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为习惯形成建立行为和神经回路模型的接口。

Interfacing behavioral and neural circuit models for habit formation.

机构信息

Department of Physiology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.

出版信息

J Neurosci Res. 2020 Jun;98(6):1031-1045. doi: 10.1002/jnr.24581. Epub 2020 Jan 8.

Abstract

Habits are an important mechanism by which organisms can automate the control of behavior to alleviate cognitive demand. However, transitions to habitual control are risky because they lead to inflexible responding in the face of change. The question of how the brain controls transitions into habit is thus an intriguing one. How do we regulate when our repeated actions become automated? When is it advantageous or disadvantageous to release actions from cognitive control? Decades of research have identified a variety of methods for eliciting habitual responding in animal models. Progress has also been made to understand which brain areas and neural circuits control transitions into habit. Here, I discuss existing research on behavioral and neural circuit models for habit formation (with an emphasis on striatal circuits), and discuss strategies for combining information from different paradigms and levels of analysis to prompt further progress in the field.

摘要

习惯是生物体自动控制行为以减轻认知需求的重要机制。然而,向习惯控制的转变是有风险的,因为它们会导致在面对变化时反应僵化。因此,大脑如何控制向习惯的转变是一个有趣的问题。我们如何调节我们的重复动作何时变得自动化?何时将动作从认知控制中释放出来是有利还是不利?几十年来的研究已经确定了在动物模型中诱发习惯反应的各种方法。在理解哪些大脑区域和神经回路控制向习惯的转变方面也取得了进展。在这里,我讨论了关于习惯形成的行为和神经回路模型的现有研究(重点是纹状体回路),并讨论了结合来自不同范式和分析水平的信息的策略,以促进该领域的进一步发展。

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