早期与晚期的噪音差异性地增强或降低了取决于背景的选择
Bo Shen1, Duc Nguyen2, Jailyn Wilson3
1New York University, Grossman School of Medicine, New York, NY, 10016, USA. bo.shen@nyu.edu.
Nature communications
|April 23, 2025
概括
神经系统中的噪音会影响决策. 早期噪音提高了对上下文的准确性,而后期噪音则阻碍了它,解释了选择行为中的各种实验结果.
科学领域:
- 神经科学是一个神经科学.
- 计算神经科学是一种神经科学.
- 决策科学 决策科学 决策科学
背景情况:
- 噪音是神经信息处理的一个基本挑战.
- 选择中的随机错误归因于决策中的噪音.
- 噪音源对值编码和选择的影响差异仍然不清楚.
研究的目的:
- 调查决策不同阶段的噪音如何不同地影响上下文依赖的选择行为.
- 调和文献中关于选择中的上下文影响的相互矛盾的发现.
主要方法:
- 模拟模型以预测早期与晚期噪声对选择准确性的影响.
- 在人类参与者中对早期噪音 (选项值不确定性) 和晚期噪音 (时间压力) 的实验操纵.
- 在不同噪音条件和情境影响下分析选择行为.
主要成果:
- 模型模拟预测,早期噪音提高了选择准确性与上下文,而后期噪音降低了它.
- 人类实验数据证实了这些相反的预测,显示了可分离的积极和消极的背景效应.
- 早期和晚期的噪音来源被实验性地操纵,以产生不同的行为结果.
结论:
- 决策过程中噪音的时机关键地调整了环境对选择的影响.
- 建议采用一个统一的机制来进行上下文依赖的选择,同时考虑不同的噪声源.
- 了解噪音源对于理解神经计算如何与行为相互作用至关重要.
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