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关注的不同方面预测了视觉工作记忆编码的深度:来自瞳孔测量的证据

Damian Koevoet^1,2, Marnix Naber^1,3, Christoph Strauch^1,4

¹Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, The Netherlands.

Journal of vision

|June 15, 2023

概括

瞳孔大小动态,包括基线大小和定向响应,预测有多少信息被编码到视觉工作记忆中. 这些学生指标反映了注意力.

科学领域:

认知神经科学认知神经科学
心理学心理学心理学
眼科医生眼科眼科

背景情况:

视觉工作记忆编码深度传统上与目光属性 (位置,停留时间) 相关.
凝视属性在编码过程中不能完全捕捉兴奋或注意力部署.
了解影响记忆编码的因素对于认知科学至关重要.

研究的目的:

研究瞳孔动态和视觉工作记忆中的信息编码之间的关系.
确定瞳孔大小是否预测了编码信息的数量和精度.
通过瞳孔测量来探索注意力和唤起在记忆编码中的作用.

主要方法:

参与者执行了一项视觉复制任务,涉及编码空间模式.
在编码过程中测量了瞳孔动态 (基线瞳孔大小,定向反应).
在视觉工作记忆中编码的信息是根据任务执行来评估的.

主要成果:

在编码之前,较小的基线学生尺寸预测了更大的信息编码.
在编码过程中更强的学生定向反应也预测了更多的信息被编码.
瞳孔大小的变化与编码材料的数量和精度相关.

结论:

瞳孔动态是视觉工作记忆编码深度的可靠指标.
较小的先前瞳孔尺寸表明注意力利用增加,而收缩表明注意力重定位.
记忆编码深度是警觉,注意力部署和持续时间的综合结果.

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