A MODEL OF PERCEPTUAL LEARNING INTEGRATED WITH TOP-DOWN INFORMATION

摘要：

Recent psychological and neurobiological experiments results show that top-down information such as attention and other higher cortical processes play an important role in perceptual learning issues, while current neural network models, mostly concerned with bottom-up information process only, do not combine the top-down information.In this paper, we give a model of perceptual learning that takes top-down information into account, and explain the mechanism of this model in the framework of information geometry.

关键词： Perceptual learning Top-down information Information geometry

作者: YUN-HUI LIU SI-WEI LUO ZI-ANG LV QI ZOU

作者单位: Department of Computer Science, Beijing Jiaotong University, Beijing, 100044, China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 3538-3542

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）