Late Bayesian inference in mental transformations.
Late Bayesian inference in mental transformations.
复制标题
心理转变中的晚期贝叶斯推理。
DOI：
10.1038/s41467-018-06726-9
复制
发表时间：
2018
影响因子：
16.6
通讯作者：
Jazayeri,Mehrdad
中科院分区：
文献类型：
--
作者：
Remington,EvanD;Parks,TiffanyV;Jazayeri,Mehrdad
Many skills rely on performing noisy mental computations on noisy sensory measurements. Bayesian models suggest that humans compensate for measurement noise and reduce behavioral variability by biasing perception toward prior expectations. Whether a similar strategy is employed to compensate for noise in downstream mental and sensorimotor computations is not known. We tested humans in a battery of tasks and found that tasks which involved more complex mental transformations resulted in increased bias, suggesting that humans are able to mitigate the effect of noise in both sensorimotor and mental transformations. These results indicate that humans delay inference in order to account for both measurement noise and noise in downstream computations.
