https://scholars.lib.ntu.edu.tw/handle/123456789/625589
標題: | Inseparability of go and stop in inhibitory control: Go stimulus discriminability affects stopping behavior | 作者: | Ma N ANGELA YU-CHEN LIN |
關鍵字: | Bayesian modeling; Decision making; Inhibitory control; Perceptual uncertainty; Stop signal task | 公開日期: | 2016 | 卷: | 10 | 期: | MAR | 來源出版物: | Frontiers in Neuroscience | 摘要: | Inhibitory control, the ability to stop or modify preplanned actions under changing task conditions, is an important component of cognitive functions. Two lines of models of inhibitory control have previously been proposed for human response in the classical stop-signal task, in which subjects must inhibit a default go response upon presentation of an infrequent stop signal: (1) the race model, which posits two independent go and stop processes that race to determine the behavioral outcome, go or stop; and (2) an optimal decision-making model, which posits that observers decides whether and when to go based on continually (Bayesian) updated information about both the go and stop stimuli. In this work, we probe the relationship between go and stop processing by explicitly manipulating the discrimination difficulty of the go stimulus. While the race model assumes the go and stop processes are independent, and therefore go stimulus discriminability should not affect the stop stimulus processing, we simulate the optimal model to show that it predicts harder go discrimination should result in longer go reaction time (RT), lower stop error rate, as well as faster stop-signal RT. We then present novel behavioral data that validate these model predictions. The results thus favor a fundamentally inseparable account of go and stop processing, in a manner consistent with the optimal model, and contradicting the independence assumption of the race model. More broadly, our findings contribute to the growing evidence that the computations underlying inhibitory control are systematically modulated by cognitive influences in a Bayes-optimal manner, thus opening new avenues for interpreting neural responses underlying inhibitory control. © 2016 Ma and Yu. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964318787&doi=10.3389%2ffnins.2016.00054&partnerID=40&md5=068c53d82a45f7416587e69bde7abe52 https://scholars.lib.ntu.edu.tw/handle/123456789/625589 |
ISSN: | 16624548 | DOI: | 10.3389/fnins.2016.00054 | SDG/關鍵字: | model; nerve potential; prediction; psychological model; race; reaction time; stimulus |
顯示於: | 環境工程學研究所 |
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