The rapid proliferation of AI has prompted researchers to direct significant attention towards the development of novel and innovative solutions that optimise its performance and power consumption. Spiking Neural Networks (SNN) represent a particular type of neural network that emulates the behaviour of the biological brain to enhance neural computation. This results in advantages such as low-power consumption, effective memory-processing colocation, and event-driven execution. The potential benefits of neuromorphic computing could be realised through the utilisation of optimised neuromorphic hardware, such as SpiNNaker 2 and Intel Loihi 2. However, these accelerators are difficult to obtain and often expensive due to their experimental nature.