Since ages people have been wondering the inner workings of brain. There is more and more information about processes involving particular brain regions, yet synthesizing neural-networks in a large scale has always been a problem. Despite the fact that the popular desktop computer is becoming more powerful, simulating massively parallel computations aways proved to be a challenge. Due to its genericness, in very specialized work, such as neural networks, it is far better to design and use dedicated array of processors. Such approach has been used in development of the Ubichip – a device designed specifically for such purposes. The design goal was to simplify the execution elements to suit the needs of efficient neuron model algorithms emulation. As with every development cycle of a complex tool there are many tasks that may be carried out in parallel. This, of course, effects in allowing the development team to shorten the cycle and provide the solution faster. This however, requires a set of tools that will allow to prototype and verify work progress against some set of basic rules. The Ubichip was already supported by a toolkit named SpiNDeK, that allowed to create networks and with the use of ModelSim simulate the code. This solution for proof-checking the algorithms however proved to be cumbersome and due to many levels of indirection – slow. To increase efficiency when working with code, the programmer should not have to wait endlessly watching the progress bars. To remedy this, improve efficiency and encourage more precise tuning and development of new neuron-model algorithms the Ubichip Virtual Machine was born. At first it was just meant to be a simple visualization tool, but as it turned out there was a missing link in the chain of tools available for the Ubichip, which had to be filled. Thus, in this work a virtual machine for the Ubichip has been developed, as well as a visualization tool that enables a convenient display of the evolution of spiking neurons in a network. i