, 2011), implement the above drift rate scheme. However, their fit quality in Eriksen and Simon tasks was numerically inferior compared to standard model versions. Therefore, the SSP and the DSTP appear incomplete. Because the DSTP captures qualitative and quantitative aspects of the Eriksen data that the SSP cannot, its architecture

may represent a better foundation for a unified framework. This conclusion should be tempered by two caveats. First, as mentioned in the previous section, relaxing some parameter constraints may lead to different model performances. Second, analysis of the CAFs in the Simon task reveals an important failure of the DSTP to account for accuracy dynamics across conditions, and the model appears to generate qualitatively wrong predictions. The SSP provides a superior fit. These observations deserve further investigations. On the one hand, the p38 protein kinase need for at least one additional parameter seems to weaken the DSTP framework. The model components would sum to eight, which further increases the risk of parameter tradeoffs. On the other hand, this cost may be necessary to capture the types selleck screening library of nuance that are hallmarks of decision-making in conflicting situations. Currently, the

DSTP is a formal implementation of qualitative dual-route models (e.g., Kornblum et al., 1990) in the context of selective attention (Hübner et al., 2010). To explain the particular distributional data of the Simon task, Ridderinkhof (2002) refined dual-route models by hypothesizing a response-based inhibitory mechanism that takes time to build. Alternatively, Hommel (1993) proposed that irrelevant location-based activations spontaneously decay over time. Testing these hypotheses are beyond the scope of the present paper, but they should be considered in future extensions of the model. Importantly, any proposed theory should

provide a principled account of the parametric variations observed between the different conflict tasks. The present work introduced a novel strategy to provide additional insight into decision-making in conflicting situations. The concurrent investigation of Piéron and Wagenmakers–Brown’s laws in Eriksen and Simon tasks highlighted several important constraints for RT models and strongly almost suggested a common model framework for the two tasks. Recent extensions of the DDM that incorporate selective attention mechanisms represent a promising approach toward the achievement of this goal. Detailed analyses revealed that a discrete improvement of attentional selectivity, as implemented through the DSTP, better explains processing in the Eriksen task compared to a continuous-improvement SSP. However, the DSTP fails to capture a statistical peculiarity of the Simon data and requires further development. Our results set the groundwork for an integrative diffusion model of decision-making in conflicting environments.