自信偏差规定了决策的神经计算机制
Fanru Sun1, Yinmei Ni2, Weiwen Lu3
1State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China; School of Systems Science, Beijing Normal University, Beijing, China.
Cell reports
|April 22, 2025
概括
这项研究揭示了决策中的信心偏差,信心有利于选择的选择. 这种与脊前带状皮层神经活动相关的偏差,最好通过具有相互抑制和紧迫信号的模型来解释.
科学领域:
- 认知神经科学是一种认知神经科学.
- 计算精神病学是一种计算精神病学.
- 决策神经科学 神经科学
背景情况:
- 现有的决策模型解释了选择和信心,但缺乏明确的经验区分.
- 观察到一种特定的信任偏差,信任与选定的证据保持一致,但目前的模型无法完全解释.
研究的目的:
- 为了调查决策一致的信任偏差.
- 识别在感知和基于价值的决策中这种偏差背后的神经计算机制.
主要方法:
- 在决策任务中对信任偏差的实证调查.
- 对各种神经计算模型的分析,包括那些具有相互抑制和紧急信号的模型.
主要成果:
- 自信偏差有利于选择的证据,而选择准确性取决于所有证据的强度.
- 脊前环状皮层 (dACC) 中的神经活动反映了这种信心偏差.
- 只有结合相互抑制和紧急信号的决策模型才能在参数之间复制观察到的偏差.
结论:
- 相互抑制和紧急信号是决策过程的关键组成部分.
- 观察到的信任偏差可能是这些基本决策特征的结果.
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