Visual cognitive behavioral learning automatic training system of big and small mice

Abstract

The invention discloses a visual cognitive behavioral learning automatic training system of big and small mice. The visual cognitive behavioral learning automatic training system of the big and small mice comprises a training box, a main control unit, a video monitor, a microcontroller, a reward unit, a punishment unit, and a visual clue display unit. The microcontroller is connected with the main control unit through a universal serial bus (USB) interface in a communication mode. The training box is a structure that an opening is formed in the upper portion of the training box. The video monitor is arranged on the upper portion of the training box. The reward unit is composed of a food plate which is arranged on the lower portion of the training box, an infrared induction switch which is arranged on one side of the training box, and a water supply pipe which is arranged above the food plate and controlled by an electric control valve. The punishment unit is composed of a sweep frequency ultrasonic speaker which is arranged on the upper portion of the training box. The visual clue display unit comprises a capacitance-type touch screen and a display screen. The capacitance-type touch screen is arranged inside a frame. The lower frame of the frame is hinged with the side wall of the training box. The upper frame of the frame is connected with the side wall of the training box through a tension spring. The display screen is arranged at a rear position of the capacitance-type touch screen. The visual cognitive behavioral learning automatic training system of the big and small mice has the advantages that a visual cognitive behavioral learning automatic training to experimental animals is achieved.

Description

technical field [0001] The invention relates to a learning and training system for visual cognition and behavior of mice, in particular to an automatic training system for learning and learning of visual cognition and behavior of mice and mice. Background technique [0002] In the research fields of brain cognitive function, neural network plasticity, drug evaluation, genetic engineering, etc., the visual cognitive behavior experiments of rats and mice are often used to observe and evaluate the influence of different factors on brain cognitive function, that is, through training, the rats and mice learn to Complete specific behaviors according to visual cues, so as to evaluate their brain cognitive function according to their behavioral feedback results. Training is a key step in the learning process of visual cognitive behavior in rats. The purpose is to establish a conditioned reflex between specific visual cues and specific behavioral responses, and then complete visual c...

AI Technical Summary

Problems solved by technology

Rewards include food pills, fruit juice, milk, water, or electrical stimulation of virtual pleasure, among which food pills, fruit juice, milk and other reward methods are likely to cause blockage of the reward actuator, and rewards with single-taste food or juice milk are likely to cause animals to disgust, and it is not easy Establish an automated training system; electrical stimulation rewards use the stimulation of the brain's pleasure area to make animals obtain virtual rewards, which is easy to become addicted

Common punishment methods include sound and light stimulation, electric shock punishment, etc., but these punishment methods usually reduce the punishment effect by choosing a position or closing eyes, the stimulation intensity is not suitable to be determined or tolerated, or it is easy to cause excessive fear in animals so that the experiment cannot continue

[0003] In addition, some existing animal visual cognition behavior learning training systems are less automated in terms of hardware, experimental methods and data analysis.

In terms of hardware, pedals, joysticks or touch screens are often used to record the behavioral responses of the tested animals after the presentation of visual cues. The sensitivity of the pedals and joysticks is poor, and it is easy to miss the behavioral responses.

In terms of experimental methods and data analysis, it mostly relies on human experience to set experimental parameters or determine the experimental stage, without considering the impact of individual differences in different test animals on the training process, and it cannot be based on different test individuals and different stages of the learning process. Self-adaptive adjustment of training experimental parameters and switching of training modes lead to over-training or under-training of individual animals, and poor training effect stability; at the same time, more human participation is required in the experimental process, which is not only time-consuming and labor-intensive, but also harmful to the rats and mice. The training caused some interference, and the training period was long

[0004] Therefore, it is necessary to develop an automatic training system for visual cognitive behavior learning in rats and mice that can effectively improve the training success rate and stability and shorten the training cycle, but there are no reports on this aspect.

Images