Shan Jiangang, Postle Bradley R
Department of Psychology, University of Wisconsin-Madison, Madison, Wisconsin 53706.
Department of Psychology, University of Wisconsin-Madison, Madison, Wisconsin 53706
J Neurosci. 2025 Jul 9;45(28):e2414242025. doi: 10.1523/JNEUROSCI.2414-24.2025.
The removal of no-longer-relevant information from visual working memory (WM) is important for the functioning of WM, given its severe capacity limitation. Previously, with an "ABC-retrocuing" WM task, we have shown that removing information can be accomplished in different ways: by simply withdrawing attention from the newly irrelevant memory item (IMI; i.e., via "passive removal") or by "actively" removing the IMI from WM (Shan and Postle, 2022). Here, to investigate the neural mechanisms behind active removal, we recorded electroencephalogram (EEG) signals from human subjects (both sexes) performing the ABC-retrocuing task. Specifically, we tested the hijacked adaptation model, which posits that active removal is accomplished by a top-down-triggered down-modulation of the gain of perceptual circuits, such that sensory channels tuned to the to-be-removed information become less sensitive. Behaviorally, analyses revealed that, relative to passive removal, active removal produced a decline in the familiarity landscape centered on the IMI. Neurally, we focused on two epochs of the task, corresponding to the triggering, and to the consequence, of active removal. With regard to triggering, we observed a stronger anterior-to-posterior traveling wave for active versus passive removal. With regard to the consequence(s) of removal, the response to a task-irrelevant "ping" was reduced for active removal, as assessed with ERP, suggesting that active removal led to decreased excitability in perceptual circuits centered on the IMI.
鉴于视觉工作记忆(WM)存在严重的容量限制,从视觉工作记忆中去除不再相关的信息对其功能发挥至关重要。此前,我们通过一项“ABC拯救”工作记忆任务表明,信息的去除可以通过不同方式实现:要么简单地将注意力从新的不相关记忆项(IMI)上撤离(即通过“被动去除”),要么通过从工作记忆中“主动”去除IMI(单和波斯托,2022)。在此,为了探究主动去除背后的神经机制,我们记录了执行“ABC拯救”任务的人类受试者(男女皆有)的脑电图(EEG)信号。具体而言,我们测试了被劫持的适应模型,该模型假定主动去除是通过自上而下触发的对感知回路增益的下调来实现的,从而使调谐到待去除信息的感觉通道变得不那么敏感。行为分析表明,相对于被动去除,主动去除使以IMI为中心的熟悉度格局下降。在神经层面,我们关注任务的两个阶段,分别对应主动去除的触发阶段和结果阶段。关于触发阶段,我们观察到主动去除比被动去除有更强的从前向后传播的波。关于去除的结果,用事件相关电位(ERP)评估发现,主动去除时对与任务无关的“ping”的反应减弱,这表明主动去除导致以IMI为中心的感知回路兴奋性降低。