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作者:

Yu, Naigong (Yu, Naigong.) (学者:于乃功) | Zhai, Yujia (Zhai, Yujia.)

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EI

摘要:

The grid cells have obvious spatial firing characteristics and can form a hexagonal grid firing structure. It uses its own motion information to encode space, and forms a stable grid structure by integrating paths. Grid cells are an important part of spatial expression. Through spatial expression, mammals can find their way. Given a starting and ending point, many animals are able to navigate autonomously without training, finding a target point, and showing that the hippocampus plays a role. In the process of exploring the environment of rats, footprints will spread all over the environment, and grid cell field will be generated. However, due to errors in velocity estimation and inherent noise in neural calculation, the continuous accumulation of errors will lead to the instability of grid cell field. The authors use the plasticity of Hebbian to reconstruct the grid field, enhance the stability of the grid cell field, so that mammals can locate and navigate more accurately in complex or dynamic environments. © 2020 Institution of Engineering and Technology. All rights reserved.

关键词:

Artificial intelligence Brain Cells Cytology Mammals Navigation

作者机构:

  • [ 1 ] [Yu, Naigong]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 2 ] [Yu, Naigong]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China
  • [ 3 ] [Yu, Naigong]Engineering Research Center of Digital Community, Ministry of Education, Beijing, China
  • [ 4 ] [Zhai, Yujia]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 5 ] [Zhai, Yujia]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China
  • [ 6 ] [Zhai, Yujia]Engineering Research Center of Digital Community, Ministry of Education, Beijing, China

通讯作者信息:

  • 于乃功

    [yu, naigong]faculty of information technology, beijing university of technology, beijing, china;;[yu, naigong]engineering research center of digital community, ministry of education, beijing, china;;[yu, naigong]beijing key laboratory of computational intelligence and intelligent system, beijing, china

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年份: 2020

期: 13

卷: 2020

页码: 460-465

语种: 英文

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