| Literature DB >> 24904479 |
Yulia Levin1, Joseph Tzelgov2.
Abstract
Entities:
Keywords: Stroop effect; cognitive control; conflict adaptation; conflict monitoring; informational conflict; task conflict
Year: 2014 PMID: 24904479 PMCID: PMC4033599 DOI: 10.3389/fpsyg.2014.00463
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Figure 1The proposed architectures within the conflict-monitoring framework. (A) All models share the same core architecture introduced by Cohen et al. (1990) in their explanation of Stroop effect performance. This includes the definition of conflict as response competition, implying an aggregated contribution of task conflict and informational conflict. The assumption that conflict is controlled solely by adjustment of task representation weights implies that only the task conflict can be directly controlled. (B) Botvinick et al.'s (2001, 2004) model added a conflict-monitoring unit thereby generating a control loop for adjusting the task representation weights, while (C) Blais et al. (2007) proposed that task weights can be adjusted differentially for specific items. (D) De Pisapia and Braver's (2006) architecture captures the distinction between reactive and proactive control. (E) Verguts and Notebaert's (2008, 2009) model suggests control is modulated through conflict-based Hebbian learning. Note the models are depicted in a very schematic way, with no reference to the nature and direction of the existed connections, their specific weights, etc. The detailed information can be found in the original articles (see references). R, red; G, green; C, color; W, word; ACC, anterior cingulate cortex; LC, locus coeruleus; MFC, medial frontal cortex; PFC, prefrontal cortex; DLPFC, dorsolateral prefrontal cortex.