Fard Pouyan R, Bitzer Sebastian, Pannasch Sebastian, Kiebel Stefan J
Department of Psychology, Technische Universität Dresden, Dresden, Germany.
Centre for Tactile Internet With Human-in-the-Loop (CeTI), Technische Universität Dresden, Dresden, Germany.
Front Neurosci. 2022 Mar 2;15:749728. doi: 10.3389/fnins.2021.749728. eCollection 2021.
In the study of perceptual decision making, it has been widely assumed that random fluctuations of motion stimuli are irrelevant for a participant's choice. Recently, evidence was presented that these random fluctuations have a measurable effect on the relationship between neuronal and behavioral variability, the so-called choice probability. Here, we test, in a behavioral experiment, whether stochastic motion stimuli influence the choices of human participants. Our results show that for specific stochastic motion stimuli, participants indeed make biased choices, where the bias is consistent over participants. Using a computational model, we show that this consistent choice bias is caused by subtle motion information contained in the motion noise. We discuss the implications of this finding for future studies of perceptual decision making. Specifically, we suggest that future experiments should be complemented with a stimulus-informed modeling approach to control for the effects of apparent decision evidence in random stimuli.
在感知决策的研究中,人们普遍认为运动刺激的随机波动与参与者的选择无关。最近,有证据表明这些随机波动对神经元和行为变异性之间的关系,即所谓的选择概率,有可测量的影响。在这里,我们在一项行为实验中测试随机运动刺激是否会影响人类参与者的选择。我们的结果表明,对于特定的随机运动刺激,参与者确实会做出有偏差的选择,而且这种偏差在参与者之间是一致的。使用一个计算模型,我们表明这种一致的选择偏差是由运动噪声中包含的微妙运动信息引起的。我们讨论了这一发现对未来感知决策研究的影响。具体而言,我们建议未来的实验应辅以一种基于刺激信息的建模方法,以控制随机刺激中明显决策证据的影响。