期刊
IETE JOURNAL OF RESEARCH
卷 49, 期 2-3, 页码 171-181出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/03772063.2003.11416335
关键词
learning; uncertainty; attention; Kalman filter; neuromodulation; acetylcholine; norepinephrine
It is a commonplace in statistics that uncertainty about parameters drives learning. Indeed one of them most influential models of behavioural learning has uncertainty at its heart. However, many popular theoretical models of learning focus exclusively on error, and ignore uncertainty. Here we review the links between learning and uncertainty from three perspectives: statistical theories such as the Kalman filter, psychological models in which differential attention is paid to stimuli with an effect on the speed of learning associated with those stimuli, and neurobiological data on the influence of the neuromodulators; acetylcholine and norepinephrine on learning and inference.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据