms857650f1.jpg

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