Biological neurons do not all need to act at the same instant. Some neuromorphic processors adopt a related principle: computing units communicate through events, or spikes, when their state changes. This can avoid work spent repeatedly processing unchanged information.
These are electronic circuits, not brain cells. They bring memory closer to computation and support distributed processing. Intel's Loihi research processors illustrate an approach based on spiking neural networks, where signal timing can carry information. Neuromorphic describes a family of approaches rather than one fixed architecture.
The practical attraction is efficient processing of changing inputs, including sensors and robotics. Any advantage depends on matching the task, algorithm and hardware; ordinary software does not automatically benefit. Much of the field remains experimental. It also offers a useful comparison for Alien News: brain-inspired electronics borrow operating principles, while biological computing uses living cells. Neither should be confused with a complete human brain.