相关实验视频
Updated: May 15, 2025

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Measuring Delay Discounting in Humans Using an Adjusting Amount Task
Published on: January 9, 2016
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将即时决策报告的连续流模型扩展到延迟决策报告
Johan A Achard1, Thibault Gajdos Preuss2, Mathieu Servant1
1Laboratoire de Recherches Integratives en Neurosciences et Psychologie Cognitive, Institut National de la Sante et de la Recherche Medicale, Universite Marie et Louis Pasteur.
Journal of experimental psychology. General
|April 10, 2025
概括
新的模型整合了决策和运动控制,用于延迟选择任务. 持续的神经活动弥合了选择承诺和行动执行之间的差距,解释了行为和肌肉激活模式.
科学领域:
- 认知神经科学 认知神经科学
- 决策科学 决策科学 决策科学
- 发动机控制器的控制器
背景情况:
- 连续流和证据积累模型解释了选择反应时间任务.
- 肌肉激活通过连续传输与决策变量相关.
- 将这些模型扩展到延迟反应仍然是一个挑战.
研究的目的:
- 扩大决策模型以考虑延迟响应任务.
- 将工作记忆和运动控制集成到决策模型中.
- 解释如何在响应延迟期间保持选择.
主要方法:
- 为延迟决策报告制定了一个理论框架.
- 嵌入式持续活动用于短期选择维护.
- 使用三个响应信号 (RS) 决策任务测试了预测.
- 测量行为和肌肉激活 (电肌图) 数据.
主要成果:
- 提出的模型成功地统一了跨任务的经验效应.
- 证明了持续活动在选择和行动之间架起桥梁的作用.
- 在延迟反应场景中解释了行为和肌肉激活模式.
结论:
- 扩展模型为即时和延迟决策报告提供了统一的帐户.
- 持续的神经活动对于在反应延迟期间保持选择至关重要.
- 这一框架促进了对决策和运动控制集成的理解.
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