文献类型：期刊文献

英文题名：Reward Inference by Primate Prefrontal and Striatal Neurons

作者：Pan, Xiaochuan[1,2];Fan, Hongwei[2];Sawa, Kosuke[3];Tsuda, Ichiro[4];Tsukada, Minoru[2];Sakagami, Masamichi[2]

机构：[1]E China Univ Sci & Technol, Inst Cognit Neurodynam, Shanghai 200237, Peoples R China;[2]Tamagawa Univ, Brain Sci Inst, Machida, Tokyo 1948610, Japan;[3]Senshu Univ, Dept Psychol, Tama Ku, Kawasaki, Kanagawa 2148580, Japan;[4]Hokkaido Univ, Res Inst Elect Sci, Kita Ku, Sapporo, Hokkaido 0600812, Japan

年份：2014

卷号：34

期号：4

起止页码：1380

外文期刊名：JOURNAL OF NEUROSCIENCE

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000330360700029)】；

基金：The work was supported by a Grant-in-Aid for Scientific Research on Innovative Areas, a Grant-in-Aid for Scientific Research (A), and the Tamagawa Global Center of Excellence Program from the Ministry of Education, Culture, Sports, Science and Technology. X.P. is supported by the National Nature Science Foundation of China (Grant 11232005), the Fundamental Research Funds for the Central Universities of China, and the Shanghai Pujiang Program (Grant 13PJ1402000). Wethank M. Koizumi for technical assistance and D. Palomo and J.E. Taylor for insightful comments and discussion on this manuscript.

语种：英文

外文关键词：inference; model-based learning; model-free learning; prefrontal cortex; reward; striatum

摘要：The brain contains multiple yet distinct systems involved in reward prediction. To understand the nature of these processes, we recorded single-unit activity from the lateral prefrontal cortex (LPFC) and the striatum in monkeys performing a reward inference task using an asymmetric reward schedule. We found that neurons both in the LPFC and in the striatum predicted reward values for stimuli that had been previously well experienced with set reward quantities in the asymmetric reward task. Importantly, these LPFC neurons could predict the reward value of a stimulus using transitive inference even when the monkeys had not yet learned the stimulus-reward association directly; whereas these striatal neurons did not show such an ability. Nevertheless, because there were two set amounts of reward (large and small), the selected striatal neurons were able to exclusively infer the reward value (e.g., large) of one novel stimulus from a pair after directly experiencing the alternative stimulus with the other reward value (e.g., small). Our results suggest that although neurons that predict reward value for old stimuli in the LPFC could also do so for new stimuli via transitive inference, those in the striatum could only predict reward for new stimuli via exclusive inference. Moreover, the striatum showed more complex functions than was surmised previously for model-free learning.