Please submit manuscripts in either of the following two submission systems

    ScholarOne Manuscripts

  • ScholarOne
  • 勤云稿件系统

  • 登录

Search by Issue

  • 2024 Vol.31
  • 2023 Vol.30
  • 2022 Vol.29
  • 2021 Vol.28
  • 2020 Vol.27
  • 2019 Vol.26
  • 2018 Vol.25
  • 2017 Vol.24
  • 2016 vol.23
  • 2015 vol.22
  • 2014 vol.21
  • 2013 vol.20
  • 2012 vol.19
  • 2011 vol.18
  • 2010 vol.17
  • 2009 vol.16
  • No.1
  • No.2

Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

期刊网站二维码
微信公众号二维码
Related citation:
【Print】   【HTML】   【PDF download】   View/Add Comment  Download reader   Close
Back Issue    Advanced Search
This paper has been: browsed 4067times   downloaded 3751times  
Shared by: Wechat More
Improved Computational Model of Grid Cells Based on Column Structure
Author NameAffiliationAddress
Yang Zhou College of Information and Navigation,Air Force engineering University 陕西西安沣镐东路1号研究生二队 空军工程大学信息与导航学院
Dewei Wu College of Information and Navigation,Air Force engineering University 
Weilong Li College of Information and Navigation,Air Force engineering University 
Jia Du College of Information and Navigation,Air Force engineering University 
Abstract:
To simulate the firing pattern of biological grid cells, this paper presents an improved computational model of grid cells based on column structure. In this model, the displacement along different directions is processed by modulus operation, and the obtained remainder is associated with firing rate of grid cell. Compared with the original model, the improved parts include that: the base of modulus operation is changed, and the firing rate in firing field is encoded by Gaussian-like function. Simulation validates that the firing pattern generated by the improved computational model is more consistent with biological characteristic than original model. Besides, the firing pattern is badly influenced by the cumulative positioning error, but the computational model can also generate the regularly hexagonal firing pattern when the real-time positioning results are modified
Key words:  grid cells  firing pattern  bionic navigation
DOI:10.11916/j.issn.1005-9113.2016.03.004
Clc Number:TP391
Fund:
Descriptions in Chinese:
  在动物导航过程中,网格细胞的放电与动物空间转换有关。当网格细胞的放电机理应用于运行体导航时,首先需要解决的问题是网格细胞放电样式的模拟。本文提出一种改进的柱状结构下网格细胞计算模型。相对原模型,该模型改进的内容包括:一是改变了模数运算的基数;二是,采用高斯状的函数对放电野中网格细胞的放电率进行了编码。仿真结果表明,改进的模型比原模型更能模拟生物网格细胞的放电特性,同时发现,产生的放电样式易受累积定位误差的影响,但是当实时定位结果得到修正时,该计算模型仍能产生规则的等边六边形放电样式。

LINKS