1. The entire system supports both conditioned fear and shock reflex experiments. These two experiments can share the same software analysis system and are suitable for mice and rats weighing 15g to 500g.
2. It uses a sensitive gravity sensor with a detection range of 10mg to 2KG. The weight sensitivity can be adjusted via software parameters.
3. It can measure various parameters, including the time of onset, duration, and frequency of immobility, as well as the amplitude, duration, latency, and average value of responses.
4. Each chamber is equipped with soundproofing devices. The dimensions are 670*530*550 mm, and the soundproofing effect is below 20dB.
5. Prepulse/pulse acoustic stimuli: 200 -10000 Hz, maximum 120 dB; white noise: 60 -120 dB.
6. The standard foot grid has a spacing of 10 mm. The grid floor's electrical shock current output is 0-2mA, and the electrical stimulation duration is 0.1 -99 seconds.
7. A tray is installed at the bottom of the chamber for easy collection of animal feces and urine, as well as for cleaning.
8. The same workstation can control up to 8 experimental chambers simultaneously, allowing experiments on both mice and rats at the same time. Multiple different experimental protocol parameters can be set and stored for selection.
9. It can display signal graphs and data tables in real - time. These graphs and tables can be stored, reloaded, and parameters can be adjusted for further analysis.

A conditional fear box is a device for studying animals' fear responses. It combines conditional fear and shock reflection experiments, enabling both types of experiments to be done in one system. The conditional fear experiment is the preferred one for studying emotion-related conditional memory. The shock reflection experiment includes pre-stimulus startle and latent fear startle. These experiments are of great importance for studying memory, attention and emergency responses.The box's body uses special gravity sensor technology to record animal behavior. It can accurately detect animals' tiny movements like turning or raising their heads. These movements can be recorded by sensors and input into a computer for data analysis by specific software.