Mutual interference in working memory updating: A hierarchical Bayesian model

Chen, Yiyang; Peruggia, Mario; Zandt, Trisha Van

doi:10.1016/j.jmp.2022.102706

Cited by 1 publication

(1 citation statement)

References 60 publications

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“…Furthermore, it would be of great value to investigate how training-related changes relate to transfer effects on untrained tasks of similar or different cognitive domains. Few and only recent studies have applied drift-diffusion analyses to analyze transfer effects in working memory tasks (e.g., Chen et al, 2022;Schmiedek et al, 2022). Findings from these studies suggested that pre-to post-training effects in processing speed tasks (Schmiedek et al, 2022) are similar to those observed in our study during training.…”

Section: Limitations and Outlooksupporting

confidence: 80%

Mechanisms of Training-Related Change in Processing Speed: A Drift-Diffusion Model Approach

Reinhartz,

Strobach,

Jacobsen

et al. 2023

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Processing speed is a crucial ability that changes over the course of the lifespan. Training interventions on processing speed have shown promising effects and have been associated with improved cognitive functioning. While training-related changes in processing speed are often studied using reaction times (RTs) and error rates, these measures provide limited insight into the mechanisms underlying changes during training. The drift-diffusion model provides estimates of the cognitive processes underlying speeded decision tasks, such as the rate of evidence accumulation (drift rate), response strategies (boundary separation), as well as time for other processes such as stimulus encoding and motor response (non-decision time). In the current study, we analyzed existing data of an extensive multi-session training intervention (von Bastian & Oberauer, 2013) to disentangle changes in drift rate, boundary separation, and non-decision time during training of different speeded choice-RT tasks. During this training intervention, 30 participants performed 20 training sessions over the course of four weeks, completing three tasks each session: a face-matching, a pattern-matching, and a digit-matching task. Our results show that processing speed training increased drift rates throughout training. Boundary separation and non-decision time decreased mostly during the initial parts of training. This pattern of prolonged training-related changes in rate of evidence accumulation as well as early changes in response strategy and non-decision processes was observed across all three tasks. Future research should investigate how these training-related changes relate to improvements in cognitive functioning more broadly.

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Section: Limitations and Outlooksupporting

confidence: 80%