Late Bayesian inference in mental transformations

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 noi...

全面介绍

书目详细资料
Main Authors: Remington, Evan D, Parks, Tiffany V, Jazayeri, Mehrdad
其他作者: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
格式: 文件
出版: Nature Publishing Group 2019
在线阅读:http://hdl.handle.net/1721.1/121034
https://orcid.org/0000-0003-4431-8195
https://orcid.org/0000-0001-6052-6213