TY - JOUR
T1 - What the Flip? What the P-N Flip Can Tell Us about Proactive Suppression
AU - Tam, Joyce
AU - Callahan-Flintoft, Chloe
AU - Wyble, Brad
N1 - Publisher Copyright:
© 2022 Massachusetts Institute of Technology.
PY - 2022/11
Y1 - 2022/11
N2 - 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 exem-plified 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 success-fully 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 pre-vious interpretations. Our account supports the occurrence of proactive suppression and demonstrates the benefits of incorpo-rating computational modeling into theory building.
AB - 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 exem-plified 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 success-fully 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 pre-vious interpretations. Our account supports the occurrence of proactive suppression and demonstrates the benefits of incorpo-rating computational modeling into theory building.
UR - https://www.scopus.com/pages/publications/85139501696
UR - https://www.scopus.com/inward/citedby.url?scp=85139501696&partnerID=8YFLogxK
U2 - 10.1162/jocn_a_01901
DO - 10.1162/jocn_a_01901
M3 - Article
C2 - 35939619
AN - SCOPUS:85139501696
SN - 0898-929X
VL - 34
SP - 2100
EP - 2112
JO - Journal of cognitive neuroscience
JF - Journal of cognitive neuroscience
IS - 11
ER -