This is a Master thesis for the MS Neuroengineering program at TU Munich. Abstract: Neuronal cell cultures have served as a pivotal platform for neuroscience experiments sincethe early 20th century. However, despite their long history of use, the processes governingthe development of connectivity and firing patterns in these cultures remain inadequatelyunderstood. In this master’s thesis, I integrate basic plasticity rules with established models of neuronal culture growth andactivity. The objective is to create a realistic simulation of neuronal culturedevelopment, which can be effectively employed as a plausible simulation of neuronal cell cultures development fot the real-world neuronalculture experiments. To demonstrate the utility of this simulation, I present a case studyinvolving the silencing of neuronal activity using CNQX as an example. The described plasticity-rules aware approach promises to advance our understanding of neuronal culture dynamics, providingvaluable insights into the parameter space of neuronal cell culture experiments. By offering a powerful digitaltool for experimentation and analysis, this work contributes to the ongoing exploration ofneuroscience of the cell cultures and offers a digital tool that can meaningfully aid real-world experiments, saving money and time for the real-world parameter sweeps.