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The neural and computational systems of social learning.
Nature Reviews Neuroscience ( IF 28.7 ) Pub Date : 2020-03-12 , DOI: 10.1038/s41583-020-0276-4
Andreas Olsson 1 , Ewelina Knapska 2 , Björn Lindström 1, 3
Affiliation  

Learning the value of stimuli and actions from others - social learning - adaptively contributes to individual survival and plays a key role in cultural evolution. We review research across species targeting the neural and computational systems of social learning in both the aversive and appetitive domains. Social learning generally follows the same principles as self-experienced value-based learning, including computations of prediction errors and is implemented in brain circuits activated across task domains together with regions processing social information. We integrate neural and computational perspectives of social learning with an understanding of behaviour of varying complexity, from basic threat avoidance to complex social learning strategies and cultural phenomena.

中文翻译:

社会学习的神经系统和计算系统。

从他人那里学习刺激和行动的价值-社会学习-适应性地有助于个人生存,并在文化发展中发挥关键作用。我们回顾了针对物种的研究,这些研究针对的是在厌恶和嗜好领域中社会学习的神经和计算系统。社交学习通常遵循与基于经验的基于价值的学习相同的原理,包括预测误差的计算,并在跨任务域激活的大脑回路以及处理社交信息的区域中实现。我们将社会学习的神经学和计算学观点与对各种复杂行为的理解相结合,从基本的避免威胁到复杂的社会学习策略和文化现象。
更新日期:2020-03-12
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