语言之外的递归:在视觉层次嵌入中,词汇和算术干扰视觉层次嵌入
Mauricio J D Martins1, Daniel J Cook2,3, Arno Villringer3,4,5
1SCAN-Unit, Department of Cognition, Emotion, and Methods in Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria. mauricio.martins@univie.ac.at.
Psychological research
|March 10, 2026
概括
人类的认知人类的认知.
科学领域:
- 认知科学 认知科学
- 神经科学是一个神经科学.
- 心理学 心理学 心理学
背景情况:
- 递归层次嵌入 (RHE) 是人类认知的一个关键方面.
- 非语言递归的神经基础是有争议的,理论表明语言特异性,域一般性或视觉空间机制.
研究的目的:
- 调查视觉回归和代背后的认知机制.
- 要确定非语言递归是否依赖于类似于语言的序列符号处理.
主要方法:
- 具有视觉递归 (REC) 和代 (ITE) 任务的双任务范式.
- 干扰任务包括词汇检索 (LEX),序列算术 (MATH) 和视觉延迟匹配到样本 (VIS).
- 漂移扩散建模分析了响应时间和准确性.
主要成果:
- 词汇检索和序列算术损害了递归和代任务.
- 对代而言,干扰比递归更强.
- 词汇检索和序列算法减缓了证据的积累,并降低了决策值.
- 视觉任务不会影响准确性,但会调节证据的积累.
- 语言工作记忆预测了复制性能,但没有完全解释干扰差异.
结论:
- 视觉层次处理,特别是代,依赖于串行符号资源.
- 递归对干扰更有弹性,这表明并行或配置处理策略.
- 混合认知架构支持视觉层次结构,将语言类符号操作与替代机制集成在一起.
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