Penn State University, University Park, MD.
US Army Combat Capabilities Development Command (DEVCOM) Army Research Laboratory, Aberdeen Proving Ground.
J Cogn Neurosci. 2022 Oct 1;34(11):2100-2112. doi: 10.1162/jocn_a_01901.
It has been debated whether salient distractors in visual search can be proactively suppressed to completely prevent attentional capture, as the occurrence of proactive suppression implies that the initial shift of attention is not entirely driven by physical salience. While the presence of a Pd component in the EEG (associated with suppression) without a preceding N2pc component (associated with selection) has been used as evidence for proactive suppression, the link between these ERPs and the underlying mechanisms is not always clear. This is exemplified in two recent articles that observed the same waveform pattern, where an early Pd-like component flipped to a N2pc-like component, but provided vastly different interpretations (Drisdelle, B. L., & Eimer, E. PD components and distractor inhibition in visual search: New evidence for the signal suppression hypothesis. Psychophysiology, 58, e13898, 2021; Kerzel, D., & Burra, N. Capture by context elements, not attentional suppression of distractors, explains the PD with small search displays. Journal of Cognitive Neuroscience, 32, 1170-1183, 2020). Using RAGNAROC (Wyble et al., Understanding visual attention with RAGNAROC: A Reflexive Attention Gradient through Neural AttRactOr Competition. Psychological Review, 127, 1163-1198, 2020), a computational model of reflexive attention, we successfully simulated this ERP pattern with minimal changes to its existing architecture, providing a parsimonious and mechanistic explanation for this flip in the EEG that is unique from both of the previous interpretations. Our account supports the occurrence of proactive suppression and demonstrates the benefits of incorporating computational modeling into theory building.
关于在视觉搜索中显著的分心物是否可以被主动抑制以完全防止注意力捕获,一直存在争议,因为主动抑制的发生意味着最初的注意力转移并非完全由物理显著性驱动。虽然 EEG 中存在与抑制相关的 Pd 成分(与抑制相关)而没有先前的 N2pc 成分(与选择相关),这被用作主动抑制的证据,但这些 ERP 与潜在机制之间的联系并不总是清楚的。这在最近的两篇文章中得到了例证,这两篇文章观察到了相同的波形模式,其中早期的 Pd 样成分转变为 N2pc 样成分,但提供了截然不同的解释(Drisdelle,B.L.和 Eimer,E. PD 成分和视觉搜索中的分心物抑制:信号抑制假说的新证据。心理生理学,58,e13898,2021;Kerzel,D.和 Burra,N. 是上下文元素而不是分心物的注意抑制捕获了小搜索显示中的 PD。认知神经科学杂志,32,1170-1183,2020)。使用 RAGNAROC(Wyble 等人,用 RAGNAROC 理解视觉注意力:通过神经吸引力竞争的反射注意力梯度。心理评论,127,1163-1198,2020),我们成功地模拟了这种 ERP 模式,对其现有架构进行了最小的更改,为 EEG 中的这种翻转提供了一个简洁的机制解释,这与之前的两种解释都不同。我们的解释支持了主动抑制的发生,并证明了将计算建模纳入理论构建的好处。