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灵长类动物发声中的情绪表达的比较神经学方法。

A comparative neurological approach to emotional expressions in primate vocalizations.

机构信息

Swiss Center for Affective Sciences and Department of Psychology and Sciences of Education, University of Geneva, Geneva, Switzerland.

Swiss Center for Affective Sciences and Department of Psychology and Sciences of Education, University of Geneva, Geneva, Switzerland.

出版信息

Neurosci Biobehav Rev. 2017 Feb;73:182-190. doi: 10.1016/j.neubiorev.2016.12.004. Epub 2016 Dec 16.

DOI:10.1016/j.neubiorev.2016.12.004
PMID:27993605
Abstract

Different approaches from different research domains have crystallized debate over primate emotional processing and vocalizations in recent decades. On one side, researchers disagree about whether emotional states or processes in animals truly compare to those in humans. On the other, a long-held assumption is that primate vocalizations are innate communicative signals over which nonhuman primates have limited control and a mirror of the emotional state of the individuals producing them, despite growing evidence of intentional production for some vocalizations. Our goal is to connect both sides of the discussion in deciphering how the emotional content of primate calls compares with emotional vocal signals in humans. We focus particularly on neural bases of primate emotions and vocalizations to identify cerebral structures underlying emotion, vocal production, and comprehension in primates, and discuss whether particular structures or neuronal networks solely evolved for specific functions in the human brain. Finally, we propose a model to classify emotional vocalizations in primates according to four dimensions (learning, control, emotional, meaning) to allow comparing calls across species.

摘要

近几十年来,来自不同研究领域的不同方法使得灵长类动物情绪处理和发声的争论更加激烈。一方面,研究人员对于动物的情绪状态或过程是否真的与人类的情绪状态或过程相比较存在分歧。另一方面,长期以来的假设是,灵长类动物的发声是先天的交际信号,而非人类灵长类动物对此的控制有限,并且反映了发出这些信号的个体的情绪状态,尽管越来越多的证据表明,一些发声是出于有意产生的。我们的目标是在解读灵长类动物叫声的情绪内容与人类情绪发声信号如何相互联系的过程中,连接讨论的两个方面。我们特别关注灵长类动物情绪和发声的神经基础,以确定情绪、发声产生和理解的大脑结构,并讨论是否存在特定的结构或神经元网络仅在人类大脑中为特定功能而进化。最后,我们提出了一个模型,根据四个维度(学习、控制、情感和意义)对灵长类动物的情绪发声进行分类,以便在物种间进行叫声的比较。

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