A neuromorphic computing system processes information in a way that mimics how the human brain works. It relies on electronic analog hardware circuits operating asynchronously, while using a resistive memory cell to store and compute basic neural network operations. This contrasts with traditional digital neural network architectures whereby computing is performed using dedicated synchronous signal processing elements, while data resides in separate memory structures.
