Department of Psychology, University of Toronto , Toronto, ON, USA.
Divisions of Humanities and Social Sciences, California Institute of Technology , Pasadena, CA, USA.
Soc Neurosci. 2021 Feb;16(1):57-67. doi: 10.1080/17470919.2019.1692068. Epub 2019 Nov 21.
Psychological theories posit that affective experiences can be decomposed into component constituents, yet disagree on the level of representation of these components. Affective experiences have been previously described as emerging from core dimensions of valence and arousal. However, this view needs to be reconciled with accounts of valence processing in appetitive and aversive circuits from the neuroscience literature. Here we offer an account of affect that allows for both perspectives but compares across levels of analysis. At one level of analysis, valence and arousal are observed already in the properties of encountered stimuli and the appetitive and aversive neural circuits that engage accordingly. At another level of analysis, the explicit experiential aspect of affective processes are compressed and appraised in a manner that allows these experiences to be organized along valence and arousal axes. We review both the behavioral neuroscience evidence on appetitive and aversive circuits as well as the cognitive neuroscience literature on compression in information coding across multiple domains of processing. We argue that these processes are domain-general and adapt these principles to provide a perspective on how valence can be represented at multiple scales in the brain.
心理理论假设情感体验可以分解为组成成分,但对于这些成分的表示水平存在分歧。情感体验之前被描述为从效价和唤醒的核心维度中产生。然而,这种观点需要与神经科学文献中关于奖赏和厌恶回路中效价加工的解释相协调。在这里,我们提供了一种既能容纳这两种观点又能进行跨层次分析的情感解释。在一个分析层面上,效价和唤醒已经在遇到的刺激的属性和相应参与的奖赏和厌恶神经回路中被观察到。在另一个分析层面上,情感过程的明确体验方面被压缩和评价,以允许这些经验沿着效价和唤醒轴进行组织。我们回顾了关于奖赏和厌恶回路的行为神经科学证据,以及关于信息编码在多个处理领域中的压缩的认知神经科学文献。我们认为这些过程是普遍存在的,并将这些原则应用于如何在大脑的多个尺度上表示效价。