What the Flip? What the P-N Flip Can Tell Us about Proactive Suppression

被引:6
|
作者
Tam, Joyce [1 ]
Callahan-Flintoft, Chloe [2 ]
Wyble, Brad [1 ]
机构
[1] Penn State Univ, University Pk, PA 16802 USA
[2] US Army Combat Capabil Dev Command DEVCOM, Army Res Lab, Aberdeen Proving Ground, MD USA
基金
美国国家科学基金会;
关键词
ATTENTIONAL CAPTURE; VISUAL-SEARCH; ELECTROPHYSIOLOGICAL EVIDENCE; SALIENT DISTRACTORS; ACTIVE SUPPRESSION; COLOR; INHIBITION; TARGET; RESOLUTION; SELECTION;
D O I
10.1162/jocn_a_01901
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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. P-D 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 P-D 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.
引用
收藏
页码:2100 / 2112
页数:13
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