The Computational Models and Neural Mechanisms of the Speed-Accuracy Trade-Off
Ming Qian-guo1 Kang Yin-shi2 Xiu Xi-wang3
1. Behavioral Science Institute, Radboud University, Nijmegen, 6525GD, Netherlands; 2. School of Psychology，South China Normal University，Guangzhou 510631，China; 3. School of education, Handan University, Handan, 056005, China
Abstract：The speed-accuracy trade-off is a common phenomenon in decision-making and action control, where humans and animals often need to balance between ensuring accuracy and speeding up their response. Computational modeling has become a cornerstone in research dedicated to elucidating this phenomenon. This article offers a comprehensive review of quintessential sequential sampling models, including the drift-diffusion model and urgency signal models, which have been instrumental in interpreting the speed-accuracy trade-off. Furthermore, we encapsulate findings from neural imaging studies that delve into this trade-off. Future research should focus on examining the influence of contextual factors on decision strategies in speed-accuracy trade-off, investigating their relationship with personality traits and other cognitive functions, and refining the link between neural mechanisms and computational models of the speed-accuracy trade-off.
郭鸣谦，史康音，王秀希. 速度-准确性权衡的计算模型和其神经机制[J]. 应用心理学, 2024, 30(5): 457-469.
Ming Qian-guo，Kang Yin-shi，Xiu Xi-wang. The Computational Models and Neural Mechanisms of the Speed-Accuracy Trade-Off. 应用心理学, 2024, 30(5): 457-469.
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