This episode explores how memristive devices are reshaping the landscape of neuromorphic computing. We dive into their classifications, switching mechanisms, and applications in neural networks. Special focus is given to ion-based memristive devices, which emulate key brain functions like synapses and dendrites, and their role in reservoir computing. We also discuss the challenges of scalability and reproducibility, and future directions that could unlock more bio-realistic and energy-efficient AI hardware.
