在极限:工作记忆容量限制了学习复杂的视觉运动映射的学习
bioRxiv : the preprint server for biology
|February 12, 2026
概括
人类的感觉运动适应依赖于认知策略,但工作记忆能力限制了学习复杂任务. 当任务复杂度超过这个极限时,适应性高原,显示对学习认知支持的约束.
科学领域:
- 认知神经科学 认知神经科学
- 发动机控制器的控制器
- 人类学习 人类学习
背景情况:
- 人类的感觉运动适应包括将感觉输入映射到运动输出.
- 显式认知策略,利用工作记忆,与隐式学习一起发挥重要作用.
- 对于复杂的感觉运动任务,这些明确策略的可扩展性尚未得到充分理解.
研究的目的:
- 调查明确认知策略的能力,以支持学习复杂的感觉运动映射.
- 为了确定在传感运动适应中的工作记忆的极限.
- 探索任务复杂性如何影响明确学习策略的有效性.
主要方法:
- 在视觉运动旋转任务中进行参数测试的明确战略能力.
- 参与者必须学习的目标旋转配对的数量有所不同 (4对 8的映射).
- 利用无参数工作记忆模型,根据存储的关联和随机猜测来预测性能.
主要成果:
- 通过4个映射 (在工作记忆容量范围内),参与者通过存储的关联实现了近乎完美的补偿.
- 在8次映射 (超出容量) 时,参与者未能完全补偿,达到~50%的非对称性能.
- 工作内存模型准确地预测了性能限制,表明容量瓶.
结论:
- 对于感觉运动适应的明确认知策略受到工作记忆能力的限制.
- 有一个认知带宽的极限,超出这个极限,适应效率就会高.
- 任务复杂度超过工作记忆容量,从根本上限制了在感官运动学习中更高阶认知的实用性.
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