A Model of Spatial Cell Development in Rat Hippocampus Based on Artificial Neural Network

Physiological studies have shown that the hippocampal structure of rats develops at different stages, in which the place cells continue to develop during the whole juvenile period of rats and mature after the juvenile period. As the main information source of place cells, grid cells should mature ea...

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Autores principales:	Naigong Yu, Hejie Yu, Yishen Liao, Zongxia Wang, Ouattara Sie
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Medicine (General) R5-920 Medical technology R855-855.5
Acceso en línea:	https://doaj.org/article/a2ccb194286d49c486ebb8417731e61c
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id	oai:doaj.org-article:a2ccb194286d49c486ebb8417731e61c
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spelling	oai:doaj.org-article:a2ccb194286d49c486ebb8417731e61c2021-11-08T02:35:29ZA Model of Spatial Cell Development in Rat Hippocampus Based on Artificial Neural Network2040-230910.1155/2021/5607999https://doaj.org/article/a2ccb194286d49c486ebb8417731e61c2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/5607999https://doaj.org/toc/2040-2309Physiological studies have shown that the hippocampal structure of rats develops at different stages, in which the place cells continue to develop during the whole juvenile period of rats and mature after the juvenile period. As the main information source of place cells, grid cells should mature earlier than place cells. In order to make better use of the biological information exhibited by the rat brain hippocampus in the environment, we propose a position cognition model based on the spatial cell development mechanism of rat hippocampus. The model uses a recurrent neural network with parametric bias (RNNPB) to simulate changes in the discharge characteristics during the development of a single stripe cell. The oscillatory interference mechanism is able to fuse the developing stripe waves, thus indirectly simulating the developmental process of the grid cells. The output of the grid cells is then used as the information input of the place cells, whose development process is simulated by BP neural network. After the place cells matured, the position matrix generated by the place cell group was used to realize the position cognition of rats in a given spatial region. The experimental results show that this model can simulate the development process of grid cells and place cells, and it can realize high precision positioning in the given space area. Moreover, the experimental effect of cognitive map construction using this model is basically consistent with the effect of RatSLAM, which verifies the validity and accuracy of the model.Naigong YuHejie YuYishen LiaoZongxia WangOuattara SieHindawi LimitedarticleMedicine (General)R5-920Medical technologyR855-855.5ENJournal of Healthcare Engineering, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine (General) R5-920 Medical technology R855-855.5
spellingShingle	Medicine (General) R5-920 Medical technology R855-855.5 Naigong Yu Hejie Yu Yishen Liao Zongxia Wang Ouattara Sie A Model of Spatial Cell Development in Rat Hippocampus Based on Artificial Neural Network
description	Physiological studies have shown that the hippocampal structure of rats develops at different stages, in which the place cells continue to develop during the whole juvenile period of rats and mature after the juvenile period. As the main information source of place cells, grid cells should mature earlier than place cells. In order to make better use of the biological information exhibited by the rat brain hippocampus in the environment, we propose a position cognition model based on the spatial cell development mechanism of rat hippocampus. The model uses a recurrent neural network with parametric bias (RNNPB) to simulate changes in the discharge characteristics during the development of a single stripe cell. The oscillatory interference mechanism is able to fuse the developing stripe waves, thus indirectly simulating the developmental process of the grid cells. The output of the grid cells is then used as the information input of the place cells, whose development process is simulated by BP neural network. After the place cells matured, the position matrix generated by the place cell group was used to realize the position cognition of rats in a given spatial region. The experimental results show that this model can simulate the development process of grid cells and place cells, and it can realize high precision positioning in the given space area. Moreover, the experimental effect of cognitive map construction using this model is basically consistent with the effect of RatSLAM, which verifies the validity and accuracy of the model.
format	article
author	Naigong Yu Hejie Yu Yishen Liao Zongxia Wang Ouattara Sie
author_facet	Naigong Yu Hejie Yu Yishen Liao Zongxia Wang Ouattara Sie
author_sort	Naigong Yu
title	A Model of Spatial Cell Development in Rat Hippocampus Based on Artificial Neural Network
title_short	A Model of Spatial Cell Development in Rat Hippocampus Based on Artificial Neural Network
title_full	A Model of Spatial Cell Development in Rat Hippocampus Based on Artificial Neural Network
title_fullStr	A Model of Spatial Cell Development in Rat Hippocampus Based on Artificial Neural Network
title_full_unstemmed	A Model of Spatial Cell Development in Rat Hippocampus Based on Artificial Neural Network
title_sort	model of spatial cell development in rat hippocampus based on artificial neural network
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/a2ccb194286d49c486ebb8417731e61c
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A Model of Spatial Cell Development in Rat Hippocampus Based on Artificial Neural Network

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