经济选择神经编码中的理性不注意.
Justin M Fine1, Rubén Moreno-Bote2,3,4, Benjamin Y Hayden1
1Department of Neurosurgery, Baylor College of Medicine Houston, Texas, United States of America.
bioRxiv : the preprint server for biology
|October 10, 2024
概括
理性疏忽理论解释了我们如何管理经济决策的注意力. 较高的奖励率通过提高注意力努力来提高选择准确性,正如的瞳孔大小和神经活动所表明的那样.
科学领域:
- 神经科学是一个神经科学.
- 行为经济学是一种行为经济学.
- 认知科学 认知科学
背景情况:
- 经济决策涉及计算上昂贵的心理操作.
- 理性注意力不集中理论模拟了决策中的注意力经济学.
- 注意力努力对于选择准确性和奖励至关重要,但需要付出代价.
研究的目的:
- 研究在经济决策中的注意力努力背后的神经机制.
- 为了扩展理性无视的框架与食理论的环境丰富的概念.
- 预测和测试环境丰富性是否影响注意力.
主要方法:
- 检查了六只做出危险选择的选择和神经活动.
- 将本地奖励率 (环境丰富性) 纳入理性不注意模型.
- 测量了瞳孔大小作为注意力努力的指标,并分析了神经群体代码.
主要成果:
- 当地奖励率与选择准确性正相关.
- 更丰富的背景 (更高的奖励率) 导致瞳孔大小增加,表明注意力更大.
- 在更高的奖励率下,腹腔条纹体和轨道前皮层显示出增强的价值解码能力和改变的人口几何形状.
- 在奖励率较高的环境中观察到加快的价值代码动态.
结论:
- 这些发现支持将理性不注意理论扩展到静态环境中.
- 注意力努力是由环境奖励率调节的,影响价值计算中的神经过程.
- 一个神经机制,涉及收益控制和独特的人口代码的价值是注意力努力的基础.
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