Bionic positioning method based on rat brain hippocampus space cells

Abstract

The invention provides a bionic positioning method based on rat brain hippocampus space cells. By means of the method, a robot can achieve the positioning function. The method belongs to the field ofbionics. Firstly, a robot explores the space environment, speed information and direction information are collected through a photoelectric encoder, and a speed cell model and a head orientation cellmodel process the linear speed and the angular speed respectively; then, a bidirectional connection network between the grid cells and the position cells is established, on one hand, the grid cells receive excitability input of an upstream cortex, inhibition input between the grid cells and feedback input of the position cells, and on the other hand, projection information of the grid cells drivesthe position cells to discharge; and finally, an environmental expression calculation model of the position cells is constructed, the correlation of the connection strength between the position cellsand the input cells is calculated, the position cells with the highest correlation with the input cells are selected as final winning cells, the discharge information of the cells is associated withthe position points, and the associated information is stored.

Description

technical field

[0001] The invention belongs to the technical field of bionics and is used for the bionic autonomous positioning of robots. According to the idea of ​​brain-inspired computing and the physiological characteristics and information transmission mechanism of the spatial cells in the rat brain hippocampus, a model is established to simulate the information transmission pathway of the hippocampal structure and the discharge law of the spatial cells, so as to realize the encoding, storage and memory of position information. Compared with non-bionic positioning methods, the bionic positioning method based on hippocampal spatial cells has lower requirements for hardware equipment and higher positioning accuracy. Background technique

[0002] With the advancement of science and technology, robot learning has developed rapidly, and bionic robots have gradually appeared in our field of vision. Through brain-like computing and other methods, bionic robots can simulate h...

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