A Category Theory Model for Learning and Memory of the Human Brain

摘要：

Learning and memory, which are important functions of the human brain, are the foundations of thinking. Revealing the learning and memory mechanism of human brain is the core objective and main development way of the intelligent science. Improved human brain functional structure model, a memory prediction structural framework on the brain structure and function are proposed. And then we work out a human brain learning and memory algebraic method based on the proposed framework, and offer a reasonable interpretation of the learning and memory mechanism of human brain. This framework provides a formaliztion method for the study of human brain functional structure and the establishment of image thinking reasoning system.

关键词： category functor J-diagram limit colimit

作者: Pan hong-jun Yao xiao-qiu Qi chang-song Chen hong-tao

作者单位: School of Mathematics, Physics and Information Science Zhejiang Ocean University Zhejiang Zhoushan, China

会议类型: 国际会议

会议名称: 2010 International Conference on Digital Manufacturing and Automation(2010 数字制造与自动化国际会议 ICDMA 2010)

会议地点: 长沙

会议语种:英文

页码: 11-14

在线出版日期: 2010-12-18（万方平台首次上网日期，不代表论文的发表时间）