Schlunegger Daniel, Mast Fred W
Department of Psychology, University of Bern, 3012 Bern, Switzerland.
iScience. 2023 Jun 14;26(7):107123. doi: 10.1016/j.isci.2023.107123. eCollection 2023 Jul 21.
Expectations of sensory information change not only how well but also what we perceive. Even in an unpredictable environment, the brain is by default constantly engaged in computing probabilities between sensory events. These estimates are used to generate predictions about future sensory events. Here, we investigated the predictability of behavioral responses using three different learning models in three different one-interval two-alternative forced choice experiments with either auditory, vestibular, or visual stimuli. Results indicate that recent decisions, instead of the sequence of generative stimuli, cause serial dependence. By bridging the gap between sequence learning and perceptual decision making, we provide a novel perspective on sequential choice effects. We propose that serial biases reflect the tracking of statistical regularities of the decision variable, offering a broader understanding of this phenomenon.
对感官信息的预期不仅会改变我们的感知程度，还会改变我们所感知的内容。即使在不可预测的环境中，大脑默认情况下也会持续计算感官事件之间的概率。这些估计值用于生成对未来感官事件的预测。在此，我们在三个不同的单间隔二选一强制选择实验中，使用三种不同的学习模型，分别针对听觉、前庭或视觉刺激，研究了行为反应的可预测性。结果表明，是最近的决策而非生成刺激的序列导致了序列依赖性。通过弥合序列学习与感知决策之间的差距，我们为序列选择效应提供了一个全新的视角。我们提出，序列偏差反映了决策变量统计规律的追踪情况，从而对这一现象有更广泛的理解。
