Learning Dynamics in Memristor-Based Equilibrium Propagation

Michael Döll, Andreas Müller, Bernd Ulmann

Memristor-based in-memory computing has emerged as a promising paradigm to overcome the constraints of the von Neumann bottleneck and the memory wall by enabling fully parallelisab…