任务干扰作为认知灵活性成本的神经元基础
Cheng Xue1, Sol K Markman1,2, Ruoyi Chen3
1Department of Neurobiology, University of Chicago, IL, USA.
bioRxiv : the preprint server for biology
|March 18, 2024
概括
认知灵活性允许任务杂,但在不确定性下降了准确性. 这项研究揭示了任务干扰,竞争的神经表现导致错误,影响人类和动物的决策.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 计算机建模 计算建模
背景情况:
- 人类和动物在动态环境中表现出了非凡的任务交换能力.
- 然而,这种认知灵活性与任务不确定性下的性能下降有关.
研究的目的:
- 调查在任务不确定性期间潜在的绩效成本的神经机制.
- 阐明认知灵活性如何影响决策和感知.
主要方法:
- 结合了子电生理学,人类心理物理学和人工神经网络 (ANN) 建模.
- 开发了一种行为范式,用于评估跨两个不同的任务的决策和感知.
- 与那些复制人类/子选择的人相比,被训练以获得最佳性能的ANN进行了比较.
主要成果:
- 人类和子都在任务不确定性下表现出减少的感知决策准确性,与标准ANN不同.
- 任务干扰被确定为机制,其特点是不相关特征的更强的表示和纠的神经元表示.
- 行为,生理和因果实验证实了任务干扰的作用.
结论:
- 任务灵活性成本源于任务干扰,导致不确定性下的错误.
- 不同刺激,任务或记忆的神经表现之间的干扰可能是健康和疾病的认知能力限制的基础.
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