通过顺序抽样进行价值构建,解释了决策中的序列依赖性
Ariel Zylberberg1, Akram Bakkour1,2,3, Daphna Shohamy1,4,5
1Mortimer B Zuckerman Mind Brain Behavior Institute, Columbia University, New York, United States.
eLife
|December 10, 2024
概括
主观价值在决策过程中波动,影响选择和大脑活动. 这项研究引入了一个新的算法Reval来跟踪这些动态值变化,提供比静态值更好的解释.
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:
- 熟悉项目之间的决定通常依赖于比较主观价值.
- 类似的值延长了决策时间,并可能导致不一致的选择,通常归因于杂的证据积累.
研究的目的:
- 调查是否明显的选择随机性源于动态价值波动而不是仅仅是噪声.
- 开发和验证一种追踪主观价值实时变化的方法.
主要方法:
- 来自零食项目选择任务的选择数据的分析.
- 开发Reval算法以检测会话内价值波动.
- 使用动态值建模选择行为和神经活动 (BOLD信号).
主要成果:
- 雷瓦尔算法发现了主观项目价值的显著动态波动.
- 这些动态值更准确地预测了参与者的选择和响应时间,而不是静态的,声明的值.
- 动态值更好地解释了大脑活动在中腹前额叶皮层中的情况.
结论:
- 主观价值不是静态的,而是在审议过程中动态构建的.
- 这些价值重估影响后续决策,解释了选择的变化.
- 这些发现支持一个带有时间相关的证据样本的受界证据积累模型.
关键词:
选择引起的偏好变化是选择引起的偏好变化.决策是做出决策的过程.漂移-扩散模型的漂移-扩散模型食物选择任务的任务.人类 人类 人类 人类 人类 人类 人类神经科学 神经科学基于价值的决策是基于价值的决策.vmPFCFC 在线观看更多相关视频
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