Prospective decision making for randomly moving visual stimuli
Prospective decision making for randomly moving visual stimuli
复制标题
随机移动视觉刺激的前瞻性决策
DOI：
10.1038/s41598-019-40687-3
复制
发表时间：
2019
影响因子：
4.6
通讯作者：
Motoyoshi Isamu
中科院分区：
文献类型：
--
作者：
Yashiro Ryuto;Sato Hiromi;Motoyoshi Isamu
尽管自然事件常常包含着不确定的基本因素，但人类仍坚持着预测未来的企图。本研究通过一个简单的心理物理任务，探讨了前瞻性决策偏差的计算机制。观察者观察随机移动的Gabor目标T秒，并预测其在刺激抵消后ΔT秒的未来位置。应用反向相关分析，我们发现观察者的决策主要集中在目标速度的最后一部分，特别是在最后几次方向反转之后的速度信息。如果目标随机运动明确地包含额外的线性趋势，观察者也倾向于利用线性趋势的信息。这些行为数据可以通过基于证据积累和自适应增益控制的感知决策的泄漏积分器模型得到很好的解释。研究结果提出了一种可能性，即对未来事件的前瞻性决策遵循的原则与对过去事件的回顾性决策类似。
Humans persist in their attempts to predict the future in spite of the fact that natural events often involve a fundamental element of uncertainty. The present study explored computational mechanisms underlying biases in prospective decision making by using a simple psychophysical task. Observers viewed a randomly moving Gabor target for T sec and anticipated its future position ΔT sec following stimulus offset. Applying reverse correlation analysis, we found that observer decisions focused heavily on the last part of target velocity and especially on velocity information following the last several direction reversals. If target random motion explicitly contained an additional linear trend, observers tended to utilize information of the linear trend as well. These behavioral data are well explained by a leaky-integrator model of perceptual decision making based on evidence accumulation with adaptive gain control. The results raise the possibility that prospective decision making toward future events follows principles similar to those involved in retrospective decision making toward past events.