Lee Sang Wan, O'Doherty John P, Shimojo Shinsuke
Computation & Neural Systems, MC228-77, California Institute of Technology, Pasadena, California, United States of America; Behavioral & Social Neuroscience, MC228-77, California Institute of Technology, Pasadena, California, United States of America; Division of Humanities and Social Sciences, MC228-77, California Institute of Technology, Pasadena, California, United States of America.
Computation & Neural Systems, MC228-77, California Institute of Technology, Pasadena, California, United States of America; Behavioral & Social Neuroscience, MC228-77, California Institute of Technology, Pasadena, California, United States of America; Division of Biology and Biological Engineering, MC228-77, California Institute of Technology, Pasadena, California, United States of America.
PLoS Biol. 2015 Apr 28;13(4):e1002137. doi: 10.1371/journal.pbio.1002137. eCollection 2015 Apr.
Incremental learning, in which new knowledge is acquired gradually through trial and error, can be distinguished from one-shot learning, in which the brain learns rapidly from only a single pairing of a stimulus and a consequence. Very little is known about how the brain transitions between these two fundamentally different forms of learning. Here we test a computational hypothesis that uncertainty about the causal relationship between a stimulus and an outcome induces rapid changes in the rate of learning, which in turn mediates the transition between incremental and one-shot learning. By using a novel behavioral task in combination with functional magnetic resonance imaging (fMRI) data from human volunteers, we found evidence implicating the ventrolateral prefrontal cortex and hippocampus in this process. The hippocampus was selectively "switched" on when one-shot learning was predicted to occur, while the ventrolateral prefrontal cortex was found to encode uncertainty about the causal association, exhibiting increased coupling with the hippocampus for high-learning rates, suggesting this region may act as a "switch," turning on and off one-shot learning as required.
增量学习是指通过反复试验逐渐获取新知识,它与一次性学习不同,一次性学习是指大脑仅从刺激与结果的单一配对中快速学习。关于大脑如何在这两种根本不同的学习形式之间转换,我们知之甚少。在这里,我们测试了一种计算假设,即刺激与结果之间因果关系的不确定性会导致学习速率的快速变化,进而介导增量学习和一次性学习之间的转换。通过使用一种新颖的行为任务,并结合来自人类志愿者的功能磁共振成像(fMRI)数据,我们发现有证据表明腹外侧前额叶皮层和海马体参与了这一过程。当预测会发生一次性学习时,海马体被选择性地“开启”,而腹外侧前额叶皮层被发现对因果关联的不确定性进行编码,在高学习速率下与海马体的耦合增加,这表明该区域可能充当一个“开关”,根据需要开启和关闭一次性学习。