A biomimetic navigation method based on the reconstruction of grid cells in the rat brain hippocampus

A technology of grid cells and navigation method, applied in the field of bionics, can solve the problem of rat confirming the direction and so on

Active Publication Date: 2021-01-05
BEIJING UNIV OF TECH
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Problems solved by technology

Biological studies have found that cognitive maps are indeed an important factor for mammals to complete navigation tasks, but cognitive maps alone cannot help rats determine the next direction

Method used

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  • A biomimetic navigation method based on the reconstruction of grid cells in the rat brain hippocampus
  • A biomimetic navigation method based on the reconstruction of grid cells in the rat brain hippocampus
  • A biomimetic navigation method based on the reconstruction of grid cells in the rat brain hippocampus

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Embodiment Construction

[0068] Such as figure 1 As shown, after collecting the speed information and angle information of the rat, they act on the head orientation cells and stripe cells respectively to generate head orientation signals and stripe signals, both of which are used as the input signals of the grid cells, which are continuous for grid cell establishment. Attractor model, apply the Hebbian algorithm to the grid cell model, calculate the scale of the grid cell, form a stable grid cell grid field, on this basis, calculate the appropriate distance from the current position to the target position through the distance cell model , and accomplish goal-oriented navigation through path planning.

[0069] 1. Self-positioning

[0070] 1.1 Provide forward input to the grid cell model used for positioning by constructing the head-oriented cell model, that is, output the head-oriented signal The specific process is as follows:

[0071] The first step is to obtain the instantaneous angle θ and calc...

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Abstract

The invention relates to a bionic navigation method based on mouse brain hippocampus grid cell reconstruction, and belongs to the technical field of bionics. The method comprises the steps of firstlyconstructing a head orientation cell model by combining angular velocity information; constructing a striped cell model by combining the speed information; secondly, constructing a grid cell model bytaking the head orientation signal and the stripe signal as forward input; then, using a Hebbian algorithm for reconstructing a grid cell grid field, and constructing a distance cell model based on the grid cells to calculate the vector distance from the current position to the target position, recalculating the vector distance to the target position from the starting point every step, and continuously updating the position and the distance until the target-oriented navigation is finally completed. According to the method, the stability of the grid cell grid field is effectively improved, andthe accuracy and real-time performance of target navigation are effectively improved by means of calculation of the vector distance. The method can be widely applied to the fields of the target-oriented navigation of bionic robots, brain-like computing and the like.

Description

technical field [0001] The invention belongs to the technical field of bionics and is used for bionic navigation of robots. Using brain-inspired computing, the basic laws of information processing in the brain are used to imitate the physiological characteristics of spatial cell discharge in the hippocampus, and it is expressed by building a model. Compared with non-bionic navigation, bionic navigation has more powerful flexibility and intelligence. Background technique [0002] With the continuous development of society, robots have played a very important role in our lives, and the progress of science and technology has gradually made robots more comprehensive and intelligent. The invention and application of bionic robots make robots more and more close to human beings. The original robots often have fixed programs and perform tasks according to the programs, which are relatively rigid and are often used to complete repetitive non-intelligent work. The bionic robot can...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/00G01C21/20
Inventor 于乃功翟羽佳王宗侠魏雅乾王林黄静
Owner BEIJING UNIV OF TECH
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