Advancements in Neuromorphic Systems

This chapter explores the evolution of neuromorphic systems through recurrent networks, revealing their efficiency and superior performance over traditional networks. It highlights the complexities of training these networks, the implications of novel learning rules, and the future of hardware implementations leveraging advancements like memristive technologies.