Construction of the rat brain spatial cell firing model on a quadruped robot
Abstract Physiological studies have shown that rats in a dark environment rely on the limbs and vestibule for their self‐motion information, which can maintain the specific firing patterns of grid cells and hippocampal CA3 place cells. In the development stage of rats, grid cells are considered to c...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-12-01
|
| Series: | CAAI Transactions on Intelligence Technology |
| Online Access: | https://doi.org/10.1049/cit2.12091 |
| _version_ | 1811179692238045184 |
|---|---|
| author | Naigong Yu Yishen Liao Hejie Yu Ouattara Sie |
| author_facet | Naigong Yu Yishen Liao Hejie Yu Ouattara Sie |
| author_sort | Naigong Yu |
| collection | DOAJ |
| description | Abstract Physiological studies have shown that rats in a dark environment rely on the limbs and vestibule for their self‐motion information, which can maintain the specific firing patterns of grid cells and hippocampal CA3 place cells. In the development stage of rats, grid cells are considered to come from place cells, and place cells can be encoded by hippocampal theta cells. Based on these, the quadruped robot is used as a platform in this paper. Firstly, the sensing information of the robot's limbs and inertial measurement unit is obtained to solve its position in the environment. Then the position information is encoded by theta cells and mapped to place cells through a neural network. After obtaining the place cells with single‐peak firing fields, Hebb learning is used to adjust the connection weight of the neural network between place cells and grid cells. In order to verify the model, 3‐D simulation experiments are designed in this paper. The experiment results show that with the robot exploring in space, the spatial cells firing effects obtained by the model are consistent with the physiological research facts, which lay the foundation for the bionic environmental cognition model. |
| first_indexed | 2024-04-11T06:38:57Z |
| format | Article |
| id | doaj.art-205f7b70faa349c088875e155007122d |
| institution | Directory Open Access Journal |
| issn | 2468-2322 |
| language | English |
| last_indexed | 2024-04-11T06:38:57Z |
| publishDate | 2022-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | CAAI Transactions on Intelligence Technology |
| spelling | doaj.art-205f7b70faa349c088875e155007122d2022-12-22T04:39:36ZengWileyCAAI Transactions on Intelligence Technology2468-23222022-12-017473274310.1049/cit2.12091Construction of the rat brain spatial cell firing model on a quadruped robotNaigong Yu0Yishen Liao1Hejie Yu2Ouattara Sie3Faculty of Information Technology Beijing University of Technology Beijing ChinaFaculty of Information Technology Beijing University of Technology Beijing ChinaFaculty of Information Technology Beijing University of Technology Beijing ChinaFaculty of Information Technology Beijing University of Technology Beijing ChinaAbstract Physiological studies have shown that rats in a dark environment rely on the limbs and vestibule for their self‐motion information, which can maintain the specific firing patterns of grid cells and hippocampal CA3 place cells. In the development stage of rats, grid cells are considered to come from place cells, and place cells can be encoded by hippocampal theta cells. Based on these, the quadruped robot is used as a platform in this paper. Firstly, the sensing information of the robot's limbs and inertial measurement unit is obtained to solve its position in the environment. Then the position information is encoded by theta cells and mapped to place cells through a neural network. After obtaining the place cells with single‐peak firing fields, Hebb learning is used to adjust the connection weight of the neural network between place cells and grid cells. In order to verify the model, 3‐D simulation experiments are designed in this paper. The experiment results show that with the robot exploring in space, the spatial cells firing effects obtained by the model are consistent with the physiological research facts, which lay the foundation for the bionic environmental cognition model.https://doi.org/10.1049/cit2.12091 |
| spellingShingle | Naigong Yu Yishen Liao Hejie Yu Ouattara Sie Construction of the rat brain spatial cell firing model on a quadruped robot CAAI Transactions on Intelligence Technology |
| title | Construction of the rat brain spatial cell firing model on a quadruped robot |
| title_full | Construction of the rat brain spatial cell firing model on a quadruped robot |
| title_fullStr | Construction of the rat brain spatial cell firing model on a quadruped robot |
| title_full_unstemmed | Construction of the rat brain spatial cell firing model on a quadruped robot |
| title_short | Construction of the rat brain spatial cell firing model on a quadruped robot |
| title_sort | construction of the rat brain spatial cell firing model on a quadruped robot |
| url | https://doi.org/10.1049/cit2.12091 |
| work_keys_str_mv | AT naigongyu constructionoftheratbrainspatialcellfiringmodelonaquadrupedrobot AT yishenliao constructionoftheratbrainspatialcellfiringmodelonaquadrupedrobot AT hejieyu constructionoftheratbrainspatialcellfiringmodelonaquadrupedrobot AT ouattarasie constructionoftheratbrainspatialcellfiringmodelonaquadrupedrobot |