隐式序列学习和显式序列知识如何表达在串行响应时间任务中
Marius Barth1, Christoph Stahl1, Hilde Haider1
1Department of Psychology, University of Cologne, Germany.
Journal of cognition
|April 23, 2025
概括
隐式序列学习有助于响应的选择和执行,而显式知识可以在决定性任务中基于计划的行动控制. 这项研究提供了对序列学习背后的认知过程的见解.
科学领域:
- 认知心理学 认知心理学
- 神经科学是一个神经科学.
背景情况:
- 序列学习研究往往侧重于隐式与显式学习系统.
- 了解这些学习类型背后的认知过程至关重要.
研究的目的:
- 研究由隐式和显式序列学习影响的特定认知操作.
- 区分刺激处理,响应选择和响应执行的贡献.
主要方法:
- 利用漂移-扩散模型来分析来自串行响应时间任务 (SRTT) 的性能数据.
- 独立地操纵显式序列知识,将其表达式与基础知识分开.
主要成果:
- 隐式序列学习主要有利于响应选择和执行,而不是刺激处理.
- 明确的序列知识将动作控制从基于刺激的转移到基于计划的决定性任务.
结论:
- 隐式和显式序列学习影响着不同的认知过程.
- 漂移-扩散模型是在序列学习研究中剖析认知操作的宝贵工具.
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