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  1. Attentional prioritization reconfigures novel instructions into action-oriented task sets.Carlos González-García, Silvia Formica, Baptist Liefooghe & Marcel Brass - 2020 - Cognition 194 (C):104059.
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  • Processing speed enhances model-based over model-free reinforcement learning in the presence of high working memory functioning.Daniel J. Schad, Elisabeth Jünger, Miriam Sebold, Maria Garbusow, Nadine Bernhardt, Amir-Homayoun Javadi, Ulrich S. Zimmermann, Michael N. Smolka, Andreas Heinz, Michael A. Rapp & Quentin J. M. Huys - 2014 - Frontiers in Psychology 5:117016.
    Theories of decision-making and its neural substrates have long assumed the existence of two distinct and competing valuation systems, variously described as goal-directed vs. habitual, or, more recently and based on statistical arguments, as model-free vs. model-based reinforcement-learning. Though both have been shown to control choices, the cognitive abilities associated with these systems are under ongoing investigation. Here we examine the link to cognitive abilities, and find that individual differences in processing speed covary with a shift from model-free to model-based (...)
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  • Learning and transfer of working memory gating policies.Apoorva Bhandari & David Badre - 2018 - Cognition 172 (C):89-100.
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  • The effects of declaratively maintaining and proactively proceduralizing novel stimulus-response mappings.Silvia Formica, Carlos González-García & Marcel Brass - 2020 - Cognition 201 (C):104295.
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  • Role of Frontal Functions in Executing Routine Sequential Tasks.Chiharu Niki, Takatsune Kumada, Takashi Maruyama, Manabu Tamura & Yoshihiro Muragaki - 2019 - Frontiers in Psychology 10.
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  • Spatio-Temporal Brain Dynamic Differences in Fluid Intelligence.Nadja Tschentscher & Paul Sauseng - 2022 - Frontiers in Human Neuroscience 16.
    Human fluid intelligence is closely linked to the sequential solving of complex problems. It has been associated with a distributed cognitive control or multiple-demand network, comprising regions of lateral frontal, insular, dorsomedial frontal, and parietal cortex. Previous neuroimaging research suggests that the MD network may orchestrate the allocation of attentional resources to individual parts of a complex task: in a complex target detection task with multiple independent rules, applied one at a time, reduced response to rule-critical events across the MD (...)
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