规范性决策计算是灵长类合作的行为和神经特征的基础
Weikang Shi1,2,3, Olivia C Meisner1,2, Monika P Jadi1,3,4
1Department of Neuroscience, Yale University School of Medicine, New Haven, CT 06510, USA.
bioRxiv : the preprint server for biology
|November 24, 2025
概括
研究人员发现,灵长类动物的背中前额叶皮层 (dmPFC) 如何利用社会注视来积累合作决策的证据. 这种神经机制通过整合合作伙伴的行动和目光线索来指导大黄蜂的合作.
科学领域:
- 神经科学是一个神经科学.
- 灵长类动物的行为
- 社会认知是指社会认知.
背景情况:
- 合作行为依赖于整合社会线索,但基本的神经机制尚不清楚.
- 背中前额叶皮层 (dmPFC) 参与社会决策,但其在合作中的具体作用尚不清楚.
研究的目的:
- 研究灵长类dmPFC在合作决策过程中视线依赖的社会证据积累的神经机制.
- 将dmPFC中的神经活动与社会合作的计算模型联系起来.
主要方法:
- 在dmPFC中利用单个神经元记录,自由移动的马尔莫塞特二执行合作任务.
- 应用漂移扩散模型来分析行为数据和神经活动模式.
- 检查了人口层面的神经动态及其与合作成功的关系.
主要成果:
- 在dmPFC中依赖视线的社会证据积累解释了马尔莫塞特的合作行为.
- 在dmPFC中神经活动,包括升级活动和基线发射,与证据积累和决策偏差直接相关.
- dmPFC人口活动几何反映了社会证据的强度,并预测了合作成功.
结论:
- 灵长类动物dmPFC实现了多层次的神经机制,将社会感官信息转化为合作决策.
- 这项研究将正统的计算过程 (证据积累) 与自然主义灵长类环境中的合作行为联系起来.
- 这些发现为了解社会线索如何指导合作行动提供了神经基础.
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