蓄意学习建立了多个注意力集,同时指导注意力
Sisi Wang1, Geoffrey F Woodman1
1Department of Psychology, Vanderbilt University.
Journal of experimental psychology. General
|August 1, 2024
概括
人类可以通过统计学学习来学习多个注意力集,引导注意力预测目标特征. 这项研究表明,学习的注意力集可以同时增强感知注意力和感知后过程.
科学领域:
- 认知神经科学 认知神经科学
- 人类的注意力人类的注意力
- 统计学学习 统计学学习
背景情况:
- 人类的认知依赖于提取环境规律来指导行为.
- 通过统计学学习形成的注意力集,有助于准特定特征.
- 在故意学习过程中建立和注意力指导多个注意力集仍然在很大程度上是未知的.
研究的目的:
- 调查是否可以在故意学习期间建立多个预测目标特征的多重注意力集.
- 确定这些注意力集在视觉搜索任务中如何引导注意力.
- 检查通过学习的统计规律来引导注意力的基础的神经机制.
主要方法:
- 人类观察者执行了一个视觉搜索任务,使用概率色彩-目标形状关联.
- 任务涉及五种独特的颜色概率 (33%到5%),以建立统计规律.
- 电脑电图 (EEG) 被记录下来,以分析任务期间的神经活动.
主要成果:
- 观察者学会了颜色规律,对更高概率的颜色表现出更快的反应.
- 性能改进并不是由于样本大小或简单的特征启动.
- 脑电图数据显示,对高概率颜色的N2后侧反侧和晚期正复合 (LPC) 组件有增强,这表明对感知和后感知过程的影响.
结论:
- 在有意学习期间,可以建立多个注意力集,并与一般任务获取相结合.
- 这些学习的注意力集同时通过增强感知注意力和感知后处理来引导注意力.
- 研究结果表明,基于学习的统计规律性,注意力控制的复杂机制存在.
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