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Switch costs in inhibitory control and voluntary behavior: A computational study of the antisaccade task

Switch costs in inhibitory control and voluntary behavior: A computational study of the antisaccade task

来源:bioRxiv_logobioRxiv
英文摘要

Abstract An integral aspect of human cognition is the ability to inhibit habitual responses in order to initiate complex, rule-guided actions. Moreover, humans have also the ability to alternate between different sets of rules or tasks, at the cost of degraded performance when compared to repeating the same task, a phenomenon called the ‘task switch cost’. While it is recognized that switching between tasks requires often to inhibit habitual responses, the interaction between these two forms of cognitive control has been much less studied than each of them separately. Here, we use a computational model to draw a bridge between inhibitory control and voluntary action generation and thereby provide a novel account of seemingly paradoxical findings in the task switch literature. We investigated task switching in the mixed antisaccade task, in which participants are cued to saccade either in the same or in the opposite direction to a peripheral stimulus. Our model demonstrates that stopping a habitual action leads to increased inhibitory control that persists on the next trial. However, enhanced inhibition affects only the probability of generating habitual responses, and, contrary to previous accounts, cannot be characterized as proactive task interference. In addition, our model demonstrates that voluntary actions (but not habitual responses) are slower and more prompt to errors on switch trials compared to repeat trials. We conclude that precisely the interaction between these two effects explains a variety of contradictory findings reported in the literature.

Aponte Eduardo A.、Heinzle Jakob、Stephan Klaas E.

Translational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH ZurichTranslational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH ZurichTranslational Neuromodeling Unit (TNU), Institute for Biomedical Engineering, University of Zurich and ETH Zurich||Wellcome Centre for Human Neuroimaging, University College London||Max Planck Institute for Metabolism Research

10.1101/313643

计算技术、计算机技术

SERIA modelantisaccadesswitch costsresponse inhibitionvoluntary control

Aponte Eduardo A.,Heinzle Jakob,Stephan Klaas E..Switch costs in inhibitory control and voluntary behavior: A computational study of the antisaccade task[EB/OL].(2025-03-28)[2025-05-04].https://www.biorxiv.org/content/10.1101/313643.点此复制

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