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竞争与危险环境下虚拟觅食中感知斑块价值的神经编码。

Neural encoding of perceived patch value during competitive and hazardous virtual foraging.

机构信息

Columbia University, Department of Psychology, 406 Schermerhorn Hall 1190 Amsterdam Ave., New York, NY, 10027, USA.

Department of Humanities and Social Sciences and California Institute of Technology, 1200 E California Blvd, HSS 228-77, Pasadena, CA, 91125, USA.

出版信息

Nat Commun. 2021 Sep 16;12(1):5478. doi: 10.1038/s41467-021-25816-9.

Abstract

Natural observations suggest that in safe environments, organisms avoid competition to maximize gain, while in hazardous environments the most effective survival strategy is to congregate with competition to reduce the likelihood of predatory attack. We probed the extent to which survival decisions in humans follow these patterns, and examined the factors that determined individual-level decision-making. In a virtual foraging task containing changing levels of competition in safe and hazardous patches with virtual predators, we demonstrate that human participants inversely select competition avoidant and risk diluting strategies depending on perceived patch value (PPV), a computation dependent on reward, threat, and competition. We formulate a mathematically grounded quantification of PPV in social foraging environments and show using multivariate fMRI analyses that PPV is encoded by mid-cingulate cortex (MCC) and ventromedial prefrontal cortices (vMPFC), regions that integrate action and value signals. Together, these results suggest humans utilize and integrate multidimensional information to adaptively select patches highest in PPV, and that MCC and vMPFC play a role in adapting to both competitive and predatory threats in a virtual foraging setting.

摘要

自然观察表明,在安全的环境中,生物会避免竞争以最大化收益,而在危险的环境中,最有效的生存策略是与竞争聚集在一起,以降低被捕食的可能性。我们探究了人类的生存决策在多大程度上遵循这些模式,并研究了决定个体决策的因素。在一个包含安全和危险斑块中竞争程度变化的虚拟觅食任务中,有虚拟捕食者,我们证明人类参与者根据感知的斑块价值(PPV)反向选择竞争回避和风险稀释策略,这是一种依赖于奖励、威胁和竞争的计算。我们在社会觅食环境中提出了一种基于数学的 PPV 量化方法,并使用多变量 fMRI 分析表明,PPV 由中央扣带皮层(MCC)和腹内侧前额叶皮层(vMPFC)编码,这些区域整合了动作和价值信号。总之,这些结果表明人类利用和整合多维信息来适应性地选择最高 PPV 的斑块,而 MCC 和 vMPFC 在虚拟觅食环境中适应竞争和捕食威胁方面发挥作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4944/8446065/857db31c5043/41467_2021_25816_Fig1_HTML.jpg

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