会议专题

An Iterative Model from Grid Cells to Place Cells

  Biological studies have shown that place cells have a single firing fields,which is the main basis for rats to know the current spatial location.The grid fields is hexagonal in the form of the whole space area.Grid cells are the main source of information input for place cells,so it is necessary to build a mapping model from grid cells to place cells.In order to solve this problem,an iteration model from grid cells to place cells is proposed.The model iterates the activation rate matrix of grid fields with different grid parameters in a given region,and realizes the mapping of grid cells to place cells.On this basis,a single place fields detection algorithm is added to improve the accuracy and efficiency of the model.The experimental results show that the model can not only map multiple grid fields to a single place fields,but also accurately locate the rats position in a given region.

Place cells Grid cells Place fields Grid fields Iterative model

Naigong Yu Yishen Liao Xiangguo Zheng Hui Feng

Faculty of Information Technology,Beijing University of Technology,Beijing 100124,China;Beijing Key Laboratory of Computational Intelligence and Intelligent System,Beijing University of Technology,Beijing 100124,China

国际会议

2019中国智能自动化大会(CIA,2019)

江苏镇江

英文

68-78

2019-09-20(万方平台首次上网日期,不代表论文的发表时间)