Cognitive flexibility as the shifting of brain network flows by flexible neural representations

IF 4.9 2区 心理学 Q1 BEHAVIORAL SCIENCES
Michael W Cole
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引用次数: 0

Abstract

Our ability to overcome habitual responses in favor of goal-driven novel responses depends on frontoparietal cognitive control networks (CCNs). Recent and ongoing work is revealing the brain network and information processes that allow CCNs to generate cognitive flexibility. First, working memory processes necessary for flexible maintenance and manipulation of goal-relevant representations were recently found to depend on short-term network plasticity (in contrast to persistent activity) within CCN regions. Second, compositional (i.e. abstract and reusable) rule representations maintained within CCNs have been found to reroute network activity flows from stimulus to response, enabling flexible behavior. Together, these findings suggest cognitive flexibility is enhanced by CCN-coordinated network mechanisms, utilizing compositional reuse of neural representations and network flows to flexibly accomplish task goals.

认知灵活性是灵活神经表征对大脑网络流的转移
我们能否克服习惯性反应而做出目标驱动的新反应,取决于额顶认知控制网络(CCNs)。最近和正在进行的研究揭示了使认知控制网络产生认知灵活性的大脑网络和信息过程。首先,最近发现灵活维持和操纵目标相关表征所需的工作记忆过程取决于 CCN 区域内的短期网络可塑性(与持续活动相反)。其次,在CCN内维持的组成性(即抽象和可重复使用)规则表征被发现可以改变从刺激到反应的网络活动流向,从而实现灵活的行为。这些发现共同表明,CCN协调网络机制增强了认知灵活性,利用神经表征和网络流的组合再利用,灵活地完成任务目标。
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来源期刊
Current Opinion in Behavioral Sciences
Current Opinion in Behavioral Sciences Neuroscience-Cognitive Neuroscience
CiteScore
10.90
自引率
2.00%
发文量
135
期刊介绍: Current Opinion in Behavioral Sciences is a systematic, integrative review journal that provides a unique and educational platform for updates on the expanding volume of information published in the field of behavioral sciences.
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