Learning Dynamics in Memristor-Based Equilibrium Propagation

This article likely explores the use of memristors in implementing and understanding equilibrium propagation, a machine learning technique. The focus is on the dynamics of learning within this specific hardware implementation. The source, ArXiv, suggests this is a research paper, likely detailing experimental results, theoretical analysis, or a combination of both. The topic is relevant to both hardware and machine learning.