Neuromorphic engineering is an emerging field that aims to develop physical implementations of brain-inspired systems using electronic circuits. These circuits, drawing inspiration from the brain's architecture, offer several advantages over the traditional von Neumann architecture. These advantages include improved power consumption, enhanced adaptability and learning capabilities, real-time processing, and fault tolerance. As a result, neuromorphic technologies hold the potential to replace conventional approaches in various domains. However, it is important to note that existing technologies for neuromorphic computation, such as chips and boards, are still predominantly in the prototype stage. Consequently, they are often expensive and not readily available on the market.