A team of researchers placed several years ago in a robot assembled from Lego parts, the roundworm Caenorhabditis elegans. Now, experts have developed an option, everyone can participate in the creation of which. We are talking about the Arduino Uno platform-based model of the worm’s neural network, which is absolutely reliable from a biological point of view. Caenorhabditis elegans are nematodes with a fully studied biology. Each gene is known to scientists, while the nervous system has been studied repeatedly. Three years ago, the OpenWorm research team recorded all the connections between 302 neurons of this worm. The information received was transferred to a computer program in order to create a virtual worm in this way. This goal has not yet been achieved. However, a simulation of the brain of this organism turned out, followed by its immersion in a regular Lego robot. They also created an analogue of sonars, the organic parts of the worm working with its nose, and motors that replace motor neurons on both sides of the body. The digitized version of the neural system Caenorhabditis elegans, being loaded into the robot, began to control it without special programming. He moves independently, brakes in front of obstacles, turns around. For this, only connections imitating the worm’s brain are used. It is interesting that the development of three years ago has the features of the system. That they did not allow, having assembled the robot, to load into it the digitized neural network of a round worm. Nematoduino is the latest open source project, using only about 13.5 thousand bytes or 42% of the program memory of a board compatible with UNO, and 40% (825 bytes) of SRAM. There are plenty of places to add brand new sensors and a proprietary code. There is a lack of a more elegant option for connecting drives and motor neurons than banal wheels. There are other things that need to be further developed. Let’s say the process that triggers the activity of individual neurons can be simplified. Perhaps it will work out. Then, having compiled an updated map of the human brain, it will be possible, if not to load consciousness into a computer, then at least significantly improve neural networks. By the way, work on such a map is already underway.