在n-back任务中大小空间表示:大小的长期表示会改变工作记忆性能
Ilgım Hepdarcan1, Hakan Çetinkaya2, Seda Dural3
1Department of Psychology, Izmir University of Economics, Izmir, Turkey. ilgim.hepdarcan@gmail.com.
Memory & cognition
|December 20, 2024
概括
这项研究表明,一致和不一致的大小空间关联比负一致的更能提高工作记忆 (WM) 性能. 长期记忆的表示影响了WM任务执行.
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.
- 人类的记忆 人类的记忆
背景情况:
- 工作记忆 (WM) 研究往往侧重于数值和空间任务.
- 有限的研究探讨了长期记忆 (LTM) 大小空间关联如何影响WM性能.
研究的目的:
- 调查对等,不对等和负等等大小空间关联对WM任务性能的影响.
- 检查心智数列 (MNL) 兼容性在LTM对WM的影响.
- 在低 (1背) 和高 (2背) WM负载条件下区分效应.
主要方法:
- 使用了基于大小的1-back和2-back任务.
- 操纵了数值和非数值的大小空间关联 (一致,不一致,负一致).
- 评估响应的准确性和速度.
主要成果:
- 相对和不相对的表示导致了比负相对的表示更准确和更快的响应.
- 调查结果表明,一致和不一致的协会都有助于执行任务.
- 观察到小数值的大小效应和大物理大小的反向大小效应.
结论:
- LTM表示,特别是MNL兼容性,显著影响WM任务性能.
- 合并和不合并的关联促进了WM,而负的合并则阻碍了它.
- 在大小空间关系处理中,LTM和WM的协同激活显而易见.
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