Drew Trafton, Williams Lauren H, Jones Christopher Michael, Luria Roy
Psychology Department, University of Utah, Salt Lake City, UT, United States.
Sagol School of Neuroscience and the School of Psychological Science, Tel Aviv University, Tel Aviv, Israel.
Front Hum Neurosci. 2018 Nov 15;12:460. doi: 10.3389/fnhum.2018.00460. eCollection 2018.
Recent evidence has suggested that visual working memory (VWM) plays an important role in representing the target prior to initiating a visual search. The more familiar we are with the search target, the more refined the representation of the target (or "target template") becomes. This sharpening of the target template is thought to underlie the reduced response time (RT) and increased accuracy associated with repeatedly searching for the same target. Perhaps target representations transition from limited-capacity VWM to Long-Term Memory (LTM) as targets repeat. In prior work, amplitude of an event-related potential (ERP) component associated with VWM representation decreased with target repetition, broadly supporting this notion. However, previous research has focused on artificial stimuli (Landolt Cs) that are far removed from search targets in the real world. The current study extends this work by directly comparing target representations for artificial stimuli and common object images. We found VWM representation follows the same pattern for real and artificial stimuli. However, the initial selection of the real world objects follows a much different pattern than more typical artificial stimuli. Further, the morphology of nonlateralized waveforms was substantially different for the two stimulus categories. This suggests that the two types of stimuli were processed in fundamentally different ways. We conclude that object type strongly influences how we deploy attentional and mnemonic resources prior to search. Early attentional selection of familiar objects may facilitate additional LTM processes that lead to behavioral benefits not seen with more simplistic stimuli.
最近的证据表明,视觉工作记忆(VWM)在启动视觉搜索之前表征目标方面发挥着重要作用。我们对搜索目标越熟悉,目标表征(或“目标模板”)就越精细。目标模板的这种锐化被认为是与反复搜索同一目标相关的反应时间(RT)缩短和准确性提高的基础。随着目标重复,目标表征可能会从容量有限的VWM转变为长期记忆(LTM)。在先前的研究中,与VWM表征相关的事件相关电位(ERP)成分的幅度随着目标重复而降低,这广泛支持了这一观点。然而,先前的研究主要集中在与现实世界中的搜索目标相差甚远的人工刺激(兰多尔特C形)上。当前的研究通过直接比较人工刺激和常见物体图像的目标表征来扩展这项工作。我们发现,VWM表征对于真实刺激和人工刺激遵循相同的模式。然而,现实世界物体的初始选择遵循的模式与更典型的人工刺激有很大不同。此外,两种刺激类别的非偏侧化波形形态也有很大差异。这表明这两种类型的刺激是以根本不同的方式进行处理的。我们得出结论,物体类型强烈影响我们在搜索之前如何分配注意力和记忆资源。对熟悉物体的早期注意力选择可能会促进额外的LTM过程,从而带来使用更简单刺激时看不到的行为益处。