Is it possible to make a neural network to solve this "reaction time test"? I'm thinking about writing an essay on the comparison between the human nervous system (reaction time) and a neural network that does the same reaction time test. I am very new in this area, so I was wondering if I can build a neural network that can perform a test like this: https://humanbenchmark.com/tests/reactiontime
I just wanted to know how I should approach this problem, and what would be the best way to compare it to the human nervous system.
I have thought about maybe using an image classification neural network, and have it looks for different colors and such, but not too sure about its technical aspects as of yet. Any help is appreciated.
Basically, what you want to do is an anomaly detection at the fastest speed possible. You need to sample the image at two timesteps and if there is a difference you click. The smaller the difference between your timesteps the better it is.
But, you would not need a neural network for it. Since, it is a single colour that will change. A color is represented by a 3-tuple (RGB) so you just need to compare them and if they are different then you click. A single if condition will suffice for it.