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一个用于保存值计算的神经机制,集成信息和奖励
Ethan S Bromberg-Martin1, Yang-Yang Feng1,2, Takaya Ogasawara1
1Department of Neuroscience, Washington University School of Medicine, St. Louis, MO, USA.
Nature neuroscience
|January 4, 2024
概括
人类和动物都很重视信息,即使没有客观的奖励. 侧面大脑 (LHb) 将信息价值与外部奖励结合起来,揭示了寻求未来知识的保存的神经机制.
科学领域:
- 神经科学是一个神经科学.
- 决策科学 决策科学 决策科学
- 行为经济学是一种行为经济学.
背景情况:
- 决策理论通常侧重于具有客观价值的选择.
- 人类和动物经常寻求不确定的未来回报的信息,这表明信息本身具有主观价值.
- 整合信息价值与外部奖励的神经基础在很大程度上是未知的.
研究的目的:
- 调查在多属性决策中的价值判断背后的保存计算原则.
- 确定负责整合信息价值和外部奖励的神经基质.
- 阐明大脑决定寻找关于未来的信息的机制.
主要方法:
- 在信息搜索任务中对人类和子的价值判断进行比较分析.
- 侧面大脑管 (LHb) 和其输入区域的电生理记录.
- 决策过程的计算建模.
主要成果:
- 人类和子的价值判断在交易信息和外部奖励时表现出保守的计算原则.
- 侧面大脑神经元 (LHb) 信号集成的主观价值,结合信息和外部奖励值.
- LHb因果关系地影响寻求信息的决策,预测正在进行的选择.
- 进入LHb的输入区域主要是信号组件,而不是集成值.
结论:
- 侧面大脑 (LHb) 是一个关键的神经基质,用于整合信息价值与外部奖励.
- 在LHb中保存的神经机制是信息搜索主观价值计算的基础.
- 这项研究揭示了大脑如何做出决定,以获得关于未来结果的知识.
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