不确定性处理的明确计算机制解释了焦虑和冷漠的对立探索行为
Xinyuan Yan1, R Becket Ebitz2, Nicola Grissom3
1Department of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, Minnesota.
Biological psychiatry. Cognitive neuroscience and neuroimaging
|January 13, 2025
概括
焦虑通过将不确定性视为波动性来增加探索,而冷漠通过将其视为随机性来减少探索. 这些不同的情绪状态会影响决策机制.
科学领域:
- 认知神经科学 认知神经科学
- 计算精神病学是一种计算精神病学.
背景情况:
- 在不确定性下的决策受情绪状态的影响.
- 不确定性包括波动性 (变化率) 和随机性 (随机性).
研究的目的:
- 调查焦虑和冷漠如何影响不确定性感知.
- 确定感知到的不确定性如何影响探索-利用决策.
主要方法:
- 1001名参与者完成了一项令人不安的三臂强盗任务.
- 隐藏状态和过程模型被用于分析.
主要成果:
- 焦虑与更高的感知波动,不断增加的探索和学习率有关.
- 无动于衷与更高的感知随机性相关,探索和学习率下降.
- 感知波动率与随机性比率调解了焦虑对探索后奖励遗漏的影响.
结论:
- 焦虑和冷漠表现出不同的计算机制,影响决策.
- 这些发现为神经精神疾病中的认知和情感过程提供了一个框架.
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