神经证据积累的个人间对齐,以社会交换的信任
Jamal Esmaily1,2,3, Sajjad Zabbah4,5,6, Reza Ebrahimpour7
1Department of General Psychology and Education, Ludwig Maximillian University, Munich, Germany.
eLife
|December 21, 2023
概括
人类将他们的私人不确定性信念与社会信息结合起来,影响合作. 这项研究揭示了共享不确定性和社会调整背后的神经计算机制.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 决策科学 决策科学 决策科学
背景情况:
- 关于不确定性的私人信念具有独特的神经和计算基础.
- 尽管有个人的差异,人类有效地分享信仰和合作.
研究的目的:
- 调查私人和社会共享的不确定性之间的联系的神经计算基础.
- 了解社会信息如何影响不确定性下的决策.
主要方法:
- 使用了一个发现加上预先注册的复制设计.
- 对感知决策的信心-速度-准确性权衡在社会和孤立的背景下进行了检查.
- 瞳孔测量和脑电图 (EEG) 用于推断主观不确定性和测量神经活动.
主要成果:
- 共享和主观的不确定性动态跟踪社会信息.
- 一个具有社会输入的吸引神经网络模型,成功模拟了观察到的行为和社会对齐.
- 脑电图数据表明,信任交换调节了中皮层中证据积累的神经特征.
结论:
- 社会信息显著影响个人如何感知和报告不确定性.
- 该研究提供了一个神经人口模型,用于共享信念的人际对齐.
- 调查结果阐明了通过决策中的共同不确定性来阐明合作机制.
关键词:
计算生物学是计算生物学.决策是做出决策的过程.人类 人类 人类 人类 人类 人类 人类人际对齐,人际对齐.神经吸引器网络的神经吸引器网络神经科学 神经科学系统生物学 系统生物学不确定性是一种不确定性.更多相关视频
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