Neuromorphic computers are a new type of computer that are inspired by the way the human brain works. Unlike traditional computers that use a series of ones and zeros to represent information, neuromorphic computers use artificial neurons and synapses that communicate using electrical pulses, similar to how real neurons communicate. This makes neuromorphic computers much more energy efficient and potentially more powerful than traditional computers, especially for tasks like pattern recognition and learning. However, programming these brain-inspired computers requires a whole new way of thinking about programming. Traditional programming languages are not well-suited for neuromorphic computers because they are based on the way traditional computers work. Researchers are exploring new programming paradigms that take into account the unique characteristics of neuromorphic computers, such as their use of continuous time, their ability to adapt and change, and their decentralized nature.