用 "嵌入式大脑 "方法理解反社会行为。

IF 16.7 1区 心理学 Q1 BEHAVIORAL SCIENCES Trends in Cognitive Sciences Pub Date : 2024-02-01 Epub Date: 2023-09-15 DOI:10.1016/j.tics.2023.08.013
Essi Viding, Eamon McCrory, Arielle Baskin-Sommers, Stephane De Brito, Paul Frick
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引用次数: 0

摘要

反社会行为(ASB)会给个人和社会带来巨大损失。认知神经科学具有揭示反社会行为发展风险的潜力,但它无法在 "本质主义 "框架内实现这一潜力,因为该框架将大脑和认知与环境隔离开来。在此,我们提出了在关系背景下研究大脑和认知发展的社会交易和迭代展开的案例。我们将这种方法称为 "嵌入式大脑 "研究,它是全面了解发育过程中如何产生 ASB 风险所必需的。我们需要集中精力,开发和统一实现这种方法的方法,并从中获益,以改进对反社会行为的预防和干预。
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An 'embedded brain' approach to understanding antisocial behaviour.

Antisocial behaviour (ASB) incurs substantial costs to the individual and society. Cognitive neuroscience has the potential to shed light on developmental risk for ASB, but it cannot achieve this potential in an 'essentialist' framework that focuses on the brain and cognition isolated from the environment. Here, we present the case for studying the social transactional and iterative unfolding of brain and cognitive development in a relational context. This approach, which we call the study of the 'embedded brain', is needed to fully understand how risk for ASB arises during development. Concentrated efforts are required to develop and unify methods to achieve this approach and reap the benefits for improved prevention and intervention of ASB.

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来源期刊
Trends in Cognitive Sciences
Trends in Cognitive Sciences 医学-行为科学
CiteScore
27.90
自引率
1.50%
发文量
156
审稿时长
6-12 weeks
期刊介绍: Essential reading for those working directly in the cognitive sciences or in related specialist areas, Trends in Cognitive Sciences provides an instant overview of current thinking for scientists, students and teachers who want to keep up with the latest developments in the cognitive sciences. The journal brings together research in psychology, artificial intelligence, linguistics, philosophy, computer science and neuroscience. Trends in Cognitive Sciences provides a platform for the interaction of these disciplines and the evolution of cognitive science as an independent field of study.
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