Exploiting the Short-term to Long-term Plasticity Transition in Memristive Nanodevice Learning Architectures

no code implementations • 27 Jun 2016 • Christopher H. Bennett, Selina La Barbera, Adrien F. Vincent, Fabien Alibart, Damien Querlioz

This approach outperforms a conventional ELM-inspired system when the first layer is imprinted before training and testing, and especially so when variability in device timing evolution is considered: variability is therefore transformed from an issue to a feature.

Classification General Classification