洞察不同决策策略,这些策略是基于认知努力的决策的基础,这些决策使用的是大鼠的计算建模
Claire A Hales1, Mason M Silveira2,3, Lucas Calderhead4
1Department of Psychology, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, 2215 Wesbrook Mall, Vancouver, BC, V6T 1Z3, Canada. chales@psych.ubc.ca.
Psychopharmacology
|January 3, 2024
概括
认知努力 (老鼠认知努力任务) 的个体差异是由不同的决策过程解释的. 这种建模方法提升了对药物如何影响注意力和选择的理解,这与精神疾病有关.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 行为经济学是一种行为经济学.
背景情况:
- 鼠标认知努力任务 (rCET) 模拟了认知努力,显示了选择行为中稳定的个体差异.
- 以前将老鼠分为"工人"和"惰者"的分类缺乏强有力的数据驱动的理由.
- 了解这些个体变异对于解释对挑战的行为反应至关重要.
研究的目的:
- 为了确定底层的决策过程驱动个人在老鼠的认知努力任务的变化.
- 完善行为表型的分类,超越简单的"工人"和"惰者"群体.
- 在更细致的,基于模型的框架内重新评估药理效应.
主要方法:
- 从执行rCET的多个老鼠队伍收集的数据.
- 采用基于模型的框架,整合漂移扩散建模和集群分析.
- 应用了这个框架来重新分析现有的药理数据.
主要成果:
- 在"工人"和"怠工"中确定了不同的集团内部配置文件,与注意力和决策阶段相关联.
- 证明血清能药物效应会改变决策边界和非决策时间.
- 斯科波胺所显示的效应是由决策起点和证据积累率的变化所驱动的.
结论:
- 与认知努力成本相关的决策过程在个人之间有很大差异.
- 神经递质系统对努力的注意力和决策产生不同的影响,为精神疾病相关的机制提供了洞察力.
- 基于模型的方法可以更精确地理解行为变化和药物对认知任务的影响.
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