Open AccessGrid cell field reconstruction based on rat hippocampal cognitive mechanism and hebbian plasticity
Author(s) -
Yu Naigong,
Zhai Yujia
Publication year - 2020
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.1141
Subject(s) - hebbian theory , place cell , grid , computer science , field (mathematics) , grid cell , hippocampal formation , process (computing) , artificial intelligence , artificial neural network , neuroscience , biology , mathematics , geometry , pure mathematics , operating system
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.