scholarly journals Examining the Trainability and Transferability of Working-Memory Gating Policies

Author(s):  
Katrina Sabah ◽  
Nachshon Meiran ◽  
Gesine Dreisbach

AbstractInternal working memory (WM) gating control policies have been suggested to constitute a critical component of task-sets that can be learned and transferred to very similar task contexts (Bhandari and Badre (Cognition, 172, 33–43, 2018). Here, we attempt to expand these findings, examining whether such control policies can be also trained and transferred to other untrained cognitive control tasks, namely to task switching and AX-CPT. To this end, a context-processing WM task was used for training, allowing to manipulate either input (i.e., top-down selective entry of information into WM) or output (i.e., bottom-up selective retrieval of WM) gating control policies by employing either a context-first (CF) or context-last (CL) task structure, respectively. In this task, two contextual cues were each associated with two different stimuli. In CF condition, each trial began with a contextual cue, determining which of the two subsequent stimuli is target relevant. In contrast, in the CL condition the contextual cue appeared last, preceded by a target and non-target stimulus successively. Participants completed a task switching baseline assessment, followed by one practice and six training blocks with the WM context-processing training task. After completing training, task-switching and AX-CPT transfer blocks were administrated, respectively. As hypothesized, compared to CL training condition, CF training led to improved task-switching performance. However, contrary to our predictions, training type did not influence AX-CPT performance. Taken together, the current results provide further evidence that internal control policies are (1) inherent element of task-sets, also in task switching and (2) independent of S-R mappings. However, these results need to be cautiously interpreted due to baseline differences in task-switching performance between the conditions (overall slower RTs in the CF condition). Importantly though, our results open a new venue for the realm of cognitive enhancement, pointing here for the first time to the potential of control policies training in promoting wider transfer effects.

2019 ◽  
Vol 84 (8) ◽  
pp. 2090-2110
Author(s):  
Gizem Arabacı ◽  
Benjamin A. Parris

Abstract Inattention is a symptom of many clinical disorders including attention deficit hyperactivity disorder (ADHD) and is thought to be primarily related to limitations in working memory. In two studies, we investigated the implications of inattention for task switching performance. In study one, we measured task switching performance using predictable and unpredictable conditions in adults who self-rated inattention and other ADHD-related tendencies. Tasks required proactive control and reactive control, respectively, under both high and low working memory loads. Results revealed that inattentive, but not hyperactive/impulsive traits, predicted switch costs when switching was predictable and working memory load was high. None of the ADHD traits were related to unpredictable switch costs. Study two was designed to: (1) de-confound the role of proactive control and the need to keep track of task order in the predictable task switching paradigm; (2) investigate whether goal neglect, an impairment related to working memory, could explain the relationship between inattention and predictable task switching. Results revealed that neither predictability nor the need to keep track of the task order led to the association between switch costs and inattention, but instead it was the tendency for those high in inattention to neglect preparatory proactive control, especially when reactive control options were available.


2010 ◽  
Vol 116 (2-3) ◽  
pp. 274-279 ◽  
Author(s):  
Susan M. Ravizza ◽  
K.C. Keur Moua ◽  
Debra Long ◽  
Cameron S. Carter

2017 ◽  
Author(s):  
Linda Elissa Lingjie Wei ◽  
Nick Yeung

Real-world settings impose constantly changing demands on cognition and behaviour. These task demands can often be predicted by the context, and the implicit learning of these probabilistic context-task associations may enhance task performance. While previous studies have focused on how task cues that are either probabilistic or implicit affect task-switching performance, the present study investigated how people learn and use contextual cues that are both implicit and probabilistic within a cued task-switching design. Participants showed response speed benefits when engaging in tasks that were predicted to be more likely by a preceding contextual cue. However, this probabilistic cueing effect was only seen when specific contextual cues were associated with task probabilities (Experiment 2), and not when contextual categories were associated with task probabilities (Experiment 1). The findings provide support for automatic activation of multiple task sets; a model of multiple concurrent task set activation and representation is proposed. Taken together, our findings suggest that people can implicitly learn probabilistic associations between specific contexts and tasks, and can use information from contexts to guide adaptive behaviour in dynamic environments.


2013 ◽  
Author(s):  
Starla M. Weaver ◽  
Glenn R. Wylie ◽  
Marina Shpaner ◽  
John J. Foxe

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