了解使用主动推理自愿参与精神努力的机制
Riccardo Maramotti1,2,3, Thomas Parr4, Manuela Tondelli5,6
1Department of Biomedical, Metabolic, and Neural Sciences, University of Modena and Reggio Emilia, via Campi 287, Modena, 41125, Italy. riccardo.maramotti@unimore.it.
Cognitive, affective & behavioral neuroscience
|March 17, 2026
概括
认知努力涉及压倒自动反应. 这项研究发现,增加的心理努力,特别是在Stroop任务中,是由更强的准确性动机驱动的,而不仅仅是抑制习惯性行为.
科学领域:
- 认知心理学 认知心理学
- 计算神经科学是一种神经科学.
- 神经科学是一个神经科学.
背景情况:
- 自愿的精神努力对认知控制至关重要,但其机制尚未得到充分理解.
- 斯特鲁普任务是评估认知控制和选择性注意力的标准方法.
研究的目的:
- 调查心理努力的自愿投资背后的机制.
- 用积极推断和Stroop任务来建模认知努力.
主要方法:
- 基于主动推理的计算模型被用于分析Stroop任务性能.
- 20名健康的成年人在最大努力和放松的努力条件下执行了Stroop任务.
- 该模型估计了个人的习惯偏见和对准确性的动机.
主要成果:
- 最大的努力与更高的正确表现动机有关.
- 习惯性倾向于阅读单词而不是命名颜色并没有显示出随着努力增加而产生一致的群体效应.
- 认知努力似乎主要是由对准确性的动机驱动的.
结论:
- 认知努力的自愿投资主要由对准确性的动机增加来调节.
- 这种计算方法可以提供关于努力分配受损的障碍的见解.
- 研究结果表明,努力不仅仅是为了抑制习惯性反应.
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