Neuroplatform is a research platform created by FinalSpark which offers biological ‘minibrains’ or neurospheres built on top of multi-electrode-arrays to be used for Wetware Computing. This thesis explores strategies for reinforcement learning on a mini-brain using which it ‘learns’ to adapt itself towards a target. Several computation methods are therefore used to analyse the events in the mini-brain in order to develop a quantifiable learning algorithm.