Department of Psychology, University of California, Santa Cruz.
Department of Cognitive Sciences, University of California, Irvine.
Psychol Sci. 2024 Jul;35(7):760-779. doi: 10.1177/09567976241246561. Epub 2024 May 9.
Confidence is an adaptive computation when environmental feedback is absent, yet there is little consensus regarding how perceptual confidence is computed in the brain. Difficulty arises because confidence correlates with other factors, such as accuracy, response time (RT), or evidence quality. We investigated whether neural signatures of evidence accumulation during a perceptual choice predict subjective confidence independently of these factors. Using motion stimuli, a central-parietal positive-going electroencephalogram component (CPP) behaves as an accumulating decision variable that predicts evidence quality, RT, accuracy, and confidence (Experiment 1, = 25 adults). When we psychophysically varied confidence while holding accuracy constant (Experiment 2, = 25 adults), the CPP still predicted confidence. Statistically controlling for RT, accuracy, and evidence quality (Experiment 3, = 24 adults), the CPP still explained unique variance in confidence. The results indicate that a predecision neural signature of evidence accumulation, the CPP, encodes subjective perceptual confidence in decision-making independent of task performance.
当环境反馈缺失时，信心是一种适应性计算，但对于大脑如何计算感知信心，目前还没有达成共识。这是因为信心与其他因素相关，例如准确性、反应时间 (RT) 或证据质量。我们研究了在感知选择过程中，神经信号是否可以独立于这些因素，对证据积累进行预测，从而预测主观信心。使用运动刺激，中央顶叶正向上的脑电图成分 (CPP) 表现为一个积累的决策变量，可预测证据质量、RT、准确性和信心 (实验 1，= 25 位成年人)。当我们在保持准确性不变的情况下改变信心时 (实验 2，= 25 位成年人)，CPP 仍然可以预测信心。在统计上控制 RT、准确性和证据质量后 (实验 3，= 24 位成年人)，CPP 仍然可以解释信心的独特变化。结果表明，决策前的证据积累的神经信号 CPP 在决策过程中独立于任务表现，对主观感知信心进行编码。
