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心流状态的神经认知模型与小脑内部模型的作用。

A neurocognitive model of flow states and the role of cerebellar internal models.

机构信息

Centre for Mental Health, Swinburne Neuroimaging (SNI), Swinburne University of Technology, Hawthorn, VIC, Australia.

Department of Psychological Sciences, Swinburne University of Technology, Hawthorn, VIC, Australia.

出版信息

Behav Brain Res. 2021 Jun 11;407:113244. doi: 10.1016/j.bbr.2021.113244. Epub 2021 Mar 17.

DOI:10.1016/j.bbr.2021.113244
PMID:33744335
Abstract

This paper conceptualizes a comprehensive body of neurocognitive knowledge of flow states based on two primary competing neurocognitive theories underpinning flow's purported functioning, the transient hypofrontality hypothesis and the network synchronization model. With these models in mind, a new neurocognitive model of flow is synthesized based on the similarities of these pre-existing theories and utilizing the internal models of the cerebellum to elucidate the differences and crossover in the current flow research. Ultimately, this paper works to provide a platform for researchers to use as a future reference and for hypothesis generation.

摘要

本文基于两种主要的神经认知理论,即短暂的前额叶功能低下假说和网络同步模型,对心流状态的神经认知知识进行了全面的概念化。考虑到这些模型,本文基于这些已有理论的相似性,并利用小脑的内模式,综合了一种新的心流神经认知模型,以阐明当前心流研究中的差异和交叉。最终,本文旨在为研究人员提供一个未来参考和假设生成的平台。

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