在基于模型的层次行为过程中,人类大脑中的子目标的表示和估值
Cooper D Grossman1, Vincent Man1, John P O'Doherty1
1Division of Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, USA.
Neuron
|February 14, 2026
概括
这项研究揭示了大脑如何使用功能磁共振成像 (fMRI) 来表示顺序行为的子目标. 它确定了决策值的神经相关性,整合了层次和基于模型的规划.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 计算神经科学是一种神经科学.
背景情况:
- 将行为分为细分的层次组织对于复杂的目标导向行动至关重要.
- 副目标标志着行为细分的完成,指导连续的行动.
- 了解子目标表示和决策值计算的神经基础是认知神经科学中的一个重大差距.
研究的目的:
- 为了研究大脑如何在连续决策过程中表示子目标.
- 确定决策值是如何计算的,作为子目标和环境知识的函数.
- 探索层次和基于模型的流程在决策中的整合.
主要方法:
- 使用了一种新的顺序-次目标决策任务.
- 使用功能磁共振成像 (fMRI) 来捕捉大脑活动.
- 开发了一个基于模型的,分层的强化学习模型来分析神经数据.
主要成果:
- 成功解码了当前在insula和ventromedial前额叶皮层中的子目标表示.
- 识别了前额叶皮层内的关键决策价值信号.
- 在任务期间,参与者表现出层次,基于模型的行为.
结论:
- 在insula和ventromedial前额叶皮层中的神经活动支了顺序行为的次目标表示.
- 额叶皮层活动反映了使用环境知识和层次结构计算的决策值.
- 这项研究阐明了将层次控制和基于模型的规划整合到决策中的神经机制.
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