文献类型：会议论文

英文题名：A Comparison of Reward Values Encoding Function Between the Prefrontal Cortex and Striatum in Monkey

作者：Wen, Zaizhi[1];Zhang, Jianhua[1,2];Pan, Xiaochuan[2]

机构：[1]East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai, Peoples R China;[2]East China Univ Sci & Technol, Inst Cognit Neurodynam, Shanghai, Peoples R China

会议论文集：6th International Conference on Cognitive Neurodynamics (ICCN)

会议日期：AUG 01-05, 2017

会议地点：Carmona, SPAIN

语种：英文

外文关键词：Prefrontal cortex; Striatum; Reward prediction; Support vector machine; Random forest; ApEn

摘要：Reward prediction is essential for learning behavior and decision-making process in the brain. It is well known that neurons in both prefrontal cortex (PFC) and striatum are involved in encoding reward values. The difference in reward coding function between these two brain regions remains unclear. In this work, local field potentials (LFPs) were recorded in the lateral PFC and striatum of a male monkey while performing a reward prediction task. A pattern classification method was used to characterize the function of PFC and striatum for encoding reward values. We used two different feature extraction methods to extract input features to two different classifiers, including random forest (RF) and support vector machine (SVM). We optimized the SVM using the particle swarm optimization (PSO) algorithm. The results suggested that even in a model-based process, the neurons in striatum are capable of encoding more reward information than those in PFC.