Experimental mouse response monitor

Abstract

The invention discloses an experimental mouse response monitor, which comprises a mouse accommodating area, a grating, a grating driving module, a camera module and an upper computer, wherein the mouse accommodating area is constituted by a barrel; the grating is an enclosed annular surface which is constituted by black and white stripes which are distributed alternately; the grating driving module and the grating are connected to the upper computer; the upper computer can transmit control signals to the grating driving module, so that the grating is driven to rotate in a mode of taking a circle center thereof as a rotating shaft; the camera module is arranged at the top of the barrel and is connected to the upper computer, so that mouse images, which are shot, are transmitted to the upper computer; a mouse head length L1, a distance L2 between the center of a mouse head and the center of a mouse body and a preset proportion P1, which are measured under a natural state, are pre-saved in the upper computer, and the preset proportion P1 is a reference value of body elongation response of a normal mouse relative to the rotating grating; and the upper computer is used for processing each frame of mouse image, so as to judge a probability of elongation change of the mouse within a time T, and subsequently to judge whether neurological functions of the mouse are normal or not.

Description

technical field [0001] The invention relates to the field of neurological function research, in particular to an experimental mouse reaction monitor. Background technique [0002] Behavioral movement monitoring is a very important direction in the study of neurological function. In the study of neurological function, model animals (such as mice) are often used for related experiments. Whether the nerves of the model animals are complete and the function is normal often requires artificial intelligence. Observation can judge whether the neurological function is normal by observing whether it responds to external signal intervention, so as to further study the pathogenesis or pathogenic genes of neurological diseases. However, because model animals cannot describe their subjective feelings in words, and there are large differences among different individuals, recording and tracking the behavioral pattern data of model animals has always been a difficult problem in the field of...

AI Technical Summary

Problems solved by technology

However, because model animals cannot use language to describe their subjective feelings, and there are large differences between different individuals, recording and tracking the behavioral pattern data of model animals has always been a difficult problem in the field of neuroscience research

At present, although there are some devices and systems that can record and track the behavioral data of model animals, there are generally problems such as large volume, high cost, low accuracy and unreliable results.

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